Herbert Sheppard

2.5k citations
86 papers · 1.8k · h-index 24

Impact in

Papers in

Herbert Sheppard

84 papers receiving 1.5k citations

Peers

Herbert Sheppard
Comparison fields: 5 of 137
  • Physiology 117
  • Endocrinology, Diabetes and Metabolism 274
  • Behavioral Neuroscience 52
  • Cellular and Molecular Neuroscience 262
  • Biochemistry 92
Replace Theodore M. Brody with:
Theodore M. Brody United States
Elwood Titus United States
K. A. Munday United Kingdom
Steven E. Mayer United States
A. L. Greenbaum United Kingdom
Joel G. Hardman United States
Jean‐Paul Blondeau France
Alfred Goldstone United States
Craig D. Albright United States
Hiroo Maeno Japan
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Citations per field
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Citations per year

Countries citing papers authored by Herbert Sheppard

Since Specialization
Citations

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

Fields of papers citing papers by Herbert Sheppard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1965246
2 1953157
3 1958101
4 197184
5 195980
6 197369
7 196954
8
Structure-activity relationships for inhibitors of phosphodiesterase from erythrocytes and other tissues.
197254
9 197150
10 197639
11 197033
12
Cholesterol synthesis by liver. IV. Suppression by steroid administration.
195332
13 195331
14 197030
15 197729
16 197028
17 197128
18 196327
19 197426
20 196025

About Herbert Sheppard

Herbert Sheppard is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Endocrinology, Diabetes and Metabolism and Organic Chemistry, having authored 86 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Receptor Mechanisms and Signaling (9 papers), Phosphodiesterase function and regulation (9 papers), Neurotransmitter Receptor Influence on Behavior (8 papers), Estrogen and related hormone effects (6 papers), Adenosine and Purinergic Signaling (6 papers), Hormonal and reproductive studies (5 papers) and Hormonal Regulation and Hypertension (5 papers). The work is most often cited by research in Physiology (117 citations), Endocrinology, Diabetes and Metabolism (274 citations), Behavioral Neuroscience (52 citations), Cellular and Molecular Neuroscience (262 citations) and Biochemistry (92 citations). Herbert Sheppard has collaborated with scholars based in United States, Switzerland and Taiwan. Frequent co-authors include Charles Burghardt, Gloria A. Wiggan, J. J. Chart, I.L. Chaikoff, Gordon M. Tomkins, Thomas F. Mowles, Colin Dalton, A. J. Plummer, W.H. Tsien and Ahmed Mahgoub. Their work appears in journals such as Biochemical Pharmacology, Endocrinology, Life Sciences, Nature and Molecular Pharmacology.

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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