Jim Gauderman

2.2k total citations · 1 hit paper
8 papers, 1.3k citations indexed

About

Jim Gauderman is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Speech and Hearing. According to data from OpenAlex, Jim Gauderman has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Health, Toxicology and Mutagenesis, 2 papers in Pollution and 2 papers in Speech and Hearing. Recurrent topics in Jim Gauderman's work include Air Quality and Health Impacts (5 papers), Climate Change and Health Impacts (3 papers) and Air Quality Monitoring and Forecasting (2 papers). Jim Gauderman is often cited by papers focused on Air Quality and Health Impacts (5 papers), Climate Change and Health Impacts (3 papers) and Air Quality Monitoring and Forecasting (2 papers). Jim Gauderman collaborates with scholars based in United States, Switzerland and Germany. Jim Gauderman's co-authors include Rob McConnell, Michael Jerrett, Kiros Berhane, Fred Lurmann, Ling Yao, Nino Künzli, Frank D. Gilliland, Ed Avol, Duncan C. Thomas and John M. Peters and has published in prestigious journals such as Bioinformatics, American Journal of Epidemiology and Environmental Health Perspectives.

In The Last Decade

Jim Gauderman

8 papers receiving 1.2k citations

Hit Papers

Childhood Incident Asthma and Traffic-Related Air Polluti... 2010 2026 2015 2020 2010 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jim Gauderman United States 7 848 428 247 201 153 8 1.3k
Sally Picciotto United States 21 1.5k 1.7× 175 0.4× 251 1.0× 139 0.7× 217 1.4× 63 2.1k
Ariana Zeka United Kingdom 20 1.6k 1.8× 182 0.4× 439 1.8× 102 0.5× 115 0.8× 34 2.2k
Daniela Porta Italy 21 855 1.0× 313 0.7× 177 0.7× 21 0.1× 136 0.9× 51 1.6k
Changyuan Yang China 23 1.1k 1.3× 168 0.4× 348 1.4× 28 0.1× 114 0.7× 44 1.5k
Marie‐France Valois Canada 26 1.6k 1.9× 210 0.5× 391 1.6× 20 0.1× 168 1.1× 66 2.0k
Roman Jandarov United States 20 612 0.7× 120 0.3× 327 1.3× 80 0.4× 231 1.5× 85 1.3k
Amanda J. Gassett United States 16 804 0.9× 126 0.3× 350 1.4× 38 0.2× 75 0.5× 36 1.3k
Thomas F. Bateson United States 21 1.3k 1.5× 232 0.5× 259 1.0× 766 3.8× 85 0.6× 43 2.5k
Chin-Sheng Tang Taiwan 14 843 1.0× 124 0.3× 213 0.9× 44 0.2× 60 0.4× 20 1.1k
Ubiratan de Paula Santos Brazil 22 866 1.0× 147 0.3× 207 0.8× 55 0.3× 199 1.3× 73 1.5k

Countries citing papers authored by Jim Gauderman

Since Specialization
Citations

This map shows the geographic impact of Jim Gauderman'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 Jim Gauderman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Gauderman more than expected).

Fields of papers citing papers by Jim Gauderman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jim Gauderman. 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 Jim Gauderman. The network helps show where Jim Gauderman may publish in the future.

Co-authorship network of co-authors of Jim Gauderman

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Gauderman. A scholar is included among the top collaborators of Jim Gauderman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jim Gauderman. Jim Gauderman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Schwartz, Joel, Jim Gauderman, Carlos Cardenas‐Iniguez, et al.. (2024). Associations between Fine Particulate Matter Components, Their Sources, and Cognitive Outcomes in Children Ages 9–10 Years Old from the United States. Environmental Health Perspectives. 132(10). 107009–107009. 4 indexed citations
2.
Laville, Vincent, Florian Privé, Xiaofeng Zhu, et al.. (2018). VarExp: estimating variance explained by genome-wide GxE summary statistics. Bioinformatics. 34(19). 3412–3414. 8 indexed citations
3.
McConnell, Rob, Talat Islam, Ketan Shankardass, et al.. (2010). Childhood Incident Asthma and Traffic-Related Air Pollution at Home and School. Environmental Health Perspectives. 118(7). 1021–1026. 467 indexed citations breakdown →
4.
Artinyan, Avo, Joseph W. Nunoo‐Mensah, Swarna Balasubramaniam, et al.. (2008). Prolonged Postoperative Ileus—Definition, Risk Factors, and Predictors after Surgery. World Journal of Surgery. 32(7). 1495–1500. 220 indexed citations
5.
Molitor, John, Michael Jerrett, Chih-Chieh Chang, et al.. (2007). Assessing Uncertainty in Spatial Exposure Models for Air Pollution Health Effects Assessment. Environmental Health Perspectives. 115(8). 1147–1153. 48 indexed citations
6.
McConnell, Rob, Kiros Berhane, Ling Yao, et al.. (2006). Traffic, Susceptibility, and Childhood Asthma. Environmental Health Perspectives. 114(5). 766–772. 496 indexed citations
7.
Molitor, John, Michael Jerrett, Rob McConnell, et al.. (2006). Bayesian Modeling of Air Pollution Health Effects with Missing Exposure Data. American Journal of Epidemiology. 164(1). 69–76. 31 indexed citations
8.
Lang, David J., Andrea Kovács, John A. Zaia, et al.. (1989). Seroepidemiologic studies of cytomegalovirus and Epstein-Barr virus infections in relation to human immunodeficiency virus type 1 infection in selected recipient populations. Transfusion Safety Study Group.. PubMed. 2(6). 540–9. 24 indexed citations

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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