Michael E. Beil

732 citations
29 papers · 629 · h-index 13

Impact in

Papers in

Michael E. Beil

29 papers receiving 587 citations

Peers

Michael E. Beil
Comparison fields: 5 of 46
  • Physiology 34
  • Endocrinology, Diabetes and Metabolism 125
  • Cardiology and Cardiovascular Medicine 70
  • Physiology 40
  • Computational Theory and Mathematics 23
Replace Richard J. Barrett with:
Richard J. Barrett United States
Inger Brandt Belgium
Tova Zinman Israel
Eilidh Craigie United Kingdom
Christopher S. Konkoy United States
Noriyuki Naya Japan
Rose‐Marie Catalioto Italy
James C. Hershey United States
Holger Fuchs Germany
Young Y. Jeng United States
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Countries citing papers authored by Michael E. Beil

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Beil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016116
2 201051
3 201449
4 199143
5 201342
6 201532
7 201431
8 198327
9 201527
10 201324
11 200019
12 200019
13 200519
14 200213
15 201313
16 200412
17 200011
18 200011
19 200210
20 19979

About Michael E. Beil

Michael E. Beil is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Physiology, Physiology and Pharmacology, having authored 29 papers that have together received 629 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (6 papers), Nitric Oxide and Endothelin Effects (5 papers), Renin-Angiotensin System Studies (3 papers), Blood Pressure and Hypertension Studies (2 papers), Alkaloids: synthesis and pharmacology (1 paper), Cardiac Ischemia and Reperfusion (1 paper), Sphingolipid Metabolism and Signaling (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Physiology (34 citations), Endocrinology, Diabetes and Metabolism (125 citations), Cardiology and Cardiovascular Medicine (70 citations), Physiology (40 citations) and Computational Theory and Mathematics (23 citations). Michael E. Beil has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Arco Y. Jeng, Dean F. Rigel, Fumin Fu, Angelo J. Trapani, Charles W. Bruseo, Nigel Levens, Richard Schulz, James L. Bergey, Guiqing Liang and Paula Savage. Their work appears in journals such as Journal of Cardiovascular Pharmacology, Bioorganic & Medicinal Chemistry Letters, Journal of Pharmacology and Experimental Therapeutics, ACS Medicinal Chemistry Letters and Clinical Science.

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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