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Ming-Yi Tsai

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 49 5150 4933 1891 1748 96 12969

Ming-Yi Tsai publications per year

The chart shows the history of publications by Ming-Yi Tsai between 2001 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ming-Yi Tsai published across 25 years, from 2001 to 2025, averaging 4 papers a year. Output peaked at 21 publications in 2015. 3 of the 100 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2001 to 2025. Vertical axis: number of publications, 0 to 21. Peak 21 publications in 2015. 2001: 1 publication 2002: 0 publications 2003: 1 publication 2004: 1 publication 2005: 1 publication 2006: 1 publication 2007: 0 publications 2008: 0 publications 2009: 0 publications 2010: 0 publications 2011: 3 publications 2012: 6 publications 2013: 15 publications 2014: 18 publications 2015: 21 publications 2016: 7 publications 2017: 6 publications 2018: 7 publications 2019: 4 publications 2020: 1 publication 2021: 2 publications 2022: 0 publications 2023: 2 publications 2024: 1 publication 2025: 2 publications
2001 2025

100 publications in total across all disciplines

View publications per year as a table
Ming-Yi Tsai: publications per year, 2001 to 2025
Year Publications
2001 1
2002 0
2003 1
2004 1
2005 1
2006 1
2007 0
2008 0
2009 0
2010 0
2011 3
2012 6
2013 15
2014 18
2015 21
2016 7
2017 6
2018 7
2019 4
2020 1
2021 2
2022 0
2023 2
2024 1
2025 2
Total 100
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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.

No. of scientists
200 400 600
Bar chart with 66 bars. Horizontal axis: publications, 41–50 to 690+. Vertical axis: number of scientists, 0 to 617. Most scientists, 617, have 121–130 publications. The last bar groups every scientist with 690 publications or more. The highlighted bar, 91–100 publications, is where this scientist sits. 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
41–50 publications 690+

This scientist: 96 publications — 11th percentile

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

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

View publications distribution as a table
Number of Environmental Sciences scientists by publication count, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
Publications Scientists This scientist
41–50 21
51–60 62
61–70 133
71–80 257
81–90 361
91–100 440 96
101–110 492
111–120 541
121–130 617
131–140 544
141–150 541
151–160 539
161–170 444
171–180 444
181–190 400
191–200 377
201–210 318
211–220 282
221–230 263
231–240 220
241–250 217
251–260 180
261–270 181
271–280 155
281–290 130
291–300 127
301–310 130
311–320 85
321–330 106
331–340 80
341–350 83
351–360 75
361–370 69
371–380 52
381–390 54
391–400 56
401–410 44
411–420 40
421–430 36
431–440 25
441–450 25
451–460 32
461–470 29
471–480 21
481–490 26
491–500 26
501–510 17
511–520 19
521–530 15
531–540 22
541–550 12
551–560 15
561–570 11
571–580 19
581–590 9
591–600 9
601–610 7
611–620 11
621–630 5
631–640 5
641–650 6
651–660 3
661–670 3
671–680 4
681–689 4
690+ 100
Download as CSV

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.

No. of scientists
100 200 300
Bar chart with 97 bars. Horizontal axis: D-Index, 30 to 126+. Vertical axis: number of scientists, 0 to 348. Most scientists, 348, have 45 D-Index. The last bar groups every scientist with 126 D-Index or more. The highlighted bar, 49 D-Index, is where this scientist sits. 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: 49 D-Index — 47th percentile

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

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

View D-Index distribution as a table
Number of Environmental Sciences scientists by D-index, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
D-Index Scientists This scientist
30 12
31 26
32 51
33 88
34 123
35 163
36 206
37 267
38 265
39 275
40 321
41 343
42 305
43 336
44 330
45 348
46 291
47 275
48 272
49 273 49
50 263
51 232
52 266
53 217
54 198
55 177
56 202
57 204
58 166
59 177
60 166
61 152
62 143
63 150
64 124
65 119
66 120
67 118
68 82
69 98
70 94
71 105
72 74
73 84
74 70
75 67
76 78
77 60
78 59
79 52
80 47
81 38
82 48
83 42
84 42
85 43
86 29
87 37
88 29
89 30
90 34
91 20
92 22
93 17
94 19
95 24
96 21
97 20
98 24
99 17
100 17
101 21
102 25
103 18
104 26
105 20
106 15
107 10
108 13
109 15
110 12
111 8
112 7
113 9
114 6
115 12
116 7
117 8
118 3
119 5
120 7
121 2
122 4
123 8
124 7
125 9
126+ 92
Download as CSV

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

External Links

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Best Scientists Citing Ming-Yi Tsai

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Publications: 141

Bert Brunekreef

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Publications: 124

Gerard Hoek

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Utrecht University

Publications: 122

Mark J. Nieuwenhuijsen

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Barcelona Institute for Global Health

Publications: 111

Nino Künzli

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Publications: 71

Randall V. Martin

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Washington University in St. Louis

Publications: 64

Barbara Hoffmann

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Heinrich Heine University Düsseldorf

Publications: 63

Danielle Vienneau

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Swiss Tropical and Public Health Institute

Publications: 53

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Publications: 53

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Publications: 52

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