W. James Gauderman

734 citations
10 papers · 574 indexed · 1 hit paper · h-index 6
Topics
Genetic Associations and Epidemiology (6 papers)Genetic Mapping and Diversity in Plants and Animals (4 papers)Genomics and Rare Diseases (2 papers)
Partner nations
United States

In The Last Decade

W. James Gauderman

10 papers receiving 567 citations

Hit Papers

QUANTO 1.1: A computer program for power and sample size ...20062026201220192006100200300400

Peers

W. James Gauderman
Comparison fields: 5 of 93
  • Genetics 207
  • Molecular Biology 174
  • Physiology 73
  • Epidemiology 64
  • Surgery 52
Replace Joanne M. Lind with:
Joanne M. Lind Australia
Jean‐Pierre Lagarde France
Irina V. Zorkoltseva Russia
Lauren Broestl United States
Futoshi Yoshida Japan
Maria A. Stazi Italy
Grażyna Kostrzewa Poland
Christine L. Chiu Australia
Teng Zhao China
Yolanda E. Bogaert United States
W. James Gauderman relative to Joanne M. Lind Australia Joanne M. Lind's profile →
Citations per field
00.5×1.5×
Joanne M. Lind · 1×
Citations per year

Countries citing papers authored by W. James Gauderman

Since Specialization
Citations

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

Fields of papers citing papers by W. James Gauderman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. James Gauderman

This figure shows the co-authorship network connecting the top 25 collaborators of W. James Gauderman. A scholar is included among the top collaborators of W. James 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 W. James Gauderman. W. James Gauderman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 15
2 1
3
QUANTO 1.1: A computer program for power and sample size calculations for genetic-epidemiology studiesbreakdown →
494
4 34
5 4
6 5
7 3
8 6
9 5
10 7

About W. James Gauderman

W. James Gauderman is a scholar working on Genetics, Biochemistry and Health, Toxicology and Mutagenesis, having authored 10 papers that have together received 574 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Genetics (207 citations), Endocrine and Autonomic Systems (32 citations) and Biological Psychiatry (9 citations). W. James Gauderman has collaborated with scholars based in United States. Frequent co-authors include Kimberly D. Siegmund, John L. Morrison, K.J. Craig, Sean Raffuse, Scott Fruin, Hita Vora, Frederick Lurmann, M. McCarthy, Esther M. John and Patricia S. Wakenell. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Immunogenetics and Genetic 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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