Wang, Yun

Combined from CaltechAUTHORS

• Anselmi, A. and Laureijs, R., el al. (2026) Euclid. VII. Structural-thermal-optical performance; Astronomy & Astrophysics; Vol. 709; A15; 10.1051/0004-6361/202557524
• Zalesky, L. and Weaver, J. R., el al. (2026) Euclid preparation. LXXXVI. Cosmic Dawn Survey: Evolution of the galaxy stellar mass function across 0.2 < z ≤ 6.5 measured over 10 square degrees; Astronomy & Astrophysics; Vol. 708; A104; 10.1051/0004-6361/202555728
• Naidoo, K. and Ruiz-Zapatero, J., el al. (2026) Euclid preparation. LXXXIX. Accurate and precise data-driven angular power spectrum covariances; Astronomy & Astrophysics; Vol. 708; A167; 10.1051/0004-6361/202555893
• Bel, J. and Gouyou Beauchamps, S., el al. (2026) Euclid preparation. LXXXVII. Non-Gaussianity of two-point statistics likelihood: Precise analysis of the matter power spectrum distribution; Astronomy & Astrophysics; Vol. 708; A105; 10.1051/0004-6361/202556642
• Kraljic, K. and Laigle, C., el al. (2026) Euclid preparation. LXXXVIII. 3D reconstruction of the cosmic web with Euclid Deep spectroscopic samples; Astronomy & Astrophysics; Vol. 708; A164; 10.1051/0004-6361/202557286
• Urbano, M. and Duc, P.-A., el al. (2026) Euclid preparation. LXXIX. Using mock low surface brightness dwarf galaxies to probe Euclid Wide Survey detection capabilities; Astronomy & Astrophysics; Vol. 707; A229; 10.1051/0004-6361/202557270
• Matthewson, W. L. and Durrer, R., el al. (2026) Euclid preparation. LXXXIV. The flat-sky approximation for the clustering of Euclid's photometric galaxies; Astronomy & Astrophysics; Vol. 707; A234; 10.1051/0004-6361/202557773
• Paterson, K. and Schirmer, M., el al. (2026) Euclid. VI. NISP-P optical ghosts; Astronomy & Astrophysics; Vol. 707; A226; 10.1051/0004-6361/202555106
• Kubik, B. and Barbier, R., el al. (2026) Euclid preparation. LXXX. Overview of Euclid infrared detector performance from ground tests; Astronomy & Astrophysics; Vol. 707; A230; 10.1051/0004-6361/202555777
• Quai, S. and Pozzetti, L., el al. (2026) Euclid preparation. LXXXII. Predicting star-forming galaxy scaling relations with the spectral stacking code SpectraPyle; Astronomy & Astrophysics; Vol. 707; A232; 10.1051/0004-6361/202557329
• Risso, I. and Veropalumbo, A., el al. (2026) Euclid preparation. LXXXIII. The impact of redshift interlopers on the two-point correlation function analysis; Astronomy & Astrophysics; Vol. 707; A233; 10.1051/0004-6361/202555402
• Vinciguerra, S. and Bouchè, F., el al. (2026) Euclid preparation. LXXXV. Toward a DR1 application of higher-order weak lensing statistics; Astronomy & Astrophysics; Vol. 707; A235; 10.1051/0004-6361/202557573
• Guidi, M. and Veropalumbo, A., el al. (2026) Euclid preparation. LXXVIII. Full-shape modelling of two-point and three-point correlation functions in real space; Astronomy & Astrophysics; Vol. 707; A228; 10.1051/0004-6361/202556177
• Gillard, W. and Maciaszek, T., el al. (2026) Euclid preparation. XXVII. The NISP spectroscopy channel: Ground performance and calibration; Astronomy & Astrophysics; Vol. 707; A227; 10.1051/0004-6361/202555859
• Nersesian, A. and Abdurro'uf, el al. (2026) Euclid preparation. LXXXI. The impact of nonparametric star formation histories on spatially resolved galaxy property estimation using synthetic Euclid images; Astronomy & Astrophysics; Vol. 707; A231; 10.1051/0004-6361/202556464
• Monaco, P. and Parimbelli, G., el al. (2025) Euclid preparation. LXXVI. Simulating thousands of Euclid spectroscopic skies; Astronomy & Astrophysics; Vol. 704; A306; 10.1051/0004-6361/202556459
