World's Best Scientists 2026 revealed!
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Environmental Sciences
Canada
2023

D-Index & Metrics

Environmental Sciences

D-Index
74
Citations
19061
World Ranking
1348
National Ranking
45

Leiming Zhang 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 Leiming Zhang 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: 282 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: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 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 681–689 publications: 4 scientists 690+ publications: 100 scientists
41 publications 690+

This scientist: 278 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

Leiming Zhang 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 Leiming Zhang 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: 198 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: 20 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: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 74 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

Research.com Recognitions

  • 2023 - Research.com Environmental Sciences in Canada Leader Award

Overview

Leiming Zhang is affiliated with Environment and Climate Change Canada in Canada, focusing primarily on Environmental Science. Their research spans multiple subfields within this domain, including Health, Toxicology and Mutagenesis, Atmospheric Science, Global and Planetary Change, Molecular Biology, and Pollution.

The main topics of Leiming Zhang's research include:

  • Air Quality and Health Impacts
  • Atmospheric chemistry and aerosols
  • Mercury impact and mitigation studies
  • Toxic Organic Pollutants Impact
  • Plant Water Relations and Carbon Dynamics
  • Heavy metals in environment
  • Heavy Metal Exposure and Toxicity

Their work has been published frequently in venues such as:

  • China Scientific Data
  • Atmospheric chemistry and physics
  • The Science of The Total Environment
  • Environmental Science & Technology
  • Journal of Geophysical Research Atmospheres

Among their recent scientific papers are:

  • The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data, 2020, Scientific Data
  • Investigation of Primary and Secondary Particulate Brown Carbon in Two Chinese Cities of Xi'an and Hong Kong in Wintertime, 2020, Environmental Science & Technology
  • Neuroprotective effects of Danshensu on rotenone-induced Parkinson's disease models in vitro and in vivo, 2020, BMC Complementary Medicine and Therapies
  • Severe Acute Lung Injury Related to COVID-19 Infection: A Review and the Possible Role for Escin, 2020, The Journal of Clinical Pharmacology
  • Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data, 2021, Scientific Data

Leiming Zhang collaborates regularly with several researchers, including:

  • Xinbin Feng
  • Zhenxing Shen
  • Hongmei Xu
  • Junji Cao
  • Jun Tao

Best Publications

  • A size-segregated particle dry deposition scheme for an atmospheric aerosol module

    Leiming Zhang;Sunling Gong;Jacob Padro;Len Barrie

  • A revised parameterization for gaseous dry deposition in air-quality models

    L. Zhang;J. R. Brook;R. Vet

  • Characterization and Source Apportionment of PM2.5 in an Urban Environment in Beijing

    Lingda Yu;Lingda Yu;Guangfu Wang;Renjian Zhang;Leiming Zhang;Leiming Zhang

  • A review of current knowledge concerning PM 2. 5 chemical composition, aerosol optical properties and their relationships across China

    Jun Tao;Leiming Zhang;Junji Cao;Renjian Zhang

  • PM 2.5 pollution in a megacity of southwest China: source apportionment and implication

    J. Tao;J. Gao;L. Zhang;R. Zhang

  • Canadian Aerosol Module: A size-segregated simulation of atmospheric aerosol processes for climate and air quality models 1. Module development

    S. L. Gong;L. A. Barrie;J.-P. Blanchet;K. von Salzen

  • Dry deposition of reactive nitrogen to European ecosystems: a comparison of inferential models across the NitroEurope network

    C. R. Flechard;E. Nemitz;R. I. Smith;D. Fowler

  • Chemical composition of PM2.5 in an urban environment in Chengdu, China:Importance of springtime dust storms and biomass burning

    Jun Tao;Leiming Zhang;Guenter Engling;Renjian Zhang

  • A review of current knowledge concerning dry deposition of atmospheric mercury

    Leiming Zhang;L. Paige Wright;Pierrette Blanchard

  • Modelling gaseous dry deposition in AURAMS: a unified regional air-quality modelling system

    Leiming Zhang;Michael D. Moran;Paul A. Makar;Jeffrey R. Brook

  • Source apportionment of PM2.5 at urban and suburban areas of the Pearl River Delta region, south China - With emphasis on ship emissions.

    Jun Tao;Jun Tao;Leiming Zhang;Junji Cao;Liuju Zhong

  • Seasonal characteristics, formation mechanisms and source origins of PM 2.5 in two megacities in Sichuan Basin, China

    Huanbo Wang;Huanbo Wang;Mi Tian;Yang Chen;Guangming Shi

  • Impact of PM2.5 chemical compositions on aerosol light scattering in Guangzhou — the largest megacity in South China

    Jun Tao;Jun Tao;Leiming Zhang;Leiming Zhang;Kinfai Ho;Renjian Zhang

  • The use of wind fields in a land use regression model to predict air pollution concentrations for health exposure studies

    M.A. Arain;R. Blair;N. Finkelstein;J.R. Brook

  • Chemical characterization and source apportionment of PM 2.5 in a semi-arid and petrochemical-industrialized city, Northwest China

    Yanan Wang;Chenhui Jia;Jun Tao;Leiming Zhang

  • Development and validation of a size-resolved particle dry deposition scheme for application in aerosol transport models

    A. Petroff;A. Petroff;L. Zhang

  • Chemical characteristics and source apportionment of PM2.5 in Lanzhou, China

    Jihua Tan;Leiming Zhang;Xueming Zhou;Jingchun Duan

  • An updated review of atmospheric mercury

    Seth N. Lyman;Irene Cheng;Lynne E. Gratz;Peter Weiss-Penzias

  • Uncertainty assessment of current size-resolved parameterizations for below-cloud particle scavenging by rain

    X. Wang;L. Zhang;M. D. Moran

  • Impacts and Effects Indicators of Atmospheric Deposition of Major Pollutants to Various Ecosystems - A Review

    L. Paige Wright;Leiming Zhang;Irene Cheng;Julian Aherne

  • On ozone dry deposition-with emphasis on non-stomatal uptake and wet canopies

    Leiming Zhang;Jeffrey R Brook;Robert Vet

  • Concentration-weighted trajectory approach to identifying potential sources of speciated atmospheric mercury at an urban coastal site in Nova Scotia, Canada

    I. Cheng;L. Zhang;P. Blanchard;J. Dalziel

Frequent Co-Authors

Zhenxing Shen
Zhenxing Shen Xi'an Jiaotong University
Xinbin Feng
Xinbin Feng Chinese Academy of Sciences
Junji Cao
Junji Cao Chinese Academy of Sciences
Jun Tao
Jun Tao Jinan University
Renjian Zhang
Renjian Zhang Chinese Academy of Sciences
Fumo Yang
Fumo Yang Sichuan University
Jianmin Ma
Jianmin Ma Peking University
Xiaohong Yao
Xiaohong Yao Ocean University of China
Ru-Jin Huang
Ru-Jin Huang Chinese Academy of Sciences
Suixin Liu
Suixin Liu Chinese Academy of Sciences

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