World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
75
Citations
20942
World Ranking
1273
National Ranking
18

Tom Bellander 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 Tom Bellander 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: 266 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Tom Bellander 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 Tom Bellander 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: 75 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.

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Statistics
  • Cancer

His scientific interests lie mostly in Environmental health, Cohort study, Environmental exposure, Spatial variability and Pediatrics. The various areas that Tom Bellander examines in his Environmental health study include Birth cohort, Asthma, Allergy and Confidence interval. His Cohort study study integrates concerns from other disciplines, such as Heart failure, Relative risk, Emergency medicine, Myocardial infarction and Cohort.

His Environmental exposure research incorporates themes from Cause of death and Age distribution. His Spatial variability study combines topics in areas such as Urban background, Regression analysis, Meteorology and Cross-validation. His Pediatrics research includes themes of Odds ratio, Lung function and Confounding.

His most cited work include:

  • Air pollution from traffic and the development of respiratory infections and asthmatic and allergic symptoms in children (542 citations)
  • 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 (519 citations)
  • Development of NO2 and NOx land use regression models for estimating air pollution exposure in 36 study areas in Europe - The ESCAPE project (487 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Environmental health, Epidemiology, Internal medicine, Cohort study and Myocardial infarction. His specific area of interest is Environmental health, where he studies Environmental exposure. Tom Bellander combines subjects such as Surgery and Poisson regression with his study of Epidemiology.

His biological study deals with issues like Cohort, which deal with fields such as Lung cancer and Cancer. His Myocardial infarction research incorporates elements of Inflammation and Emergency medicine. The Odds ratio study combines topics in areas such as Pediatrics and Confidence interval.

He most often published in these fields:

  • Environmental health (38.34%)
  • Epidemiology (13.44%)
  • Internal medicine (13.44%)

What were the highlights of his more recent work (between 2015-2021)?

  • Environmental health (38.34%)
  • Ultrafine particle (4.35%)
  • Epidemiology (13.44%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Environmental health, Ultrafine particle, Epidemiology, Environmental exposure and Air temperature. His research in Environmental health intersects with topics in Lung function, Incidence, Particulate air pollution and Confidence interval. His studies in Confidence interval integrate themes in fields like Population density, Metropolitan area and Myocardial infarction.

His research investigates the connection with Epidemiology and areas like Pediatrics which intersect with concerns in Prospective cohort study and Spirometry. His Environmental exposure study combines topics from a wide range of disciplines, such as Atmospheric dispersion modeling, Meteorology and Mixed model. Cohort study is closely connected to Cohort in his research, which is encompassed under the umbrella topic of Body mass index.

Between 2015 and 2021, his most popular works were:

  • Epigenome-Wide Meta-Analysis of Methylation in Children Related to Prenatal NO2 Air Pollution Exposure (115 citations)
  • Estimation of daily PM10 and PM2.5 concentrations in Italy, 2013-2015, using a spatiotemporal land-use random-forest model. (83 citations)
  • Genome-wide interaction analysis of air pollution exposure and childhood asthma with functional follow-up (65 citations)

In his most recent research, the most cited papers focused on:

  • Internal medicine
  • Cancer
  • Statistics

Tom Bellander mainly focuses on Environmental health, Atmospheric dispersion modeling, Meteorology, Particulate air pollution and Environmental exposure. Environmental health and Ultrafine particle are two areas of study in which Tom Bellander engages in interdisciplinary research. Tom Bellander has researched Atmospheric dispersion modeling in several fields, including Epidemiology, Spirometry and Pediatrics.

His Meteorology study incorporates themes from Regression analysis, Linear regression, Air pollutant concentrations and Criteria air contaminants. His work investigates the relationship between Particulate air pollution and topics such as Air pollutants that intersect with problems in Stroke. The study incorporates disciplines such as Environmental monitoring, Prospective cohort study and Mixed model in addition to Environmental exposure.