• Abdurro'uf and Tortora, C., el al. (2025) Euclid preparation. LXXIII. Spatially resolved stellar populations of local galaxies with Euclid: A proof of concept using synthetic images with the TNG50 simulation; Astronomy & Astrophysics; Vol. 702; A72; 10.1051/0004-6361/202554516
• de la Torre, S. and Marulli, F., el al. (2025) Euclid preparation. LXXII. Three-dimensional galaxy clustering in configuration space. 1. Two-point correlation function estimation; Astronomy & Astrophysics; Vol. 700; A78; 10.1051/0004-6361/202553927
• Bellhouse, C. and Golden-Marx, J. B., el al. (2025) Euclid preparation. LXX. Forecasting detection limits for intracluster light in the Euclid Wide Survey; Astronomy & Astrophysics; Vol. 698; A14; 10.1051/0004-6361/202553887
• Hormuth, F. and Jahnke, K., el al. (2025) Euclid. IV. The NISP Calibration Unit; Astronomy & Astrophysics; Vol. 697; A4; 10.1051/0004-6361/202450345
• Jahnke, K. and Gillard, W., el al. (2025) Euclid. III. The NISP Instrument; Astronomy & Astrophysics; Vol. 697; A3; 10.1051/0004-6361/202450786
• Mellier, Y. and Abdurro'uf, el al. (2025) Euclid. I. Overview of the Euclid mission; Astronomy & Astrophysics; Vol. 697; A1; 10.1051/0004-6361/202450810
• Massari, D. and Dalessandro, E., el al. (2025) Euclid: Early Release Observations – Unveiling the morphology of two Milky Way globular clusters out to their periphery; Astronomy and Astrophysics; Vol. 697; A8; 10.1051/0004-6361/202449696
• Tanidis, K. and Cardone, V.F., el al. (2024) Euclid preparation. XXXIV. The effect of linear redshift-space distortions in photometric galaxy clustering and its cross-correlation with cosmic shear; Astronomy & Astrophysics; 10.1051/0004-6361/202347870
• Pöntinen, M. and Granvik, M., el al. (2023) Euclid: Identification of asteroid streaks in simulated images using deep learning; Astronomy & Astrophysics; Vol. 679; A135; 10.1051/0004-6361/202347551
• Bisigello, L and Conselice, C J, el al. (2023) Euclid preparation – XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images; Monthly Notices of the Royal Astronomical Society; Vol. 520; No. 3; 3529-3548; 10.1093/mnras/stac3810
• Bretonnière, H. and Kuchner, U., el al. (2023) Euclid preparation XXVI. The Euclid Morphology Challenge: Towards structural parameters for billions of galaxies; Astronomy and Astrophysics; Vol. 671; Art. No. A102; 10.1051/0004-6361/202245042
• Camarena, D. and Marra, V., el al. (2023) Euclid: Testing the Copernican principle with next-generation surveys; Astronomy and Astrophysics; Vol. 671; Art. No. A68; 10.1051/0004-6361/202244557
• Cabayol, L. and Eriksen, M., el al. (2023) The PAU Survey and Euclid: Improving broadband photometric redshifts with multi-task learning; Astronomy and Astrophysics; Vol. 671; Art. No. 153; 10.1051/0004-6361/202245027
• Castro, T. and Fumagalli, A., el al. (2023) Euclid preparation XXIV. Calibration of the halo mass function in Λ(ν)CDM cosmologies; Astronomy and Astrophysics; Vol. 671; Art. No. A100; 10.1051/0004-6361/202244674
• Humphrey, A. and Bisigello, L., el al. (2023) Euclid preparation XXII. Selection of quiescent galaxies from mock photometry using machine learning; Astronomy and Astrophysics; Vol. 671; Art. No. A99; 10.1051/0004-6361/202244307
• Merlin, E. and Castellano, M., el al. (2023) Euclid preparation XXV. The Euclid Morphology Challenge: Towards model-fitting photometry for billions of galaxies; Astronomy and Astrophysics; Vol. 671; Art. No. A101; 10.1051/0004-6361/202245041
• Naidoo, K. and Johnston, H., el al. (2023) Euclid: Calibrating photometric redshifts with spectroscopic cross-correlations; Astronomy and Astrophysics; Vol. 670; Art. No. A149; 10.1051/0004-6361/202244795
