R Saperstein

942 citations
17 papers · 703 indexed · h-index 9

R Saperstein

17 papers receiving 671 citations

Peers

R Saperstein
Comparison fields: 5 of 72
  • Physiology 210
  • Molecular Biology 519
  • Inorganic Chemistry 90
  • Endocrinology, Diabetes and Metabolism 103
  • Biochemistry 43
Replace H.V. Strout with:
H.V. Strout United States
Janet Sredy United States
Kennan Marsh United States
David J. Cowan United States
James S. Frazee United States
Paige E. Mahaney United States
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R. Kirk McPherson United States
W.J. Vaartjes Netherlands
Morris Soodak United States
R Saperstein relative to H.V. Strout United States H.V. Strout's profile →
Citations per field
00.5×1.5×
H.V. Strout · 1×
Citations per year

Countries citing papers authored by R Saperstein

Since Specialization
Citations

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

Fields of papers citing papers by R Saperstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20232
2
Beta(3)-adrenoceptor agonist-induced increases in lipolysis, metabolic rate, facial flushing, and reflex tachycardia in anesthetized rhesus monkeys.
200111
3 1996340
4 199423
5 19931
6 199235
7 19908
8 198994
9 19898
10
The effect of ponalrestat on sorbitol levels in the lens of obese and diabetic mice.
19892
11 198812
12 198726
13 19876
14
Somatostatin analogs with improved oral bioavailability.
19862
15
Subcutaneous administration of somatostatin analogs as a major factor in the enhancement of the duration of action.
19782
16 1978112
17
The involvement of RNA synthesis and cyclic AMP in the activation of fat cell lipolysis by growth hormone and glucocorticoids.
197019

About R Saperstein

R Saperstein is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Clinical Biochemistry, having authored 17 papers that have together received 703 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Pancreatic function and diabetes (3 papers), Neuroendocrine Tumor Research Advances (2 papers), Pharmacology and Obesity Treatment (2 papers), Synthesis and Reactions of Organic Compounds (2 papers), Adipose Tissue and Metabolism (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Synthesis and Biological Evaluation (2 papers). The work is most often cited by research in Physiology (210 citations), Molecular Biology (519 citations) and Inorganic Chemistry (90 citations). R Saperstein has collaborated with scholars based in United States. Frequent co-authors include Catherine A. Cullinan, Mark D. Leibowitz, Pasquale P. Vicario, Thomas W. Doebber, Philip J. Bailey, Chhabi Biswas, N. Berger, R G Smith, Nancy S. Hayes and E E Slater. Their work appears in journals such as Endocrinology, Life Sciences, Diabetologia, Journal of Medicinal Chemistry and Cell Calcium.

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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