World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
49
Citations
12969
World Ranking
5148
National Ranking
1891

Ming-Yi Tsai 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-Yi Tsai 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: 96 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Ming-Yi Tsai 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-Yi Tsai 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: 49 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Overview

Ming-Yi Tsai is affiliated with the University of Washington in the United States and works primarily in the field of Environmental Science. Their research covers a range of interconnected subfields, including Health, Toxicology and Mutagenesis, Speech and Hearing, Developmental and Educational Psychology, Sociology and Political Science, and Pollution.

The scientist's work has a particular focus on topics such as:

  • Air Quality and Health Impacts
  • Climate Change and Health Impacts
  • Noise Effects and Management
  • Hearing Impairment and Communication
  • Environmental Justice and Health Disparities
  • Energy and Environment Impacts
  • Emergency and Acute Care Studies

Ming-Yi Tsai has contributed to several recent publications, demonstrating a focus on exposure to air pollution and its health effects as well as community health communication topics. Some of their recent papers include:

  • Short-term personal and outdoor exposure to ultrafine and fine particulate air pollution in association with blood pressure and lung function in healthy adults (2020), Environmental Research
  • Associations between modeled residential outdoor and measured personal exposure to ultrafine particles in four European study areas (2020), Atmospheric Environment
  • Exposure to ambient air pollution and elevated blood levels of gamma-glutamyl transferase in a large Austrian cohort (2023), The Science of The Total Environment
  • Corrigendum to 'Exposure to ambient air pollution and elevated blood levels of gamma-glutamyl transferase in a large Austrian cohort' [Sci. Total Environ.883 (2023) 163658] (2023), The Science of The Total Environment
  • Deaf, deaf-blind, and hard of hearing needs and perceptions of community pharmacy services (2024), Canadian Pharmacists Journal / Revue des Pharmaciens du Canada

Their frequent coauthors include Gerard Hoek, Bert Brunekreef, Erik van Nunen, Nicole Probst-Hensch, and Medea Imboden. Collaboration with these colleagues has resulted in multiple joint publications.

The scientist publishes regularly in venues including:

  • The Science of The Total Environment
  • Canadian Pharmacists Journal / Revue des Pharmaciens du Canada
  • Environmental Research
  • Atmospheric Environment
  • Research in Social and Administrative Pharmacy

Best Publications

  • Air pollution and lung cancer incidence in 17 European cohorts : Prospective analyses from the European Study of Cohorts for Air Pollution Effects (ESCAPE)

    Ole Raaschou-Nielsen;Zorana Jovanovic Andersen;Rob Beelen;Evangelia Samoli

  • Effects of long-term exposure to air pollution on natural-cause mortality : An analysis of 22 European cohorts within the multicentre ESCAPE project

    Rob Beelen;Ole Raaschou-Nielsen;Massimo Stafoggia;Zorana Jovanovic Andersen

  • Development of Land Use Regression Models for PM2.5, PM2.5 Absorbance, PM10 and PMcoarse in 20 European Study Areas; Results of the ESCAPE Project

    Marloes Eeftens;Rob Beelen;Kees de Hoogh;Tom Bellander

  • Development of NO2 and NOx land use regression models for estimating air pollution exposure in 36 study areas in Europe - The ESCAPE project

    Rob Beelen;Gerard Hoek;Danielle Vienneau;Marloes Eeftens

  • Spatial variation of PM2.5, PM10, PM2.5 absorbance and PMcoarse concentrations between and within 20 European study areas and the relationship with NO2 : results of the ESCAPE project

    Marloes Eeftens;Ming-Yi Tsai;Ming-Yi Tsai;Ming-Yi Tsai;Christophe Ampe;Bernhard Anwander

  • Adult lung function and long-term air pollution exposure. ESCAPE: a multicentre cohort study and meta-analysis

    Martin Adam;Martin Adam;Tamara Schikowski;Anne Elie Carsin;Yutong Cai

  • Variation of NO2 and NOx concentrations between and within 36 European study areas: Results from the ESCAPE study

    Josef Cyrys;Marloes Eeftens;Joachim Heinrich;Christophe Ampe

  • Long-term exposure to air pollution and cardiovascular mortality: an analysis of 22 European cohorts.

