Hsiang‐Tai Chao
- Reproductive Medicine top 0.5%
- Public Health, Environmental and Occupational Health top 2%
- Molecular Biology
- Obstetrics and Gynecology top 2%
- Genetics top 10%
- Co-authors
- Peng‐Hui WangYau‐Huei WeiShu‐Huei KaoChiou‐Chung YuanWen-Ling LeeHeung‐Tat NgHaw‐Wen ChenThomas I.S. Hwang
- Topics
- Ovarian cancer diagnosis and treatment (9 papers)Reproductive Biology and Fertility (7 papers)Ovarian function and disorders (7 papers)
- Cited by
- Reproductive MedicineObstetrics and GynecologyPublic Health, Environmental and Occupational Health
- Journals
- Proceedings of the National Academy of SciencesPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- TaiwanUnited StatesAustralia
In The Last Decade
Hsiang‐Tai Chao
47 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 108
- Reproductive Medicine 902
- Public Health, Environmental and Occupational Health 609
- Molecular Biology 415
- Obstetrics and Gynecology 377
- Genetics 252
Countries citing papers authored by Hsiang‐Tai Chao
This map shows the geographic impact of Hsiang‐Tai Chao'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 Hsiang‐Tai Chao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsiang‐Tai Chao more than expected).
Fields of papers citing papers by Hsiang‐Tai Chao
This network shows the impact of papers produced by Hsiang‐Tai Chao. 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 Hsiang‐Tai Chao. The network helps show where Hsiang‐Tai Chao may publish in the future.
Co-authorship network of co-authors of Hsiang‐Tai Chao
This figure shows the co-authorship network connecting the top 25 collaborators of Hsiang‐Tai Chao. A scholar is included among the top collaborators of Hsiang‐Tai Chao 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 Hsiang‐Tai Chao. Hsiang‐Tai Chao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 31 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 45 | |
| 7 | 64 | |
| 8 | 223 | |
| 9 | 8 | |
| 10 | 10 | |
| 11 | 8 | |
| 12 | 43 | |
| 13 | Wound endometriosis: risk factor evaluation and treatment. | 30 |
| 14 | 23 | |
| 15 | 20 | |
| 16 | 51 | |
| 17 | 7 | |
| 18 | 102 | |
| 19 | 1 | |
| 20 | 63 |
About Hsiang‐Tai Chao
Hsiang‐Tai Chao is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Behavioral Neuroscience, having authored 47 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (9 papers), Reproductive Biology and Fertility (7 papers) and Ovarian function and disorders (7 papers). The work is most often cited by research in Reproductive Medicine (902 citations), Obstetrics and Gynecology (377 citations) and Public Health, Environmental and Occupational Health (609 citations). Hsiang‐Tai Chao has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Peng‐Hui Wang, Yau‐Huei Wei, Shu‐Huei Kao, Chiou‐Chung Yuan, Wen-Ling Lee, Heung‐Tat Ng, Peng‐Hui Wang, Haw‐Wen Chen, Thomas I.S. Hwang and Ming-Huei Cheng. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE 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.