John J. Whyte

716 citations
15 papers · 543 · h-index 8

Impact in

Papers in

John J. Whyte

14 papers receiving 475 citations

Peers

John J. Whyte
Comparison fields: 5 of 76
  • Cardiology and Cardiovascular Medicine 278
  • Health Information Management 65
  • Geriatrics and Gerontology 21
  • Family Practice 8
  • Pharmacy 12
Replace Quentin R. Youmans with:
Quentin R. Youmans United States
David Michael Walker United Kingdom
Keane K. Lee United States
Mark E. Patterson United States
Eric M. Schone United States
Mark G. Weiner United States
Núria Soriano Spain
David J. Heller United States
Cornelia Ursula Kunz Germany
Stephanie Garies Canada
John J. Whyte relative to Quentin R. Youmans United States Quentin R. Youmans's profile →
Citations per field
00.5×5×10×15.5×
Quentin R. Youmans · 1×
Citations per year

Countries citing papers authored by John J. Whyte

Since Specialization
Citations

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

Fields of papers citing papers by John J. Whyte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Whyte. 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 John J. Whyte. The network helps show where John J. Whyte may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2005313
2 200690
3 202137
4 200234
5 201518
6 201715
7 199813
8 20198
9 20073
10 20163
11 20213
12 19992
13 20102
14 19931
15 20201

About John J. Whyte

John J. Whyte is a scholar working on Health Information Management, Public Health, Environmental and Occupational Health, General Health Professions, Statistics and Probability and Applied Microbiology and Biotechnology, having authored 15 papers that have together received 543 indexed citations. Recurring topics across this work include Ethics in Clinical Research (3 papers), Sex and Gender in Healthcare (2 papers), Acute Myocardial Infarction Research (2 papers), Statistical Methods in Clinical Trials (2 papers), Obesity and Health Practices (1 paper), Electronic Health Records Systems (1 paper), Orthopaedic implants and arthroplasty (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (278 citations), Health Information Management (65 citations), Geriatrics and Gerontology (21 citations), Family Practice (8 citations) and Pharmacy (12 citations). John J. Whyte has collaborated with scholars based in United States. Frequent co-authors include James L. Ritchie, Neil H. Brooks, Martha J. Radford, Robert O. Bonow, Ileana L. Piña, Gregory L. Burke, Costas T. Lambrew, Mary Beth Landrum, Kim A. Eagle and Francis M. Fesmire. Their work appears in journals such as Journal of the American Geriatrics Society, Journal of the American College of Cardiology, JAMA, JAMA Internal Medicine and Pharmacy Practice.

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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