S. Lieberman

2.1k citations
42 papers · 1.6k indexed · h-index 23

S. Lieberman

42 papers receiving 1.4k citations

Peers

S. Lieberman
Comparison fields: 5 of 114
  • Endocrinology, Diabetes and Metabolism 836
  • Behavioral Neuroscience 140
  • Pharmacology 203
  • Genetics 340
  • Reproductive Medicine 75
Replace J. K. Grant with:
J. K. Grant United Kingdom
Alexander C. Brownie United States
Arnold J. Eisenfeld United States
Lewis L. Engel United States
Donald S. Layne Canada
Warren W. Davis United States
Bernard H. Shapiro United States
John T. Gwynne United States
Robert I. Gregerman United States
Arthur G. Schwartz United States
S. Lieberman relative to J. K. Grant United Kingdom J. K. Grant's profile →
Citations per field
00.5×1.5×2.3×
J. K. Grant · 1×
Citations per year

Countries citing papers authored by S. Lieberman

Since Specialization
Citations

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

Fields of papers citing papers by S. Lieberman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199861
2 199720
3 199612
4 1993128
5 199310
6 19927
7 199279
8 19905
9 198511
10 198034
11 198020
12 197613
13 197442
14 196735
15 196734
16 196545
17 19588
18
The isolation of a urinary metabolite of aldosterone and its use to measure the rate of secretion of aldosterone by the adrenal cortex of man.
195891
19 195411
20 195213

About S. Lieberman

S. Lieberman is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology, Clinical Biochemistry, Biochemistry and Molecular Biology, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (16 papers), Pharmacogenetics and Drug Metabolism (11 papers), Hormonal and reproductive studies (11 papers), Steroid Chemistry and Biochemistry (11 papers), Cholesterol and Lipid Metabolism (6 papers), Estrogen and related hormone effects (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (836 citations), Behavioral Neuroscience (140 citations), Pharmacology (203 citations), Genetics (340 citations) and Reproductive Medicine (75 citations). S. Lieberman has collaborated with scholars based in United States, Ukraine and Canada. Frequent co-authors include M. Welch, Richard B. Hochberg, V V Prasad, Laura Ponticorvo, Andrew R. Hoffman, N.M. Drayer, Stanley Ulick, G. E. Butterfield, MacDonald Pc and Erlio Gurpide. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Archives of Biochemistry and Biophysics.

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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