Gary Salmon

610 citations
11 papers · 441 · h-index 9

Impact in

  • Hematology top 5%
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms
    • Cell Adhesion Molecules Research

Papers in

    • Platelet Disorders and Treatments 3
    • Blood Coagulation and Thrombosis Mechanisms 2
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
    • Mast cells and histamine 2

Gary Salmon

11 papers receiving 430 citations

Peers

Gary Salmon
Comparison fields: 5 of 65
  • Hematology 179
  • Immunology and Allergy 57
  • Immunology 137
  • Internal Medicine 18
  • Cardiology and Cardiovascular Medicine 76
Replace Rene Pagila with:
Rene Pagila United States
Seiji Kaku Japan
Norihisa Ishiwata Japan
Angelika Gillitzer Germany
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Yizhi Jiang China
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D Meyer France
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Citations per field
00.5×4.6×
Rene Pagila · 1×
Citations per year

Countries citing papers authored by Gary Salmon

Since Specialization
Citations

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

Fields of papers citing papers by Gary Salmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2010141
2 200370
3 201558
4 200737
5 200235
6 200231
7 200728
8 200816
9 20169
10 20088
11 20108

About Gary Salmon

Gary Salmon is a scholar working on Hematology, Immunology, Physiology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 441 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (3 papers), Asthma and respiratory diseases (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Mast cells and histamine (2 papers), Blood disorders and treatments (2 papers), Adenosine and Purinergic Signaling (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Hematology (179 citations), Immunology and Allergy (57 citations), Immunology (137 citations), Internal Medicine (18 citations) and Cardiology and Cardiovascular Medicine (76 citations). Gary Salmon has collaborated with scholars based in United Kingdom, Australia and China. Frequent co-authors include Kristin N. Kornerup, Clive Page, Simon C. Pitchford, Stuart Marshall, Steve P. Watson, Naoki Asazuma, Peter Wonerow, Janis K. Shute, Denise Best and Michael A. Trevethick. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Clinical & Experimental Allergy, Biochemical Journal, Journal of Applied Physiology and Blood.

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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