World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
66
Citations
18192
World Ranking
2062
National Ranking
841

Ming Zhao publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Ming Zhao sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 283 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 165 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Ming Zhao D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Ming Zhao sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 199 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 19 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125+ D-Index: 99 scientists
30 D-Index 125+

This scientist: 66 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Overview

Ming Zhao is affiliated with the Geophysical Fluid Dynamics Laboratory in the United States and has contributed extensively to research in Earth and Planetary Sciences as well as Environmental Science. Their work spans a variety of subfields, most notably Atmospheric Science, Global and Planetary Change, and Oceanography, alongside contributions to Astronomy and Astrophysics and Ecology, Evolution, Behavior and Systematics.

Their research focuses on several key scientific topics, including:

  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Tropical and Extratropical Cyclones Research
  • Atmospheric and Environmental Gas Dynamics
  • Atmospheric chemistry and aerosols
  • Atmospheric Ozone and Climate
  • Atmospheric aerosols and clouds

Ming Zhao has published multiple papers across a selection of prominent scientific venues. Their frequent publication venues include:

  • Journal of Climate
  • Journal of Advances in Modeling Earth Systems
  • Zenodo (CERN European Organization for Nuclear Research)
  • Geophysical Research Letters
  • npj Climate and Atmospheric Science

Notable recent papers by Ming Zhao are:

  • The GFDL Earth System Model Version 4.1 (GFDL-ESM 4.1): Overall Coupled Model Description and Simulation Characteristics, 2020, Journal of Advances in Modeling Earth Systems
  • SPEAR: The Next Generation GFDL Modeling System for Seasonal to Multidecadal Prediction and Projection, 2020, Journal of Advances in Modeling Earth Systems
  • Detected climatic change in global distribution of tropical cyclones, 2020, Proceedings of the National Academy of Sciences
  • Clouds and Convective Self-Aggregation in a Multimodel Ensemble of Radiative-Convective Equilibrium Simulations, 2020, Journal of Advances in Modeling Earth Systems
  • The GFDL Global Atmospheric Chemistry-Climate Model AM4.1: Model Description and Simulation Characteristics, 2020, Journal of Advances in Modeling Earth Systems

Ming Zhao has collaborated frequently with other researchers. Their main frequent co-authors include:

  • Zhihong Tan
  • Bosong Zhang
  • Paul Ginoux
  • Huan Guo
  • Wenhao Dong

Best Publications

  • Global Scale Attribution of Anthropogenic and Natural Dust Sources and their Emission Rates Based on MODIS Deep Blue Aerosol Products

    Paul Ginoux;Joseph M. Prospero;Thomas E. Gill;N. Christina Hsu

  • The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL global coupled model CM3

    Leo J. Donner;Bruce L. Wyman;Richard S. Hemler;Larry W. Horowitz

  • Intercomparison of Bulk Aerodynamic Algorithms for the Computation of Sea Surface Fluxes Using TOGA COARE and TAO Data

    Xubin Zeng;Ming Zhao;Ming Zhao;Robert Earl Dickinson

  • The GFDL Earth System Model Version 4.1 (GFDL-ESM 4.1): Overall Coupled Model Description and Simulation Characteristics

    J. P. Dunne;L. W. Horowitz;A. J. Adcroft;P. Ginoux

  • Simulations of Global Hurricane Climatology, Interannual Variability, and Response to Global Warming Using a 50-km Resolution GCM

    Ming Zhao;Isaac M. Held;Shian Jiann Lin;Gabriel Andres Vecchi

  • The Response of the ITCZ to Extratropical Thermal Forcing: Idealized Slab-Ocean Experiments with a GCM

    Sarah M. Kang;Isaac M. Held;Dargan M. W. Frierson;Ming Zhao

  • Global Projections of Intense Tropical Cyclone Activity for the Late Twenty-First Century from Dynamical Downscaling of CMIP5/RCP4.5 Scenarios

