Hsien‐An Pan
- Reproductive Medicine top 1%
- Public Health, Environmental and Occupational Health top 5%
- Genetics top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Meng‐Hsing WuPao‐Lin KuoChao‐Chin HsuFong‐Ming ChangYing‐Hung LinBor-Lin YaoKo-En HuangChing-Chang Lee
- Topics
- Reproductive Biology and Fertility (14 papers)Ovarian function and disorders (11 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (11 papers)
- Cited by
- Reproductive MedicineObstetrics and GynecologyPublic Health, Environmental and Occupational Health
- Partner nations
- TaiwanUnited StatesEgypt
In The Last Decade
Hsien‐An Pan
44 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Reproductive Medicine 496
- Public Health, Environmental and Occupational Health 426
- Genetics 302
- Molecular Biology 267
- Endocrinology, Diabetes and Metabolism 192
Countries citing papers authored by Hsien‐An Pan
This map shows the geographic impact of Hsien‐An Pan'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 Hsien‐An Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsien‐An Pan more than expected).
Fields of papers citing papers by Hsien‐An Pan
This network shows the impact of papers produced by Hsien‐An Pan. 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 Hsien‐An Pan. The network helps show where Hsien‐An Pan may publish in the future.
Co-authorship network of co-authors of Hsien‐An Pan
This figure shows the co-authorship network connecting the top 25 collaborators of Hsien‐An Pan. A scholar is included among the top collaborators of Hsien‐An Pan 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 Hsien‐An Pan. Hsien‐An Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 62 | |
| 4 | 10 | |
| 5 | 23 | |
| 6 | 2 | |
| 7 | 29 | |
| 8 | 16 | |
| 9 | 33 | |
| 10 | 80 | |
| 11 | 25 | |
| 12 | 12 | |
| 13 | 11 | |
| 14 | 19 | |
| 15 | 27 | |
| 16 | 1 | |
| 17 | 18 | |
| 18 | 90 | |
| 19 | 122 | |
| 20 | 4 |
About Hsien‐An Pan
Hsien‐An Pan is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Genetics, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (14 papers), Ovarian function and disorders (11 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (11 papers). The work is most often cited by research in Reproductive Medicine (496 citations), Obstetrics and Gynecology (135 citations) and Public Health, Environmental and Occupational Health (426 citations). Hsien‐An Pan has collaborated with scholars based in Taiwan, United States and Egypt. Frequent co-authors include Meng‐Hsing Wu, Pao‐Lin Kuo, Chao‐Chin Hsu, Fong‐Ming Chang, Ying‐Hung Lin, Bor-Lin Yao, Ko-En Huang, Ching-Chang Lee, Wei‐Hsiang Chang and Shaw‐Jenq Tsai. Their work appears in journals such as Chemosphere, American Journal of Obstetrics and Gynecology and American Journal Of Pathology.
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.