Pei‐San Tsai
- Molecular Biology top 10%
- Reproductive Medicine top 0.5%
- Genetics top 5%
- Cellular and Molecular Neuroscience top 5%
- Social Psychology top 5%
- Co-authors
- Robert W. SchrierJohn C. GillW. C. ChungLihong ZhangScott I. KavanaughPaul LichtCarlos CarameloToni R. Pak
- Topics
- Hypothalamic control of reproductive hormones (38 papers)Neuroendocrine regulation and behavior (22 papers)Reproductive biology and impacts on aquatic species (13 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Pei‐San Tsai
87 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 950
- Reproductive Medicine 810
- Genetics 490
- Cellular and Molecular Neuroscience 428
- Social Psychology 391
Countries citing papers authored by Pei‐San Tsai
This map shows the geographic impact of Pei‐San Tsai'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 Pei‐San Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei‐San Tsai more than expected).
Fields of papers citing papers by Pei‐San Tsai
This network shows the impact of papers produced by Pei‐San Tsai. 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 Pei‐San Tsai. The network helps show where Pei‐San Tsai may publish in the future.
Co-authorship network of co-authors of Pei‐San Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Pei‐San Tsai. A scholar is included among the top collaborators of Pei‐San Tsai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pei‐San Tsai. Pei‐San Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 19 | |
| 4 | 16 | |
| 5 | 24 | |
| 6 | 7 | |
| 7 | 17 | |
| 8 | 26 | |
| 9 | 44 | |
| 10 | 11 | |
| 11 | 20 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 39 | |
| 15 | 21 | |
| 16 | 27 | |
| 17 | 9 | |
| 18 | 8 | |
| 19 | 55 | |
| 20 | 30 |
About Pei‐San Tsai
Pei‐San Tsai is a scholar working on Reproductive Medicine, Physiology and Endocrine and Autonomic Systems, having authored 89 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (38 papers), Neuroendocrine regulation and behavior (22 papers) and Reproductive biology and impacts on aquatic species (13 papers). The work is most often cited by research in Reproductive Medicine (810 citations), Physiology (289 citations) and Endocrine and Autonomic Systems (180 citations). Pei‐San Tsai has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Robert W. Schrier, John C. Gill, W. C. Chung, Lihong Zhang, Scott I. Kavanaugh, Paul Licht, Carlos Caramelo, Toni R. Pak, Jerrold M. Olefsky and Suzanne M. Moenter. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.