Chung-Hsiu Wu
- Endocrinology, Diabetes and Metabolism top 10%
- Reproductive Medicine top 5%
- Genetics
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Co-authors
- Laurence E. LundyGeorge L. FlickingerGeorge R. MikhailJoseph C. TouchstoneHarriet G. AdelsonJerome H. CheckDavid F. ArcherAmnon David
- Topics
- Estrogen and related hormone effects (8 papers)Ovarian function and disorders (4 papers)Hormonal and reproductive studies (3 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismAmerican Journal of Obstetrics and GynecologyJournal of Chromatography A
- Partner nations
- United StatesTaiwan
In The Last Decade
Chung-Hsiu Wu
20 papers receiving 508 citations
Peers
Comparison fields: 5 of 95
- Endocrinology, Diabetes and Metabolism 189
- Reproductive Medicine 175
- Genetics 144
- Public Health, Environmental and Occupational Health 116
- Molecular Biology 83
Countries citing papers authored by Chung-Hsiu Wu
This map shows the geographic impact of Chung-Hsiu Wu'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 Chung-Hsiu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung-Hsiu Wu more than expected).
Fields of papers citing papers by Chung-Hsiu Wu
This network shows the impact of papers produced by Chung-Hsiu Wu. 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 Chung-Hsiu Wu. The network helps show where Chung-Hsiu Wu may publish in the future.
Co-authorship network of co-authors of Chung-Hsiu Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Chung-Hsiu Wu. A scholar is included among the top collaborators of Chung-Hsiu Wu 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 Chung-Hsiu Wu. Chung-Hsiu Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | The efficacy of progesterone in achieving successful pregnancy: I. Prophylactic use during luteal phase in anovulatory women. | 12 |
| 3 | 18 | |
| 4 | Decreased abortions in HMG-induced pregnancies with prophylactic progesterone therapy. | 9 |
| 5 | 13 | |
| 6 | 72 | |
| 7 | 6 | |
| 8 | 18 | |
| 9 | 15 | |
| 10 | 3 | |
| 11 | 31 | |
| 12 | 0 | |
| 13 | 262 | |
| 14 | 3 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 67 | |
| 18 | 4 | |
| 19 | 4 | |
| 20 | 4 |
About Chung-Hsiu Wu
Chung-Hsiu Wu is a scholar working on Reproductive Medicine, Animal Science and Zoology and Genetics, having authored 21 papers that have together received 553 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (8 papers), Ovarian function and disorders (4 papers) and Hormonal and reproductive studies (3 papers). The work is most often cited by research in Reproductive Medicine (175 citations), Endocrinology, Diabetes and Metabolism (189 citations) and Behavioral Neuroscience (32 citations). Chung-Hsiu Wu has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Laurence E. Lundy, George L. Flickinger, George R. Mikhail, Joseph C. Touchstone, Harriet G. Adelson, Jerome H. Check, David F. Archer, Amnon David, P. Knapstein and David Pearlmutter. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, American Journal of Obstetrics and Gynecology 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.