S Stein
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- Neuropeptides and Animal Physiology 16
- Molecular Biology top 5%
- Receptor Mechanisms and Signaling 15
- Glycosylation and Glycoproteins Research 6
- RNA Interference and Gene Delivery 4
- Reproductive Medicine top 5%
- Hypothalamic control of reproductive hormones 10
- Behavioral Neuroscience top 5%
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- Advanced Proteomics Techniques and Applications 5
- Analytical Chemistry and Chromatography 3
- Mass Spectrometry Techniques and Applications 3
- Co-authors
- Sidney UdenfriendA S SternRandolph V. LewisMenachem RubinsteinJean RossierPeter BöhlenSadao KimuraWallace Dairman
- Journals
- Proceedings of the National Academy of Sciences (23 papers)Analytical Biochemistry (4 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
S Stein
45 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 119
- Cellular and Molecular Neuroscience 1.3k
- Molecular Biology 2.2k
- Reproductive Medicine 207
- Behavioral Neuroscience 85
- Endocrine and Autonomic Systems 146
Countries citing papers authored by S Stein
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 14 | |
| 2 | 1997 | 0 | |
| 3 | 1996 | 19 | |
| 4 | 1993 | 13 | |
| 5 | 1993 | 3 | |
| 6 | An acridine amino acid derivative for use in Fmoc peptide synthesis. | 1992 | 5 |
| 7 | Synthesis of the pro-peptide of subtilisin BPN'. | 1992 | 2 |
| 8 | 1992 | 6 | |
| 9 | 1989 | 65 | |
| 10 | 1985 | 0 | |
| 11 | 1985 | 90 | |
| 12 | 1984 | 347 | |
| 13 | 1983 | 66 | |
| 14 | 1982 | 2 | |
| 15 | 1981 | 52 | |
| 16 | 1979 | 197 | |
| 17 | 1977 | 122 | |
| 18 | 1974 | 39 | |
| 19 | 1973 | 321 | |
| 20 | 1971 | 43 |
About S Stein
S Stein is a scholar working on Reproductive Medicine, Cellular and Molecular Neuroscience and Spectroscopy, having authored 48 papers that have together received 3.1k 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), RNA Interference and Gene Delivery (4 papers), Analytical Chemistry and Chromatography (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Molecular Biology (2.2k citations) and Reproductive Medicine (207 citations). S Stein has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Sidney Udenfriend, A S Stern, Randolph V. Lewis, Menachem Rubinstein, Jean Rossier, Peter Böhlen, Sadao Kimura, Wallace Dairman, L Brink 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 Methods in enzymology on CD-ROM/Methods in enzymology.
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.