Michael Szelke

1.7k citations
69 papers · 1.4k · h-index 20

Impact in

Papers in

Michael Szelke

68 papers receiving 1.3k citations

Peers

Michael Szelke
Comparison fields: 5 of 99
  • Cellular and Molecular Neuroscience 256
  • Molecular Biology 865
  • Cardiology and Cardiovascular Medicine 242
  • Endocrinology, Diabetes and Metabolism 181
  • Biotechnology 100
Replace Jay R. Luly with:
Jay R. Luly United States
Herman H. Stein United States
Nigel J. Liverton United States
Mark Namchuk United States
Kostas Antonakis France
J. PLUSCEC United States
Robert J. Ife United Kingdom
Jon Read United Kingdom
Seymour Mong United States
Thomas W von Geldern United States
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Citations per field
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Jay R. Luly · 1×
Citations per year

Countries citing papers authored by Michael Szelke

Since Specialization
Citations

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

Fields of papers citing papers by Michael Szelke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982201
2 1987112
3 198793
4 199768
5 199664
6 197651
7 198546
8 199343
9
H-77: a potent new renin inhibitor. In vitro and in vivo studies.
198240
10 198040
11 199439
12 198338
13 199726
14 198326
15 198525
16 195624
17 197923
18 199121
19 198321
20 196420

About Michael Szelke

Michael Szelke is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Organic Chemistry, Oncology and Cellular and Molecular Neuroscience, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (16 papers), Chemical Synthesis and Analysis (15 papers), Neuropeptides and Animal Physiology (10 papers), Receptor Mechanisms and Signaling (9 papers), Peptidase Inhibition and Analysis (9 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers), Protein Hydrolysis and Bioactive Peptides (6 papers) and Helicobacter pylori-related gastroenterology studies (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (256 citations), Molecular Biology (865 citations), Cardiology and Cardiovascular Medicine (242 citations), Endocrinology, Diabetes and Metabolism (181 citations) and Biotechnology (100 citations). Michael Szelke has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Butrus Atrash, B Leckie, Dylan M. Jones, A. Hallett, Anthony F. Lever, J.B. Cooper, D. Michael Jones, J.E. Sueiras, T.L. Blundell and Robert J. Sharpe. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Hypertension, Journal of Cardiovascular Pharmacology, Biochemical Society Transactions and Nature.

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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