J E March

58 papers receiving 1.4k citations

Peers

J E March
Comparison fields: 5 of 86
  • Endocrine and Autonomic Systems 145
  • Cardiology and Cardiovascular Medicine 422
  • Biochemistry 136
  • Endocrinology, Diabetes and Metabolism 260
  • Physiology 394
Replace P.A. Kemp with:
P.A. Kemp United Kingdom
Yoshihide Fujisawa Japan
Marc Brede Germany
René de Vries Netherlands
Albino García‐Sacristán Spain
Tai Yao China
Anna M.D. Watson Australia
Kazushi Tsuda Japan
Hirotsugu Okamoto Japan
A Gibson United Kingdom
J E March relative to P.A. Kemp United Kingdom P.A. Kemp's profile →
Citations per field
00.5×1.5×2.5×
P.A. Kemp · 1×
Citations per year

Countries citing papers authored by J E March

Since Specialization
Citations

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

Fields of papers citing papers by J E March

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J E March. 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 J E March. The network helps show where J E March may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200191
2 199583
3 199582
4 199561
5 199348
6 199948
7 200647
8 200247
9 199544
10 200442
11 199941
12 199441
13 200040
14 199439
15 200132
16 200331
17 200430
18 199629
19 199429
20 199429

About J E March

J E March is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Molecular Biology, Biochemistry and Pharmacology, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (31 papers), Renin-Angiotensin System Studies (13 papers), Receptor Mechanisms and Signaling (10 papers), Eicosanoids and Hypertension Pharmacology (10 papers), Heart Rate Variability and Autonomic Control (7 papers), Blood Pressure and Hypertension Studies (6 papers), Neuropeptides and Animal Physiology (6 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (145 citations), Cardiology and Cardiovascular Medicine (422 citations), Biochemistry (136 citations), Endocrinology, Diabetes and Metabolism (260 citations) and Physiology (394 citations). J E March has collaborated with scholars based in United Kingdom, Sweden and Netherlands. Frequent co-authors include Sheila M. Gardiner, P.A. Kemp, T. Bennett, Philip A. Kemp, Terence Bennett, Anthony P. Davenport, P. C. Rubin, Bo Fallgren, Michael D. Randall and John J. Mullins. Their work appears in journals such as British Journal of Pharmacology, Journal of Pharmacology and Experimental Therapeutics, The FASEB Journal, Biochemical Pharmacology and American Journal of Physiology-Heart and Circulatory Physiology.

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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