C. C. TSAI
- Reproductive Medicine top 1%
- Endocrinology, Diabetes and Metabolism top 5%
- Public Health, Environmental and Occupational Health top 10%
- Genetics
- Immunology
- Co-authors
- S. S. C. YENFrederick NaftolinGrant W. VandenbergL. N. AjaborPatricio A. VelaRobert W. RebarDONAL C. PARKERTherese Vargo
- Topics
- Ovarian function and disorders (8 papers)Reproductive Biology and Fertility (3 papers)Reproductive Physiology in Livestock (3 papers)
- Journals
- Journal of Clinical InvestigationJournal of NeuroscienceThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesChinaJapan
In The Last Decade
C. C. TSAI
12 papers receiving 889 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Reproductive Medicine 639
- Endocrinology, Diabetes and Metabolism 337
- Public Health, Environmental and Occupational Health 254
- Genetics 161
- Immunology 107
Countries citing papers authored by C. C. TSAI
This map shows the geographic impact of C. C. 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 C. C. TSAI with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. C. TSAI more than expected).
Fields of papers citing papers by C. C. TSAI
This network shows the impact of papers produced by C. C. 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 C. C. TSAI. The network helps show where C. C. TSAI may publish in the future.
Co-authorship network of co-authors of C. C. TSAI
This figure shows the co-authorship network connecting the top 25 collaborators of C. C. TSAI. A scholar is included among the top collaborators of C. C. 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 C. C. TSAI. C. C. 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 | 0 | |
| 2 | 18 | |
| 3 | 33 | |
| 4 | 65 | |
| 5 | Pulsatile Patterns of Gonadotropin Release in Subjects with and without Ovarian Functionbreakdown → | 348 |
| 6 | 91 | |
| 7 | 92 | |
| 8 | 87 | |
| 9 | 63 | |
| 10 | 84 | |
| 11 | 51 | |
| 12 | 42 | |
| 13 | 32 |
About C. C. TSAI
C. C. TSAI is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Agronomy and Crop Science, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ovarian function and disorders (8 papers), Reproductive Biology and Fertility (3 papers) and Reproductive Physiology in Livestock (3 papers). The work is most often cited by research in Reproductive Medicine (639 citations), Endocrinology, Diabetes and Metabolism (337 citations) and Behavioral Neuroscience (66 citations). C. C. TSAI has collaborated with scholars based in United States, China and Japan. Frequent co-authors include S. S. C. YEN, Frederick Naftolin, Grant W. Vandenberg, L. N. Ajabor, Patricio A. Vela, Robert W. Rebar, DONAL C. PARKER, Therese Vargo, Wooseok Seo and Daisuke Ono. Their work appears in journals such as Journal of Clinical Investigation, Journal of Neuroscience and The Journal of Clinical Endocrinology & Metabolism.
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.