    Thomas R. Knutson;Joseph J. Sirutis;Ming Zhao;Robert E. Tuleya

  • Structure and Performance of GFDL's CM4.0 Climate Model

    I. M. Held;H. Guo;A. Adcroft;J. P. Dunne

  • Dynamical Downscaling Projections of Twenty-First-Century Atlantic Hurricane Activity: CMIP3 and CMIP5 Model-Based Scenarios

    Thomas R. Knutson;Joseph J. Sirutis;Gabriel A. Vecchi;Stephen Garner

  • The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 2. Model Description, Sensitivity Studies, and Tuning Strategies

    M. Zhao;J.-C. Golaz;I. M. Held;H. Guo

  • North American Climate in CMIP5 Experiments: Part III: Assessment of Twenty-First-Century Projections*

    Eric D. Maloney;Suzana J. Camargo;Edmund Chang;Brian Colle

  • The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 1. Simulation Characteristics With Prescribed SSTs

    M. Zhao;J. C. Golaz;Isaac M. Held;H. Guo

  • SPEAR – the next generation GFDL modeling system for seasonal to multidecadal prediction and projection

    Thomas L. Delworth;William F. Cooke;William F. Cooke;Alistair Adcroft;Alistair Adcroft;Mitchell Bushuk;Mitchell Bushuk

  • Tropical cyclone rainfall area controlled by relative sea surface temperature.

    Yanluan Lin;Ming Zhao;Minghua Zhang

  • Hurricanes and climate: The U.S. Clivar working group on hurricanes

    Kevin J. E. Walsh;Suzana J. Camargo;Gabriel A. Vecchi;Anne Sophie Daloz

  • Detected climatic change in global distribution of tropical cyclones.

    Hiroyuki Murakami;Hiroyuki Murakami;Thomas L. Delworth;William F. Cooke;Ming Zhao

  • Aquaplanets, Climate Sensitivity, and Low Clouds

    Brian Medeiros;Bjorn Stevens;Isaac M. Held;Ming Zhao

  • Increase of global monsoon area and precipitation under global warming: A robust signal?

    Pang-chi Hsu;Tim Li;Jing-Jia Luo;Hiroyuki Murakami

  • Clouds and Convective Self-Aggregation in a Multimodel Ensemble of Radiative-Convective Equilibrium Simulations.

    Allison A. Wing;Catherine L. Stauffer;Tobias Becker;Kevin A. Reed

  • Statistical–Dynamical Predictions of Seasonal North Atlantic Hurricane Activity

    Gabriel Andres Vecchi;Ming Zhao;Ming Zhao;Hui Wang;Gabriele Villarini

  • The GFDL Global Atmospheric Chemistry-Climate Model AM4.1: Model Description and Simulation Characteristics

    Larry Wayne Horowitz;Vaishali Naik;Fabien Paulot;Paul A Ginoux

  • North American Climate in CMIP5 Experiments. Part II: Evaluation of Historical Simulations of Intraseasonal to Decadal Variability

    Justin Sheffield;Suzana J. Camargo;Rong Fu;Qi Hu

Frequent Co-Authors

Isaac M. Held
Isaac M. Held Princeton University
Gabriel A. Vecchi
Gabriel A. Vecchi Princeton University
Suzana J. Camargo
Suzana J. Camargo Lamont-Doherty Earth Observatory
Paul Ginoux
Paul Ginoux Geophysical Fluid Dynamics Laboratory
Adam H. Sobel
Adam H. Sobel Lamont-Doherty Earth Observatory
Hiroyuki Murakami
Hiroyuki Murakami National Oceanic and Atmospheric Administration
Baoqiang Xiang
Baoqiang Xiang University Corporation for Atmospheric Research
Yi Ming
Yi Ming Geophysical Fluid Dynamics Laboratory
Vaishali Naik
Vaishali Naik Geophysical Fluid Dynamics Laboratory
Michael F. Wehner
Michael F. Wehner Lawrence Berkeley National Laboratory

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