D. Wayne Berman

841 citations
20 papers · 606 · h-index 10

Impact in

Papers in

D. Wayne Berman

20 papers receiving 540 citations

Peers

D. Wayne Berman
Comparison fields: 5 of 75
  • Pulmonary and Respiratory Medicine 507
  • Health, Toxicology and Mutagenesis 229
  • Public Health, Environmental and Occupational Health 213
  • Radiological and Ultrasound Technology 28
  • Cancer Research 42
Replace Alexander Teass with:
Alexander Teass United States
Ramzan Lakhani Canada
Lawrence C. Mohr United States
Brad Black United States
R. Althouse United States
Hans‐Joachim Woitowitz Germany
Dan Middleton United States
Antonio Escolar Spain
Frank Schaumann Germany
Furio Cavallieri Italy
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Citations per field
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Alexander Teass · 1×
Citations per year

Countries citing papers authored by D. Wayne Berman

Since Specialization
Citations

This map shows the geographic impact of D. Wayne Berman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by D. Wayne Berman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Wayne Berman more than expected).

Fields of papers citing papers by D. Wayne Berman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Wayne Berman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by D. Wayne Berman. The network helps show where D. Wayne Berman may publish in the future.

Co-authors

The 18 scholars most cited alongside D. Wayne Berman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Wayne Berman Line = papers co-authored together D. Wayne Berman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2008203
2 2008126
3 1995107
4 198127
5 201023
6 200818
7 199515
8 201114
9 201613
10 201311
11 20119
12 20117
13 20157
14 20125
15 20115
16 20125
17 20134
18 20124
19 20102
20 20111

About D. Wayne Berman

D. Wayne Berman is a scholar working on Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health, Economics and Econometrics and Statistics and Probability, having authored 20 papers that have together received 606 indexed citations. Recurring topics across this work include Occupational and environmental lung diseases (15 papers), Air Quality and Health Impacts (10 papers), Occupational exposure and asthma (9 papers), Statistical Methods and Bayesian Inference (2 papers), Indoor Air Quality and Microbial Exposure (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Spatial and Panel Data Analysis (2 papers) and Mass Spectrometry Techniques and Applications (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (507 citations), Health, Toxicology and Mutagenesis (229 citations), Public Health, Environmental and Occupational Health (213 citations), Radiological and Ultrasound Technology (28 citations) and Cancer Research (42 citations). D. Wayne Berman has collaborated with scholars based in United States, Hong Kong and Japan. Frequent co-authors include Kenny S. Crump, Alan Jones, J. Michael Davis, J. L. Beauchamp, Gregory P. Brorby, Stewart E. Holm, Patrick J. Sheehan, David S. Bomse, Kenneth T. Bogen and Louis Anthony Cox. Their work appears in journals such as Critical Reviews in Toxicology, Risk Analysis, American Journal of Industrial Medicine, Journal of the American Chemical Society and Journal of Exposure Science & Environmental Epidemiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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