• Contarini, S. and Verza, G., el al. (2022) Euclid: Cosmological forecasts from the void size function; Astronomy and Astrophysics; Vol. 667; Art. No. A162; 10.1051/0004-6361/202244095
• van Mierlo, S. E. and Caputi, K. I., el al. (2022) Euclid preparation. XXI. Intermediate-redshift contaminants in the search for z > 6 galaxies within the Euclid Deep Survey; Astronomy and Astrophysics; Vol. 666; A200; 10.1051/0004-6361/202243950
• Moriya, T. J. and Inserra, C., el al. (2022) Euclid: Searching for pair-instability supernovae with the Deep Survey; Astronomy and Astrophysics; Vol. 666; Art. No. A157; 10.1051/0004-6361/202243810
• Keihänen, E. and Lindholm, V., el al. (2022) Euclid: Fast two-point correlation function covariance through linear construction; Astronomy and Astrophysics; Vol. 666; Art. No. A129; 10.1051/0004-6361/202244065
• Saglia, R. and De Nicola, S., el al. (2022) Euclid preparation. XX. The Complete Calibration of the Color-Redshift Relation survey: LBT observations and data release; Astronomy and Astrophysics; Vol. 664; Art. No. A196; 10.1051/0004-6361/202243604
• Schirmer, M. and Jahnke, K., el al. (2022) Euclid preparation. XVIII. The NISP photometric system; Astronomy and Astrophysics; Vol. 662; Art. No. A92; 10.1051/0004-6361/202142897
• Scaramella, R. and Amiaux, J., el al. (2022) Euclid preparation. I. The Euclid Wide Survey; Astronomy and Astrophysics; Vol. 662; Art. No. A112; 10.1051/0004-6361/202141938
• Lepori, F. and Tutusaus, I., el al. (2022) Euclid preparation: XIX. Impact of magnification on photometric galaxy clustering; Astronomy and Astrophysics; Vol. 662; Art. No. A93; 10.1051/0004-6361/202142419
• Upham, R. E. and Brown, M. L., el al. (2022) Euclid: Covariance of weak lensing pseudo-C_ℓ estimates. Calculation, comparison to simulations, and dependence on survey geometry; Astronomy and Astrophysics; Vol. 660; Art. No. A114; 10.1051/0004-6361/202142908
• Nesseris, S. and Sapone, D., el al. (2022) Euclid: Forecast constraints on consistency tests of the ΛCDM model; Astronomy and Astrophysics; Vol. 660; Art. No. A67; 10.1051/0004-6361/202142503
• Cagliari, M. S. and Granett, B. R., el al. (2022) Euclid: Constraining ensemble photometric redshift distributions with stacked spectroscopy; Astronomy and Astrophysics; Vol. 660; Art. No. A9; 10.1051/0004-6361/202142224
• Wang, Yun and Zhai, Zhongxu, el al. (2022) The High Latitude Spectroscopic Survey on the Nancy Grace Roman Space Telescope; Astrophysical Journal; Vol. 928; No. 1; Art. No. 1; 10.3847/1538-4357/ac4973
• Moneti, A. and McCracken, H. J., el al. (2022) Euclid preparation. XVII. Cosmic Dawn Survey: Spitzer Space Telescope observations of the Euclid deep fields and calibration fields; Astronomy and Astrophysics; Vol. 658; Art. No. A126; 10.1051/0004-6361/202142361
• Wang, Yun and Armus, Lee, el al. (2021) Illuminating Galaxy Evolution at Cosmic Noon with ISCEA: the Infrared Satellite for Cosmic Evolution Astrophysics; 10.48550/arXiv.2112.02387
• Pocino, A. and Tutusaus, I., el al. (2021) Euclid preparation. XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analyses; Astronomy and Astrophysics; Vol. 655; Art. No. A44; 10.1051/0004-6361/202141061
• Eifler, Tim and Simet, Melanie, el al. (2021) Cosmology with the Roman Space Telescope: synergies with the Rubin Observatory Legacy Survey of Space and Time; Monthly Notices of the Royal Astronomical Society; Vol. 507; No. 1; 1514-1527; 10.1093/mnras/stab533
