Kay Barnes

2.5k citations
36 papers · 2.0k · h-index 25

Impact in

  • Physiology top 1%
    • Nitric Oxide and Endothelin Effects
    • Adenosine and Purinergic Signaling
    • Adipose Tissue and Metabolism

Papers in

    • Metabolism, Diabetes, and Cancer 6
    • Receptor Mechanisms and Signaling 4
    • Nitric Oxide and Endothelin Effects 13
    • Adenosine and Purinergic Signaling 3

Kay Barnes

36 papers receiving 2.0k citations

Peers

Kay Barnes
Comparison fields: 5 of 94
  • Physiology 303
  • Physiology 574
  • Transplantation 41
  • Molecular Biology 967
  • Biochemistry 91
Replace Dan S. Luciani with:
Dan S. Luciani Canada
Elizabeth Kornecki United States
Claudia C.S. Chini United States
Steven W. Paugh United States
Ingo B. Leibiger Sweden
José Manuel García-Manteiga Italy
Rita Nano Italy
Jin Ren United States
Lisa M. Ballou United States
Deborah Card United States
Kay Barnes relative to Dan S. Luciani Canada Dan S. Luciani's profile →
Citations per field
00.5×2.8×
Dan S. Luciani · 1×
Citations per year

Countries citing papers authored by Kay Barnes

Since Specialization
Citations

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

Fields of papers citing papers by Kay Barnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005252
2 2002237
3 2002147
4 2006146
5 2006143
6 2002118
7 1995101
8 199581
9 200573
10 200561
11 200358
12 199857
13 199254
14 200452
15 200148
16 199848
17 200645
18 199544
19 199743
20 199542

About Kay Barnes

Kay Barnes is a scholar working on Molecular Biology, Physiology, Surgery, Cardiology and Cardiovascular Medicine and Oncology, having authored 36 papers that have together received 2.0k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (13 papers), Renin-Angiotensin System Studies (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Peptidase Inhibition and Analysis (6 papers), Pancreatic function and diabetes (6 papers), Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (4 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Physiology (303 citations), Physiology (574 citations), Transplantation (41 citations), Molecular Biology (967 citations) and Biochemistry (91 citations). Kay Barnes has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Stephen A. Baldwin, Anthony J. Turner, David Carling, Lee G.D. Fryer, Fabienne Foufelle, Carol E. Cass, Angela Woods, James D. Young, Jean C. Ingram and Mabel W.L. Ritzel. Their work appears in journals such as Biochemical Society Transactions, Journal of Neurochemistry, Biochemical Journal, Journal of Cardiovascular Pharmacology and Journal of Biological Chemistry.

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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