Scott C. Supowit

2.0k citations
52 papers · 1.7k indexed · h-index 28

Scott C. Supowit

52 papers receiving 1.6k citations

Peers

Scott C. Supowit
Comparison fields: 5 of 96
  • Cellular and Molecular Neuroscience 707
  • Endocrinology, Diabetes and Metabolism 424
  • Endocrine and Autonomic Systems 85
  • Psychiatry and Mental health 182
  • Sensory Systems 58
Replace Amal K. Mukhopadhyay with:
Amal K. Mukhopadhyay Germany
Alwin G. Schuller United States
G.M. Makhlouf United States
Martine Imbert–Teboul France
Cary W. Cooper United States
Ahmed Beggah Switzerland
Clara M. Cheng United States
J.L.C. Ch'ng United Kingdom
Elena Del Bianco Italy
Jack C. Sipe United States
Scott C. Supowit relative to Amal K. Mukhopadhyay Germany Amal K. Mukhopadhyay's profile →
Citations per field
00.5×4.0×
Amal K. Mukhopadhyay · 1×
Citations per year

Countries citing papers authored by Scott C. Supowit

Since Specialization
Citations

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

Fields of papers citing papers by Scott C. Supowit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott C. Supowit. 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 Scott C. Supowit. The network helps show where Scott C. Supowit may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20131
2 201154
3 201010
4 200841
5 200737
6 200623
7 200528
8 20053
9 200430
10 200127
11 200120
12 199910
13 199944
14 199825
15 199534
16 199539
17 199517
18 199230
19 199210
20 19828

About Scott C. Supowit

Scott C. Supowit is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Geriatrics and Gerontology, having authored 52 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (33 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (19 papers), Hormonal Regulation and Hypertension (15 papers), Receptor Mechanisms and Signaling (13 papers), Animal Genetics and Reproduction (5 papers), Cardiac Ischemia and Reperfusion (4 papers), Renin-Angiotensin System Studies (4 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (707 citations), Endocrinology, Diabetes and Metabolism (424 citations) and Endocrine and Autonomic Systems (85 citations). Scott C. Supowit has collaborated with scholars based in United States, Japan and Portugal. Frequent co-authors include Donald J. DiPette, Huawei Zhao, Sunil J. Wimalawansa, Chandra Yallampalli, Pandu R. Gangula, Karin N. Westlund, Jeffrey M. Rosen, Khurshed A. Katki, E Potter and Michael G. Rosenfeld. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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