Kent Hermsmeyer

109 papers receiving 3.0k citations

Peers

Kent Hermsmeyer
Comparison fields: 5 of 110
  • Cardiology and Cardiovascular Medicine 1.3k
  • Cellular and Molecular Neuroscience 996
  • Physiology 892
  • Endocrinology, Diabetes and Metabolism 488
  • Molecular Biology 1.8k
Replace Jennings F. Worley with:
Jennings F. Worley United States
Gabriele Haeusler Austria
Matthias Schramm Germany
Robert Gros Canada
Nancy J. Rusch United States
Trudy L. Cornwell United States
James H. Ludens United States
Cornells van Breemen United States
Ikunobu Muramatsu Japan
Ram V. Sharma United States
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Citations per field
00.5×1.5×1.9×
Jennings F. Worley · 1×
Citations per year

Countries citing papers authored by Kent Hermsmeyer

Since Specialization
Citations

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

Fields of papers citing papers by Kent Hermsmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994346
2 1986307
3 1997211
4 1976186
5 1976172
6 1986151
7 1988101
8 197084
9 197765
10 199862
11 200261
12 198960
13 197654
14 197744
15 198043
16 197743
17 197643
18 199442
19 199942
20 198741

About Kent Hermsmeyer

Kent Hermsmeyer is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 113 papers that have together received 3.4k indexed citations. Recurring topics across this work include Ion channel regulation and function (45 papers), Cardiac electrophysiology and arrhythmias (35 papers), Nitric Oxide and Endothelin Effects (21 papers), Neuroscience and Neuropharmacology Research (18 papers), Receptor Mechanisms and Signaling (10 papers), Neuroscience and Neural Engineering (8 papers), Estrogen and related hormone effects (7 papers) and Menopause: Health Impacts and Treatments (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Cellular and Molecular Neuroscience (996 citations), Physiology (892 citations), Endocrinology, Diabetes and Metabolism (488 citations) and Molecular Biology (1.8k citations). Kent Hermsmeyer has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Santosh Kumar Mishra, Michael S. Sturek, O Aprigliano, Koichi Miyagawa, Bruce P. Bean, Alvaro Puga, Nancy J. Rusch, Frank Z. Stanczyk, Paul Erné and Josef Rösch. Their work appears in journals such as Circulation Research, Journal of Cardiovascular Pharmacology, Hypertension, American Journal of Physiology-Heart and Circulatory Physiology and Journal of Pharmacology and Experimental Therapeutics.

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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