Jim Vaught

41 papers receiving 1.4k citations

Peers

Jim Vaught
Comparison fields: 5 of 121
  • Public Health, Environmental and Occupational Health 624
  • Cancer Research 297
  • Physiology 320
  • Health Informatics 18
  • Statistics and Probability 74
Replace Yaffa Rubinstein with:
Yaffa Rubinstein United States
W. David Dotson United States
Helen M. Moore United States
Nikolajs Zeps Australia
Sheri D. Schully United States
Stella Somiari United States
Elisabeth Dequeker Belgium
Helen Moore United States
Ron Zimmern United Kingdom
Michael F. Murray United States
Jim Vaught relative to Yaffa Rubinstein United States Yaffa Rubinstein's profile →
Citations per field
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Yaffa Rubinstein · 1×
Citations per year

Countries citing papers authored by Jim Vaught

Since Specialization
Citations

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

Fields of papers citing papers by Jim Vaught

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jim Vaught, 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 Jim Vaught Line = papers co-authored together Jim Vaught links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011266
2 2011144
3 2011140
4 2015121
5 201192
6 201287
7 200983
8 201074
9 201548
10 201146
11 201744
12 201437
13 201531
14 201926
15 200726
16 200623
17 201421
18 202017
19 200516
20 201714

About Jim Vaught

Jim Vaught is a scholar working on Public Health, Environmental and Occupational Health, Physiology, Molecular Biology, Cancer Research and Reproductive Medicine, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ethics in Clinical Research (21 papers), Biomedical Ethics and Regulation (10 papers), Cancer Genomics and Diagnostics (9 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Molecular Biology Techniques and Applications (6 papers), Reproductive Health and Technologies (6 papers), Statistical Methods in Clinical Trials (3 papers) and Biosimilars and Bioanalytical Methods (3 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (624 citations), Cancer Research (297 citations), Physiology (320 citations), Health Informatics (18 citations) and Statistics and Probability (74 citations). Jim Vaught has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Christina Ellervik, Nicole C. Lockhart, Carolyn C. Compton, John Rogers, Helen M. Moore, Robert E. Hewitt, Peter H. Watson, Andrea Kelly, Pierre Hainaut and Yaffa Rubinstein. Their work appears in journals such as Biopreservation and Biobanking, JNCI Monographs, Archives of Pathology & Laboratory Medicine, Cancer Epidemiology Biomarkers & Prevention and Clinical Chemistry.

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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