Kuang‐Han Chao
- Reproductive Medicine top 0.5%
- Public Health, Environmental and Occupational Health top 2%
- Immunology top 5%
- Obstetrics and Gynecology top 1%
- Pediatrics, Perinatology and Child Health top 5%
- Co-authors
- Yu‐Shih YangHong‐Nerng HoShee‐Uan ChenMing‐Yih WuChin‐Der ChenHsin‐Fu ChenJehn‐Hsiahn YangYih‐Ron Lien
- Topics
- Reproductive Biology and Fertility (31 papers)Reproductive System and Pregnancy (25 papers)Ovarian function and disorders (19 papers)
- Partner nations
- TaiwanUnited States
In The Last Decade
Kuang‐Han Chao
76 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 100
- Reproductive Medicine 1.4k
- Public Health, Environmental and Occupational Health 892
- Immunology 882
- Obstetrics and Gynecology 672
- Pediatrics, Perinatology and Child Health 323
Countries citing papers authored by Kuang‐Han Chao
This map shows the geographic impact of Kuang‐Han 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 Kuang‐Han Chao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuang‐Han Chao more than expected).
Fields of papers citing papers by Kuang‐Han Chao
This network shows the impact of papers produced by Kuang‐Han 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 Kuang‐Han Chao. The network helps show where Kuang‐Han Chao may publish in the future.
Co-authorship network of co-authors of Kuang‐Han Chao
This figure shows the co-authorship network connecting the top 25 collaborators of Kuang‐Han Chao. A scholar is included among the top collaborators of Kuang‐Han 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 Kuang‐Han Chao. Kuang‐Han 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 | 6 | |
| 2 | 3 | |
| 3 | 15 | |
| 4 | Non-Volcanic Tremors beneath the Southern Central Range in Taiwan | 1 |
| 5 | 4 | |
| 6 | 23 | |
| 7 | 112 | |
| 8 | 18 | |
| 9 | 44 | |
| 10 | 83 | |
| 11 | 65 | |
| 12 | 18 | |
| 13 | 86 | |
| 14 | 32 | |
| 15 | 6 | |
| 16 | Serum estradiol level and oocyte number in predicting severe ovarian hyperstimulation syndrome. | 29 |
| 17 | 5 | |
| 18 | 94 | |
| 19 | 5 | |
| 20 | 60 |
About Kuang‐Han Chao
Kuang‐Han Chao is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 76 papers that have together received 2.1k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (31 papers), Reproductive System and Pregnancy (25 papers) and Ovarian function and disorders (19 papers). The work is most often cited by research in Reproductive Medicine (1.4k citations), Obstetrics and Gynecology (672 citations) and Immunology (882 citations). Kuang‐Han Chao has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Yu‐Shih Yang, Hong‐Nerng Ho, Shee‐Uan Chen, Ming‐Yih Wu, Chin‐Der Chen, Hsin‐Fu Chen, Jehn‐Hsiahn Yang, Yih‐Ron Lien, Su-Cheng Huang and Mei‐Jou Chen. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.
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.