• Eifler, Tim and Miyatake, Hironao, el al. (2021) Cosmology with the Roman Space Telescope – multiprobe strategies; Monthly Notices of the Royal Astronomical Society; Vol. 507; No. 2; 1746-1761; 10.1093/mnras/stab1762
• Martinelli, M. and Martins, C. J. A. P., el al. (2021) Euclid: Constraining dark energy coupled to electromagnetism using astrophysical and laboratory data; Astronomy & Astrophysics; Vol. 654; Art. No. A148; 10.1051/0004-6361/202141353
• Zhai, Zhongxu and Wang, Yun, el al. (2021) Simulating properties of emission line galaxies from Nancy Grace Roman Space Telescope; 10.48550/arXiv.2109.12216
• Jiménez Muñoz, A. and Macías-Pérez, J., el al. (2021) Euclid: Estimation of the Impact of Correlated Readout Noise for Flux Measurements with the Euclid NISP Instrument; Publications of the Astronomical Society of the Pacific; Vol. 133; No. 1027; Art. No. 094502; 10.1088/1538-3873/ac21de
• Zhai, Zhongxu and Wang, Yun, el al. (2021) Linear bias and halo occupation distribution of emission-line galaxies from Nancy Grace Roman Space Telescope; Monthly Notices of the Royal Astronomical Society; Vol. 505; No. 2; 2784-2800; 10.1093/mnras/stab1539
• Fumagalli, A. and Saro, A., el al. (2021) Euclid : Effects of sample covariance on the number counts of galaxy clusters; Astronomy and Astrophysics; Vol. 652; Art. No. A21; 10.1051/0004-6361/202140592
• Knabenhans, M. and Stadel, J., el al. (2021) Euclid preparation. IX. EuclidEmulator2 – power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations; Monthly Notices of the Royal Astronomical Society; Vol. 505; No. 2; 2840-2869; 10.1093/mnras/stab1366
• Taylor, L. and Kitching, T., el al. (2021) Euclid: Forecasts for k-cut 3×2 Point Statistics; Open Journal of Astrophysics; Vol. 4; Art. No. astro.2012.04672; 10.21105/astro.2012.04672
• Zhai, Zhongxu and Chuang, Chia-Hsun, el al. (2021) Clustering in the simulated H α galaxy redshift survey from Nancy Grace Roman Space Telescope; Monthly Notices of the Royal Astronomical Society; Vol. 501; No. 3; 3490-3501; 10.1093/mnras/staa3911
• Zhai, Zhongxu and Wang, Yun, el al. (2020) Forecasting cosmological constraints from the weak lensing magnification of type Ia supernovae measured by the Nancy Grace Roman Space Telescope; Physical Review D; Vol. 102; No. 12; Art. No. 123513; 10.1103/PhysRevD.102.123513
• Desprez, G. and Paltani, S., el al. (2020) Euclid preparation. X. The Euclid photometric-redshift challenge; Astronomy and Astrophysics; Vol. 644; Art. No. A31; 10.1051/0004-6361/202039403
• Pöntinen, M. and Granvik, M., el al. (2020) Euclid: Identification of asteroid streaks in simulated images using StreakDet software; Astronomy and Astrophysics; Vol. 644; Art. No. A35; 10.1051/0004-6361/202037765
• Guglielmo, V. and Saglia, R., el al. (2020) Euclid preparation. VIII. The Complete Calibration of the Colour–Redshift Relation survey: VLT/KMOS observations and data release; Astronomy and Astrophysics; Vol. 642; Art. No. A192; 10.1051/0004-6361/202038334
• Blanchard, A. and Camera, S., el al. (2020) Euclid preparation. VII. Forecast validation for Euclid cosmological probes; Astronomy and Astrophysics; Vol. 642; Art. No. A191; 10.1051/0004-6361/202038071
• Bagley, Micaela B. and Scarlata, Claudia, el al. (2020) HST Grism-derived Forecasts for Future Galaxy Redshift Surveys; Astrophysical Journal; Vol. 897; No. 1; Art. No. 98; 10.3847/1538-4357/ab9828
• Zhai, Zhongxu and Park, Chan-Gyung, el al. (2020) CMB distance priors revisited: effects of dark energy dynamics, spatial curvature, primordial power spectrum, and neutrino parameters; Journal of Cosmology and Astroparticle Physics; Vol. 2020; No. 7; Art. No. JCAP07; 10.1088/1475-7516/2020/07/009
