James C. Peyton

1.3k citations
44 papers · 855 · h-index 19

Impact in

Papers in

    • Immune Response and Inflammation 15
    • Immune Cell Function and Interaction 4
    • Reproductive System and Pregnancy 4
    • Bacterial biofilms and quorum sensing 5

James C. Peyton

43 papers receiving 836 citations

Peers

James C. Peyton
Comparison fields: 5 of 99
  • Immunology 416
  • Critical Care and Intensive Care Medicine 74
  • Immunology and Allergy 44
  • Epidemiology 248
  • Microbiology 35
Replace J. Gérain with:
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John E. Palardy United States
Jacob E. Wang Norway
Satoshi Ono Japan
Nicolas A. Parejo United States
J. Daan de Boer Netherlands
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James C. Peyton relative to J. Gérain Belgium J. Gérain's profile →
Citations per field
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Citations per year

Countries citing papers authored by James C. Peyton

Since Specialization
Citations

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

Fields of papers citing papers by James C. Peyton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199970
2 200355
3 199453
4 199747
5 200244
6 200442
7 199940
8 199738
9 199235
10 199435
11 199433
12 199227
13 199626
14 199826
15 200421
16 199420
17 200120
18 200719
19 198419
20 200318

About James C. Peyton

James C. Peyton is a scholar working on Immunology, Molecular Biology, Epidemiology, Surgery and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 855 indexed citations. Recurring topics across this work include Immune Response and Inflammation (15 papers), Sepsis Diagnosis and Treatment (6 papers), Bacterial biofilms and quorum sensing (5 papers), Immune Cell Function and Interaction (4 papers), Reproductive System and Pregnancy (4 papers), Nosocomial Infections in ICU (3 papers), Wound Healing and Treatments (3 papers) and Antimicrobial Peptides and Activities (3 papers). The work is most often cited by research in Immunology (416 citations), Critical Care and Intensive Care Medicine (74 citations), Immunology and Allergy (44 citations), Epidemiology (248 citations) and Microbiology (35 citations). James C. Peyton has collaborated with scholars based in United States, Denmark and Australia. Frequent co-authors include William G. Cheadle, Mark Mercer‐Jones, Melanie J. Scott, Michael Heinzelmann, M. Shrotri, Kelly M. McMasters, Dimitri Hadjiminas, Christopher J. Godshall, Sarah A. Gardner and Thomas M. Bergamini. Their work appears in journals such as Journal of Surgical Research, Shock, ASAIO Journal, The American Surgeon and Cytokine.

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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