Barrie Ashby

2.3k citations
49 papers · 2.0k · h-index 25

Impact in

  • Physiology top 1%
    • Adenosine and Purinergic Signaling
  • Hematology top 2%
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

Barrie Ashby

49 papers receiving 1.9k citations

Peers

Barrie Ashby
Comparison fields: 5 of 113
  • Physiology 301
  • Hematology 461
  • Internal Medicine 79
  • Pharmacology 345
  • Cellular and Molecular Neuroscience 387
Replace Joseph A. Erhardt with:
Joseph A. Erhardt United States
Daniel Palmer United States
Christopher F. Toombs United States
Jocelyne Enouf France
Risa Korenaga Japan
Erika Glusa Germany
Raymonde Bredoux France
Vincent Sauzeau France
Antonio Feliciello Italy
Minoru Seto Japan
Barrie Ashby relative to Joseph A. Erhardt United States Joseph A. Erhardt's profile →
Citations per field
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Citations per year

Countries citing papers authored by Barrie Ashby

Since Specialization
Citations

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

Fields of papers citing papers by Barrie Ashby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998403
2 1993173
3 1996117
4 2000113
5 199087
6 199069
7 198962
8 197761
9 199461
10 199755
11 197953
12 200253
13 197845
14 199745
15 197444
16 199842
17 200442
18 201138
19 199836
20 198935

About Barrie Ashby

Barrie Ashby is a scholar working on Pharmacology, Hematology, Cellular and Molecular Neuroscience, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 49 papers that have together received 2.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (20 papers), Inflammatory mediators and NSAID effects (14 papers), Platelet Disorders and Treatments (10 papers), Antiplatelet Therapy and Cardiovascular Diseases (8 papers), Neuropeptides and Animal Physiology (6 papers), Hemoglobin structure and function (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Physiology (301 citations), Hematology (461 citations), Internal Medicine (79 citations), Pharmacology (345 citations) and Cellular and Molecular Neuroscience (387 citations). Barrie Ashby has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include James L. Daniel, Satya P. Kunapuli, Jianguo Jin, Carol Dangelmaier, J. Bryan Smith, Carl Frieden, Snehal S. Desai, Murat Bastepe, Lee‐Yuan Liu‐Chen and Razia Rawala-Sheikh. Their work appears in journals such as Journal of Biological Chemistry, Molecular Pharmacology, Biochemical Journal, FEBS Letters and Prostaglandins.

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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