Herbert Sheppard

2.4k citations
84 papers · 1.8k · h-index 24

Impact in

Papers in

Herbert Sheppard

82 papers receiving 1.5k citations

Peers

Herbert Sheppard
Comparison fields: 5 of 133
  • Physiology 117
  • Endocrinology, Diabetes and Metabolism 270
  • Behavioral Neuroscience 51
  • Cellular and Molecular Neuroscience 260
  • Biochemistry 90
Replace Melvin Blecher with:
Melvin Blecher United States
G. Krishna United States
Theodore M. Brody United States
K. A. Munday United Kingdom
Elwood Titus United States
Steven E. Mayer United States
A. L. Greenbaum United Kingdom
Hiroo Maeno Japan
Joel G. Hardman United States
Dana Jamieson Australia
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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 84 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 197128
17 197028
18 196327
19 196025
20 196225

About Herbert Sheppard

Herbert Sheppard is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Physiology and Organic Chemistry, having authored 84 papers that have together received 1.8k indexed citations. Recurring topics across this work include Phosphodiesterase function and regulation (9 papers), Neuroscience and Neuropharmacology Research (9 papers), Receptor Mechanisms and Signaling (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 (270 citations), Behavioral Neuroscience (51 citations), Cellular and Molecular Neuroscience (260 citations) and Biochemistry (90 citations). Herbert Sheppard has collaborated with scholars based in United States, Switzerland and United Kingdom. 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, Life Sciences, Endocrinology, Nature and Biochemical and Biophysical Research Communications.

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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