Jon C. White

34 papers receiving 2.4k citations

Peers

Jon C. White
Comparison fields: 5 of 88
  • Epidemiology 1.3k
  • Applied Microbiology and Biotechnology 45
  • Hepatology 110
  • Dermatology 100
  • Nephrology 69
Replace Athina Pyrpasopoulou with:
Athina Pyrpasopoulou Greece
Paul Martin United States
Waheedullah Karzai Germany
Sylvain Dubucquoi France
Antonio Spadea Italy
Michael Daines United States
Marcus Vinícius Melo de Andrade Brazil
François Lionnet France
Doron Rimar Israel
Nasser Kamalian Iran
Jon C. White relative to Athina Pyrpasopoulou Greece Athina Pyrpasopoulou's profile →
Citations per field
00.5×2×4×6×8.4×
Athina Pyrpasopoulou · 1×
Citations per year

Countries citing papers authored by Jon C. White

Since Specialization
Citations

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

Fields of papers citing papers by Jon C. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon C. White. 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 Jon C. White. The network helps show where Jon C. White may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004468
2 2001390
3 1998275
4 1998147
5 2017124
6 2000113
7 200199
8 201194
9 200290
10 199978
11 200168
12 200168
13 200349
14 201645
15 201642
16 199641
17 199941
18 200340
19 201737
20 200136

About Jon C. White

Jon C. White is a scholar working on Epidemiology, Cellular and Molecular Neuroscience, Oncology, Dermatology and Hepatology, having authored 35 papers that have together received 2.5k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (13 papers), Neuropeptides and Animal Physiology (4 papers), TGF-β signaling in diseases (3 papers), Cancer and Skin Lesions (2 papers), Neutropenia and Cancer Infections (2 papers), Pancreatitis Pathology and Treatment (2 papers), Health Services Management and Policy (1 paper) and Colorectal and Anal Carcinomas (1 paper). The work is most often cited by research in Epidemiology (1.3k citations), Applied Microbiology and Biotechnology (45 citations), Hepatology (110 citations), Dermatology (100 citations) and Nephrology (69 citations). Jon C. White has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Eric Nylén, Kenneth L. Becker, Richard H. Snider, Beat Peter Müller-Stich, Joel Francis Habener, Paul M. Steinwald, Steven D. Vath, RICHARD L. AMDUR, Rubie Sue Jackson and Robyn A. Macsata. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Shock, Critical Care Medicine, Journal of Surgical Research and Anesthesiology.

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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