Mark H. Perrone

81 papers receiving 3.1k citations

Peers

Mark H. Perrone
Comparison fields: 5 of 112
  • Endocrine and Autonomic Systems 576
  • Cardiology and Cardiovascular Medicine 912
  • Cellular and Molecular Neuroscience 713
  • Physiology 152
  • Endocrinology, Diabetes and Metabolism 543
Replace J.P. Maffrand with:
J.P. Maffrand France
Ram V. Sharma United States
Fangyi Zhang United States
Dmitri Gordienko United Kingdom
C. van Breemen United States
Shigetoshi Chiba Japan
Kim A. Dora United Kingdom
Grant A. McPherson Australia
Kunio Ishii Japan
Pierre Falardeau Canada
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Citations per year

Countries citing papers authored by Mark H. Perrone

Since Specialization
Citations

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

Fields of papers citing papers by Mark H. Perrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark H. Perrone. 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 Mark H. Perrone. The network helps show where Mark H. Perrone may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999403
2 1980389
3 1993117
4 1981108
5 1981107
6 1991106
7 198897
8
Jaye, M. et al. A novel endothelial-derived lipase that modulates HDL metabolism. Nat. Genet. 21, 424-428
199991
9 198186
10 199284
11 199879
12 199979
13 197877
14 198670
15 199760
16 198156
17
1-Hydroxy-3-(methylpentylamino)-propylidene-1,1-bisphosphonic acid as a potent inhibitor of squalene synthase.
199650
18 198948
19 199048
20 198147

About Mark H. Perrone

Mark H. Perrone is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Physiology and Hematology, having authored 81 papers that have together received 3.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Blood Coagulation and Thrombosis Mechanisms (10 papers), Cardiac Ischemia and Reperfusion (10 papers), Nitric Oxide and Endothelin Effects (8 papers), Cardiac Arrest and Resuscitation (8 papers), Neuropeptides and Animal Physiology (7 papers), Plant biochemistry and biosynthesis (6 papers) and Venous Thromboembolism Diagnosis and Management (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (576 citations), Cardiology and Cardiovascular Medicine (912 citations), Cellular and Molecular Neuroscience (713 citations), Physiology (152 citations) and Endocrinology, Diabetes and Metabolism (543 citations). Mark H. Perrone has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include William T. Talman, Donald J. Reis, Dilip Amin, Patricia M. Hinkle, Linda Merkel, Deborah A. Scheuer, Glenda E. Bilder, Victoria South, John A. Krawiec and Dawn Marchadier. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, European Journal of Pharmacology, Journal of Cardiovascular Pharmacology, Journal of Medicinal Chemistry and Thrombosis Research.

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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