Marilyn E. Hess

1.1k citations
53 papers · 881 · h-index 16

Impact in

Papers in

Marilyn E. Hess

48 papers receiving 694 citations

Peers

Marilyn E. Hess
Comparison fields: 5 of 69
  • Cardiology and Cardiovascular Medicine 275
  • Cellular and Molecular Neuroscience 124
  • Endocrine and Autonomic Systems 42
  • Endocrinology, Diabetes and Metabolism 103
  • Pharmacology 81
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Manabu Yoshimura Japan
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Citations per year

Countries citing papers authored by Marilyn E. Hess

Since Specialization
Citations

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

Fields of papers citing papers by Marilyn E. Hess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1951126
2 197485
3 196572
4 197857
5 195945
6 196945
7 198441
8 195838
9 195727
10 196926
11 197026
12 196523
13 195919
14 196216
15 196316
16
The influence of catecholamines on heart function and phosphorylase activity.
196616
17 196916
18 196214
19 196714
20 196112

About Marilyn E. Hess

Marilyn E. Hess is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology, Biochemistry and Cellular and Molecular Neuroscience, having authored 53 papers that have together received 881 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (22 papers), Phosphodiesterase function and regulation (21 papers), Receptor Mechanisms and Signaling (16 papers), Thyroid Disorders and Treatments (12 papers), Heart Rate Variability and Autonomic Control (5 papers), Cardiovascular Function and Risk Factors (4 papers), Adrenal Hormones and Disorders (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (275 citations), Cellular and Molecular Neuroscience (124 citations), Endocrine and Autonomic Systems (42 citations), Endocrinology, Diabetes and Metabolism (103 citations) and Pharmacology (81 citations). Marilyn E. Hess has collaborated with scholars based in United States and Italy. Frequent co-authors include Niels Haugaard, Joseph L. Shanfeld, Alan Frazer, Carl F. Schmidt, JOE MENDELS, Walther R. Kukovetz, Gerald W. Peskin, Domingo M. Aviado, WERNER KALOW and Arthur J. Weiss. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Biochemical Pharmacology, Pharmacological Reviews, European Journal of Pharmacology and Experimental Biology and Medicine.

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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