Best Publications

  • 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

  • Air pollution from traffic and the development of respiratory infections and asthmatic and allergic symptoms in children

    Michael Brauer;Gerard Hoek;Patricia Van Vliet;Kees Meliefste

  • Estimating long-term average particulate air pollution concentrations: application of traffic indicators and geographic information systems.

    Michael Brauer;Gerard Hoek;Patricia van Vliet;Kees Meliefste

  • Urban Air Pollution and Lung Cancer in Stockholm

    Fredrik Nyberg;Per Gustavsson;Lars Järup;Tom Bellander

  • Mortality related to air pollution with the moscow heat wave and wildfire of 2010.

    Dmitry Shaposhnikov;Boris Revich;Tom Bellander;Getahun Bero Bedada

  • 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

  • Long-term exposure to low ambient air pollution concentrations and mortality among 28 million people: results from seven large European cohorts within the ELAPSE project.

    Unknown

  • Traffic-related air pollution and respiratory health during the first 2 yrs of life

    U. Gehring;J. Cyrys;G. Sedlmeir;B. Brunekreef

  • 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

  • Air pollution and inflammation (interleukin-6, C-reactive protein, fibrinogen) in myocardial infarction survivors.

    Regina Rückerl;Sonja Greven;Petter Ljungman;Pasi Aalto

  • Estimation of daily PM10 and PM2.5 concentrations in Italy, 2013-2015, using a spatiotemporal land-use random-forest model.

    Massimo Stafoggia;Tom Bellander;Simone Bucci;Marina Davoli

  • Traffic-related air pollution and childhood respiratory symptoms, function and allergies.

    Emma Nordling;Niklas Berglind;Erik Melén;Gunnel Emenius

  • Ambient Air Pollution Is Associated With Increased Risk of Hospital Cardiac Readmissions of Myocardial Infarction Survivors in Five European Cities

    Stephanie von Klot;Annette Peters;Pasi Aalto;Tom Bellander

  • Spatial PM2.5, NO2, O3 and BC models for Western Europe - Evaluation of spatiotemporal stability.

    Kees de Hoogh;Kees de Hoogh;Jie Chen;John Gulliver;Barbara Hoffmann

  • Using geographic information systems to assess individual historical exposure to air pollution from traffic and house heating in Stockholm.

    Tom Bellander;Niklas Berglind;Per Gustavsson;Tage Jonson

  • A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide.

    Jie Chen;Kees de Hoogh;Kees de Hoogh;John Gulliver;Barbara Hoffmann

  • Comparison between different traffic-related particle indicators: elemental carbon (EC), PM2.5 mass, and absorbance.

    Josef Cyrys;Joachim Heinrich;Gerard Hoek;Kees Meliefste

  • Long term exposure to low level air pollution and mortality in eight European cohorts within the ELAPSE project: pooled analysis.

    Maciej Strak;Gudrun Weinmayr;Sophia Rodopoulou;Jie Chen

  • Prevalence of self-reported hypersensitivity to electric or magnetic fields in a population-based questionnaire survey.

    Lena Hillert;Niklas Berglind;Bengt B Arnetz;Tom Bellander

  • A Case-Crossover Analysis of Out-of-Hospital Coronary Deaths and Air Pollution in Rome, Italy

    Francesco Forastiere;Massimo Stafoggia;Sally Picciotto;Tom Bellander

  • 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

Frequent Co-Authors

Göran Pershagen
Göran Pershagen Karolinska Institute
Bert Brunekreef
Bert Brunekreef Utrecht University
Annette Peters
Annette Peters Ludwig-Maximilians-Universität München
Gerard Hoek
Gerard Hoek Utrecht University
Klea Katsouyanni
Klea Katsouyanni National and Kapodistrian University of Athens
Josef Cyrys
Josef Cyrys Helmholtz Zentrum München
Timo Lanki
Timo Lanki Finnish Institute for Health and Welfare (THL)
Erik Melén
Erik Melén Karolinska Institute
Kees de Hoogh
Kees de Hoogh Swiss Tropical and Public Health Institute
Francesco Forastiere
Francesco Forastiere Imperial College London

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