S Stein

3.9k citations
47 papers · 3.5k · h-index 32

Impact in

Papers in

S Stein

46 papers receiving 3.1k citations

Peers

S Stein
Comparison fields: 5 of 122
  • Cellular and Molecular Neuroscience 1.5k
  • Molecular Biology 2.5k
  • Reproductive Medicine 235
  • Behavioral Neuroscience 96
  • Endocrine and Autonomic Systems 160
Replace Gábor K. Tóth with:
Gábor K. Tóth Hungary
Howard S. Tager United States
Carl D. Bennett United States
Burkhard Wiesner Germany
Paolo Rovero Italy
Mark Wheatley United Kingdom
Derek G. Smyth Tanzania
László Gráf Hungary
Eisuke Munekata Japan
Michel A. DELAAGE France
S Stein relative to Gábor K. Tóth Hungary Gábor K. Tóth's profile →
Citations per field
00.5×1.5×
Gábor K. Tóth · 1×
Citations per year

Countries citing papers authored by S Stein

Since Specialization
Citations

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

Fields of papers citing papers by S Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984380
2 1973347
3 2005302
4 1979235
5 1979173
6 1977137
7 1980122
8 1981121
9 1981112
10 198198
11 198591
12 197889
13 198080
14 198079
15 198679
16 198178
17 197875
18 198372
19 198970
20 198565

About S Stein

S Stein is a scholar working on Cellular and Molecular Neuroscience, Reproductive Medicine, Molecular Biology, Spectroscopy and Endocrinology, Diabetes and Metabolism, having authored 47 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (16 papers), Receptor Mechanisms and Signaling (15 papers), Hypothalamic control of reproductive hormones (10 papers), Glycosylation and Glycoproteins Research (6 papers), Advanced Proteomics Techniques and Applications (5 papers), Protein purification and stability (3 papers), Analytical Chemistry and Chromatography (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Molecular Biology (2.5k citations), Reproductive Medicine (235 citations), Behavioral Neuroscience (96 citations) and Endocrine and Autonomic Systems (160 citations). S Stein has collaborated with scholars based in United States, France and Israel. Frequent co-authors include Sidney Udenfriend, ALVIN S. STERN, Randolph V. Lewis, Menachem Rubinstein, Jean Rossier, Sadao Kimura, Peter Böhlen, Larry Brink, Wallace M. Dairman and J. Wideman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Analytical Biochemistry, Journal of Biological Chemistry, Archives of Biochemistry and Biophysics and Journal of Chromatography A.

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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