• Yao, Shenqin and Yuan, Peng, el al. (2020) RecV recombinase system for in vivo targeted optogenomic modifications of single cells or cell populations; Nature Methods; Vol. 17; No. 4; 422-429; PMCID PMC7135964; 10.1038/s41592-020-0774-3
• Elvis, Martin and Arenberg, Jon, el al. (2020) The Case for Probe-class NASA Astrophysics Missions; 10.48550/arXiv.2002.12739
• Zhai, Zhongxu and Benson, Andrew, el al. (2019) Prediction of H α and [O III] emission line galaxy number counts for future galaxy redshift surveys; Monthly Notices of the Royal Astronomical Society; Vol. 490; No. 3; 3667-3678; 10.1093/mnras/stz2844
• Wang, Yun and Dickinson, Mark, el al. (2019) ATLAS Probe: Breakthrough Science of Galaxy Evolution, Cosmology, Milky Way, and the Solar System; 10.48550/arXiv.1909.00070
• Merson, Alexander and Smith, Alex, el al. (2019) Linear bias forecasts for emission line cosmological surveys; Monthly Notices of the Royal Astronomical Society; Vol. 486; No. 4; 5737-5765; 10.1093/mnras/stz1204
• Zhai, Zhongxu and Wang, Yun (2019) Robust and model-independent cosmological constraints from distance measurements; Journal of Cosmology and Astroparticle Physics; Vol. 2019; No. 7; Art. No. JCAP07(2019)005; 10.1088/1475-7516/2019/07/005
• Martens, Daniel and Fang, Xiao, el al. (2019) Effects of [N II] and Hα line blending on the WFIRST Galaxy redshift survey; Monthly Notices of the Royal Astronomical Society; Vol. 485; No. 1; 211-228; 10.1093/mnras/stz391
• Capak, P. and Sconlic, D., el al. (2019) Mini-survey of the northern sky to Dec < +30; 10.48550/arXiv.1904.10438
• Capak, P. and Cuillandre, J-C., el al. (2019) Enhancing LSST Science with Euclid Synergy; 10.48550/arXiv.1904.10439
• Zhai, Zhongxu and Wang, Yun (2019) Reconstructing the weak lensing magnification distribution of type Ia supernovae; Physical Review D; Vol. 99; No. 8; Art. No. 083525; 10.1103/physrevd.99.083525
• Wang, Yun and Kirkpatrick, J. Davy, el al. (2019) ATLAS Probe: Breakthrough Science of Galaxy Evolution, Cosmology, Milky Way, and the Solar System; Publications of the Astronomical Society of Australia; Vol. 36; Art. No. e015; 10.1017/pasa.2019.5
• Doré, Olivier and Hirata, C., el al. (2019) WFIRST: The Essential Cosmology Space Observatory for the Coming Decade; 10.48550/arXiv.1904.01174
• Dickinson, Mark and Wang, Yun, el al. (2019) Observing Galaxy Evolution in the Context of Large-Scale Structure; 10.48550/arXiv.1903.07409
• Koekemoer, Anton M. and Foley, R. J., el al. (2019) An Ultra Deep Field survey with WFIRST; 10.48550/arXiv.1903.06154
• Wang, Yun and Doré, Olivier, el al. (2019) Illuminating the dark universe with a very high density galaxy redshift survey over a wide area; 10.48550/arXiv.1903.06034
• Pisani, Alice and Doré, Olivier, el al. (2019) Cosmic voids: a novel probe to shed light on our Universe; 10.48550/arXiv.1903.05161
• Akeson, Rachel L. and Armus, Lee, el al. (2019) The Wide Field Infrared Survey Telescope: 100 Hubbles for the 2020s; 10.48550/arXiv.1902.05569
• Amendola, Luca and Wang, Yun, el al. (2018) Cosmology and fundamental physics with the Euclid satellite; Living Reviews in Relativity; Vol. 21; No. 2; 10.1007/s41114-017-0010-3
• Foley, R. J. and Koekemoer, A. M., el al. (2018) LSST Observing Strategy White Paper: LSST Observations of WFIRST Deep Fields; 10.48550/arXiv.1812.00514
• Content, Robert and Wang, Yun, el al. (2018) ATLAS probe for the study of galaxy evolution with 300,000,000 galaxy spectra; ISBN 9781510619494; Space Telescopes and Instrumentation 2018: Optical, Infrared, and Millimeter Wave; Art. No. 106980I; 10.1117/12.2313082
