S. Huang
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol 3
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- Neuropeptides and Animal Physiology 9
- Neurotransmitter Receptor Influence on Behavior 5
- Biological Psychiatry top 10%
- Social Psychology top 10%
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- Receptor Mechanisms and Signaling 6
- Chemical Synthesis and Analysis 3
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- Peptidase Inhibition and Analysis 3
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- Neuroendocrine Tumor Research Advances 2
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- Hepatitis Viruses Studies and Epidemiology 2
- Co-authors
- F. Scott HallAgu PertGrace FongRobert T. JensenJerry D. GardnerMarkku LinnoilaStephen A. WankNingyi Jiang
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (3 papers)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
S. Huang
20 papers receiving 870 citations
Peers
Comparison fields: 5 of 83
- Behavioral Neuroscience 197
- Cellular and Molecular Neuroscience 582
- Biological Psychiatry 43
- Social Psychology 170
- Endocrine and Autonomic Systems 48
Countries citing papers authored by S. Huang
This map shows the geographic impact of S. Huang'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. Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Huang more than expected).
Fields of papers citing papers by S. Huang
This network shows the impact of papers produced by S. Huang. 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. Huang. The network helps show where S. Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside S. Huang, 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 | 2025 | 1 | |
| 2 | 2011 | 2 | |
| 3 | 2003 | 0 | |
| 4 | 2002 | 7 | |
| 5 | 2000 | 26 | |
| 6 | 1999 | 44 | |
| 7 | 1998 | 89 | |
| 8 | 1998 | 48 | |
| 9 | 1998 | 86 | |
| 10 | 1997 | 26 | |
| 11 | 1995 | 12 | |
| 12 | 1994 | 52 | |
| 13 | 1990 | 33 | |
| 14 | 1990 | 16 | |
| 15 | 1990 | 50 | |
| 16 | 1990 | 107 | |
| 17 | 1989 | 37 | |
| 18 | 1989 | 55 | |
| 19 | 1989 | 55 | |
| 20 | 1989 | 84 |
About S. Huang
S. Huang is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Small Animals, having authored 21 papers that have together received 882 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Receptor Mechanisms and Signaling (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Stress Responses and Cortisol (3 papers), Chemical Synthesis and Analysis (3 papers), Peptidase Inhibition and Analysis (3 papers), Neuroendocrine Tumor Research Advances (2 papers) and Hepatitis Viruses Studies and Epidemiology (2 papers). The work is most often cited by research in Behavioral Neuroscience (197 citations), Cellular and Molecular Neuroscience (582 citations) and Biological Psychiatry (43 citations). S. Huang has collaborated with scholars based in United States and Taiwan. Frequent co-authors include F. Scott Hall, Agu Pert, Grace Fong, Robert T. Jensen, Jerry D. Gardner, Markku Linnoila, Stephen A. Wank, Ningyi Jiang, D.H. Coy and John E. Taylor. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Annals of the New York Academy of Sciences.
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.