World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
92
Citations
34792
World Ranking
538
National Ranking
244

Xiaohong Liu 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 Xiaohong Liu 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: 386 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Xiaohong Liu 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 Xiaohong Liu 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: 92 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Overview

Xiaohong Liu is a researcher affiliated with Texas A&M University in the United States. Their work primarily focuses on Environmental Science and Earth and Planetary Sciences, with a specific concentration on Atmospheric Science and Global and Planetary Change among other subfields.

The research contributions of Xiaohong Liu prominently feature studies related to atmospheric chemistry and aerosols, atmospheric aerosols and clouds, and atmospheric ozone and climate. They also investigate atmospheric and environmental gas dynamics, climate variability and models, meteorological phenomena and simulations, as well as air quality and health impacts.

Key recent publications by Xiaohong Liu include:

  • Biomass burning aerosols in most climate models are too absorbing, 2021, Nature Communications
  • Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA), 2021, Bulletin of the American Meteorological Society
  • The global dust cycle and uncertainty in CMIP5 (Coupled Model Intercomparison Project phase 5) models, 2020, Atmospheric Chemistry and Physics
  • Exploring dimethyl sulfide (DMS) oxidation and implications for global aerosol radiative forcing, 2022, Atmospheric Chemistry and Physics
  • Drivers of recent decline in dust activity over East Asia, 2022, Nature Communications

The researcher frequently collaborates with a group of coauthors, including Zheng Lu, Chenglai Wu, Hailong Wang, Shaocheng Xie, and Xi Zhao. The number of collaborations with these coauthors ranges from 16 to 24 joint works, reflecting ongoing research partnerships.

Xiaohong Liu has published extensively in several scientific venues known for atmospheric and earth sciences research. The most frequent publication venues are:

  • Atmospheric Chemistry and Physics
  • Journal of Geophysical Research Atmospheres
  • Geophysical Research Letters
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Advances in Modeling Earth Systems

Best Publications

  • Predicting global atmospheric ice nuclei distributions and their impacts on climate

    Paul J. DeMott;Anthony J. Prenni;Xiaohong Liu;Sonia M. Kreidenweis

  • Analysis and quantification of the diversities of aerosol life cycles within AeroCom

    C. Textor;M. Schulz;S. Guibert;S. Kinne

  • Global dust model intercomparison in AeroCom phase I

    N. Huneeus;M. Schulz;Y. Balkanski;J. Griesfeller

  • Radiative forcing of the direct aerosol effect from AeroCom Phase II simulations

    Gunnar Myhre;Bjørn Hallvard Samset;M. Schulz;Y. Balkanski

  • Toward a Minimal Representation of Aerosols in Climate Models: Description and Evaluation in the Community Atmosphere Model CAM5

    Xiaohong Liu;Richard C. Easter;Steven J. Ghan;Rahul A. Zaveri

  • An AeroCom Initial Assessment - Optical Properties in Aerosol Component Modules of Global Models

    S. Kinne;M. Schulz;C. Textor;S. Guibert

  • The Beijing Climate Center Climate System Model (BCC-CSM): the main progress from CMIP5 to CMIP6

    Tongwen Wu;Yixiong Lu;Yongjie Fang;Xiaoge Xin

  • Review of Aerosol–Cloud Interactions: Mechanisms, Significance, and Challenges

    Jiwen Fan;Yuan Wang;Daniel Rosenfeld;Xiaohong Liu

  • Radiative forcing by aerosols as derived from the AeroCom present-day and pre-industrial simulations

    M. Schulz;C. Textor;S. Kinne;Yves Balkanski

  • Description and evaluation of a new four-mode version of the Modal Aerosol Module (MAM4) within version 5.3 of the Community Atmosphere Model

    X. Liu;X. Liu;P.-L. Ma;Hailong Wang;S. Tilmes

  • Evaluation of black carbon estimations in global aerosol models

    D. Koch;D. Koch;M. Schulz;S. Kinne;C. McNaughton

  • The AeroCom evaluation and intercomparison of organic aerosol in global models

    K. Tsigaridis;K. Tsigaridis;N. Daskalakis;N. Daskalakis;M. Kanakidou;P. J. Adams

  • Aerosol indirect effects – general circulation model intercomparison and evaluation with satellite data

    Johannes Quaas;Yi Ming;Surabi Menon;Surabi Menon;T. Takemura

  • Radiative forcing in the ACCMIP historical and future climate simulations

    D.T. Shindell;J.-F. Lamarque;M. Schulz;M. Flanner

  • Global simulations of ice nucleation and ice supersaturation with an improved cloud scheme in the Community Atmosphere Model

    A. Gettelman;Xiaohong Liu;S.J. Ghan;H. Morrison

  • Toward a Minimal Representation of Aerosols in Climate Models: Comparative Decomposition of Aerosol Direct, Semidirect, and Indirect Radiative Forcing

    Steven J. Ghan;Xiaohong Liu;Richard C. Easter;Rahul A. Zaveri

  • Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. I: single-layer cloud

    Stephen A. Klein;Renata B. McCoy;Hugh Morrison;Andrew S. Ackerman

  • An Overview of the Atmospheric Component of the Energy Exascale Earth System Model

    P. J. Rasch;S. Xie;P.-L. Ma;W. Lin

  • The spatial distribution of mineral dust and its shortwave radiative forcing over North Africa: modeling sensitivities to dust emissions and aerosol size treatments

    Chun Zhao;Xiaohong Liu;Lai-Yung R. Leung;Ben Johnson

  • Western boundary currents regulated by interaction between ocean eddies and the atmosphere

    Xiaohui Ma;Xiaohui Ma;Zhao Jing;Zhao Jing;Ping Chang;Ping Chang;Xue Liu;Xue Liu

  • Urban heat island effect on annual mean temperature during the last 50 years in China

    Q. Li;H. Zhang;X. Liu;J. Huang

Frequent Co-Authors

Richard C. Easter
Richard C. Easter Pacific Northwest National Laboratory
Steven J. Ghan
Steven J. Ghan Pacific Northwest National Laboratory
Susanne E. Bauer
Susanne E. Bauer Goddard Institute for Space Studies
Joyce E. Penner
Joyce E. Penner University of Michigan–Ann Arbor
Minghuai Wang
Minghuai Wang Nanjing University
Trond Iversen
Trond Iversen Norwegian Meteorological Institute
Michael Schulz
Michael Schulz Norwegian Meteorological Institute
Philip Stier
Philip Stier University of Oxford
Toshihiko Takemura
Toshihiko Takemura Kyushu University
Hailong Wang
Hailong Wang Pacific Northwest National Laboratory

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