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

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Childhood Incident Asthma and Traffic-Related Air Pollution at Home and School

2010 467 citations Rob McConnell, Talat Islam et al. Environmental Health Perspectives profile →

Peers

Jim Gauderman

HTM

SH

EE

SURGE

PHYSI

Sally Picciotto United States

Ariana Zeka United Kingdom

Daniela Porta Italy

Changyuan Yang China

Marie‐France Valois Canada

Roman Jandarov United States

Amanda J. Gassett United States

Thomas F. Bateson United States

Chin-Sheng Tang Taiwan

Ubiratan de Paula Santos Brazil

Sally Picciotto United States

Jim Gauderman

1.5k ×1.7

HTM

175 ×0.4

SH

251 ×1.0

EE

139 ×0.7

SURGE

217 ×1.4

PHYSI

Citations per year, relative to Jim Gauderman Jim Gauderman (= 1×) peers Sally Picciotto

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

Sort: Min cites: Since: Top N: Style:

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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