    Rob Beelen;Massimo Stafoggia;Ole Raaschou-Nielsen;Zorana Jovanovic Andersen

  • Ambient air pollution and adult asthma incidence in six European cohorts (ESCAPE).

    Bénédicte Jacquemin;Valérie Siroux;Margaux Sanchez;Anne Elie Carsin

  • Long-term air pollution exposure and diabetes in a population-based Swiss cohort.

    Ikenna C. Eze;Emmanuel Schaffner;Evelyn Fischer;Tamara Schikowski

  • Development of land use regression models for particle composition in twenty study areas in Europe

    Kees de Hoogh;Meng Wang;Martin Adam;Martin Adam;Chiara Badaloni

  • Association of ambient air pollution with the prevalence and incidence of COPD

    Tamara Schikowski;Martin Adam;Alessandro Marcon;Yutong Cai

  • Development of West-European PM2.5 and NO2 land use regression models incorporating satellite-derived and chemical transport modelling data

    Kees de Hoogh;John Gulliver;Aaron van Donkelaar;Randall V. Martin

  • Natural-cause mortality and long-term exposure to particle components: an analysis of 19 European cohorts within the multi-center ESCAPE project.

    Rob Beelen;Gerard Hoek;Ole Raaschou-Nielsen;Massimo Stafoggia

  • Comparing land use regression and dispersion modelling to assess residential exposure to ambient air pollution for epidemiological studies

    Kees de Hoogh;Kees de Hoogh;Kees de Hoogh;Michal Korek;Danielle Vienneau;Menno Keuken

  • Long-term exposure to elemental constituents of particulate matter and cardiovascular mortality in 19 European cohorts : Results from the ESCAPE and TRANSPHORM projects

    Meng Wang;Rob Beelen;Massimo Stafoggia;Ole Raaschou-Nielsen

  • Arterial Blood Pressure and Long-Term Exposure to Traffic-Related Air Pollution : An Analysis in the European Study of Cohorts for Air Pollution Effects (ESCAPE)

    Kataryna B. Fuks;Gudrun Weinmayr;Maria Foraster;Julia Dratva

  • Long-Term Exposure to Ambient Air Pollution and Incidence of Postmenopausal Breast Cancer in 15 European Cohorts within the ESCAPE Project.

    Zorana Jovanovic Andersen;Massimo Stafoggia;Gudrun Weinmayr;Marie Pedersen

  • Evaluation of land use regression models for NO2 and particulate matter in 20 European study areas: the ESCAPE project.

    Meng Wang;Rob Beelen;Xavier Basagana;Thomas Becker

  • Development of land use regression models for nitrogen dioxide, ultrafine particles, lung deposited surface area, and four other markers of particulate matter pollution in the Swiss SAPALDIA regions

    Marloes Eeftens;Marloes Eeftens;Reto Meier;Reto Meier;Christian Schindler;Christian Schindler;Inmaculada Aguilera;Inmaculada Aguilera

  • Spatial variation of PM2.5, PM10, PM2.5 absorbance and PMcoarse concentrations between and within 20 European study areas and the relationship with NO2 - Results of the ESCAPE project

    Marloes Eeftens;Ming-Yi Tsai;Christophe Ampe;Bernhard Anwander

  • Comparing land use regression and dispersion modelling to assess residential exposure to ambient air pollution for epidemiological studies

    Kees de Hoogh;Michal Korek;Danielle Vienneau;Menno Keuken

Frequent Co-Authors

Nicole Probst-Hensch
Nicole Probst-Hensch Swiss Tropical and Public Health Institute
Marloes Eeftens
Marloes Eeftens Swiss Tropical and Public Health Institute
Kees de Hoogh
Kees de Hoogh Swiss Tropical and Public Health Institute
Nino Künzli
Nino Künzli University of Basel
Bert Brunekreef
Bert Brunekreef Utrecht University
Gerard Hoek
Gerard Hoek Utrecht University
Christian Schindler
Christian Schindler Columbia University
Rob Beelen
Rob Beelen Utrecht University
Mark J. Nieuwenhuijsen
Mark J. Nieuwenhuijsen Barcelona Institute for Global Health
Harish C. Phuleria
Harish C. Phuleria Indian Institute of Technology Bombay

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