• Dai, Mi and Kuhlmann, Steve, el al. (2018) Photometric classification and redshift estimation of LSST Supernovae; Monthly Notices of the Royal Astronomical Society; Vol. 477; No. 3; 4142-4151; 10.1093/mnras/sty965
• Doré, Olivier and Hirata, Christopher, el al. (2018) WFIRST Science Investigation Team "Cosmology with the High Latitude Survey" Annual Report 2017; 10.48550/arXiv.1804.03628
• Faisst, Andreas L. and Masters, Daniel, el al. (2018) Empirical Modeling of the Redshift Evolution of the [N II]/Hα Ratio for Galaxy Redshift Surveys; Astrophysical Journal; Vol. 855; No. 2; Art. No. 132; 10.3847/1538-4357/aab1fc
• Merson, Alexander I. and Wang, Yun, el al. (2018) Predicting Hα emission-line galaxy counts for future galaxy redshift surveys; Monthly Notices of the Royal Astronomical Society; Vol. 474; No. 1; 177-196; 10.1093/mnras/stx2649
• Wang, Yun (2017) Modelling galaxy clustering on small scales to tighten constraints on dark energy and modified gravity; Monthly Notices of the Royal Astronomical Society; Vol. 464; No. 3; 3005-3012; 10.1093/mnras/stw2602
• Wang, Yun and Dai, Mi (2016) Exploring uncertainties in dark energy constraints using current observational data with Planck 2015 distance priors; Physical Review D; Vol. 94; No. 8; Art. No. 083521; 10.1103/PhysRevD.94.083521
• Vavrek, Roland D. and Wang, Yun (2016) Mission-level performance verification approach for the Euclid space mission; ISBN 978-1-5106-0201-4; Modeling, Systems Engineering, and Project Management for Astronomy VII; Art. No. 991105; 10.1117/12.2233015
• Dai, Mi and Wang, Yun (2016) Sampling the probability distribution of Type Ia Supernova lightcurve parameters in cosmological analysis; Monthly Notices of the Royal Astronomical Society; Vol. 459; No. 2; 1819-1826; 10.1093/mnras/stw762
• Wang, Yun (2015) Probing the nature of dark energy; International Journal of Modern Physics A; Vol. 30; No. 28-29; Art. No. 1545010; 10.1142/S0217751X15450104
• Mehta, Vihang and Scarlata, Claudia, el al. (2015) Predicting the redshift 2 Hα luminosity function using [O III] emission line galaxies; Astrophysical Journal; Vol. 811; No. 2; Art. No. 141; 10.1088/0004-637X/811/2/141
• Wang, Yun and Gjergo, E., el al. (2015) Analytic photometric redshift estimator for Type Ia supernovae from the Large Synoptic Survey Telescope; Monthly Notices of the Royal Astronomical Society; Vol. 451; No. 2; 1955-1963; 10.1093/mnras/stv1090
• Wang, Yun and Chuang, Chia-Hsun, el al. (2013) Towards more realistic forecasting of dark energy constraints from galaxy redshift surveys; Monthly Notices of the Royal Astronomical Society; Vol. 430; No. 3; 2446-2453; 10.1093/mnras/stt068
• Sullivan, Nora L. and Tzeranis, Dimitrios S., el al. (2011) Quantifying the Dynamics of Bacterial Secondary Metabolites by Spectral Multiphoton Microscopy; ACS Chemical Biology; Vol. 6; No. 9; 893-899; PMCID PMC3212935; 10.1021/cb200094w
• Wang, Yun and Wilks, Jessica C., el al. (2011) Phenazine-1-Carboxylic Acid Promotes Bacterial Biofilm Development via Ferrous Iron Acquisition; Journal of Bacteriology; Vol. 193; No. 14; 3606-3617; PMCID PMC3133341; 10.1128/JB.00396-11
• Wang, Yun and Kern, Suzanne E., el al. (2010) Endogenous Phenazine Antibiotics Promote Anaerobic Survival of Pseudomonas aeruginosa via Extracellular Electron Transfer; Journal of Bacteriology; Vol. 192; No. 1; 365-369; PMCID PMC2798253; 10.1128/JB.01188-09
• Wang, Yun and Newman, Dianne K. (2008) Redox Reactions of Phenazine Antibiotics with Ferric (Hydr)oxides and Molecular Oxygen; Environmental Science and Technology; Vol. 42; No. 7; 2380-2386; PMCID PMC2778262; 10.1021/es702290a