Steven E. Mayer

3.9k citations
76 papers · 3.3k · h-index 33

Impact in

    • Lipid metabolism and biosynthesis
    • Phosphodiesterase function and regulation
    • Receptor Mechanisms and Signaling
    • Protein Kinase Regulation and GTPase Signaling
    • Metabolism, Diabetes, and Cancer

Papers in

Steven E. Mayer

76 papers receiving 2.7k citations

Peers

Steven E. Mayer
Comparison fields: 5 of 94
  • Biochemistry 247
  • Molecular Biology 1.9k
  • Cardiology and Cardiovascular Medicine 487
  • Rheumatology 272
  • Physiology 76
Replace James G. McCormack with:
James G. McCormack United Kingdom
N D Goldberg United States
Jesús Adolfo García-Sáinz Mexico
André Herchuelz Belgium
Charles R. Filburn United States
Takanobu Taniguchi Japan
Francesc González‐Sastre Spain
Kazuhiro Oka United States
Glenn E. Mortimore United States
Ken I. Mitchelhill Australia
Steven E. Mayer relative to James G. McCormack United Kingdom James G. McCormack's profile →
Citations per field
00.5×2×4×6.8×
James G. McCormack · 1×
Citations per year

Countries citing papers authored by Steven E. Mayer

Since Specialization
Citations

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

Fields of papers citing papers by Steven E. Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981246
2 1980212
3 1959141
4 1971135
5 1979115
6 1961104
7 1970103
8 1968101
9 197399
10 197194
11 197086
12 197083
13 197981
14 197373
15 197373
16 197972
17 196570
18 197070
19 198370
20 197666

About Steven E. Mayer

Steven E. Mayer is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Biochemistry, Rheumatology and Cellular and Molecular Neuroscience, having authored 76 papers that have together received 3.3k indexed citations. Recurring topics across this work include Phosphodiesterase function and regulation (31 papers), Receptor Mechanisms and Signaling (18 papers), Metabolism, Diabetes, and Cancer (18 papers), Protein Kinase Regulation and GTPase Signaling (12 papers), Glycogen Storage Diseases and Myoclonus (9 papers), Cardiac electrophysiology and arrhythmias (8 papers), Lipid metabolism and biosynthesis (6 papers) and Cardiac Ischemia and Reperfusion (4 papers). The work is most often cited by research in Biochemistry (247 citations), Molecular Biology (1.9k citations), Cardiology and Cardiovascular Medicine (487 citations), Rheumatology (272 citations) and Physiology (76 citations). Steven E. Mayer has collaborated with scholars based in United States and Australia. Frequent co-authors include Laurence L. Brunton, J. SCOTT HAYES, James T. Stull, Daniel Howard Steinberg, Neil C. Moran, Jussi K. Huttunen, K A Reimer, Robert B. Jennings, M L Hill and Donald H. Namm. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Biological Chemistry, Circulation Research, Molecular Pharmacology and Proceedings of the National Academy of Sciences.

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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