Hsin‐Fang Chung
- Endocrinology, Diabetes and Metabolism top 2%
- Public Health, Environmental and Occupational Health top 5%
- Genetics top 10%
- Reproductive Medicine top 5%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Gita D. MishraAnnette J. DobsonNirmala PandeyaElisabete WeiderpassMichael WallerFiona BruinsmaGraham G. GilesEric J. Brunner
- Topics
- Menopause: Health Impacts and Treatments (17 papers)Estrogen and related hormone effects (15 papers)Phytoestrogen effects and research (8 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaDiabetes Care
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Hsin‐Fang Chung
45 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 96
- Endocrinology, Diabetes and Metabolism 497
- Public Health, Environmental and Occupational Health 288
- Genetics 257
- Reproductive Medicine 230
- Pathology and Forensic Medicine 138
Countries citing papers authored by Hsin‐Fang Chung
This map shows the geographic impact of Hsin‐Fang Chung'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 Hsin‐Fang Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin‐Fang Chung more than expected).
Fields of papers citing papers by Hsin‐Fang Chung
This network shows the impact of papers produced by Hsin‐Fang Chung. 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 Hsin‐Fang Chung. The network helps show where Hsin‐Fang Chung may publish in the future.
Co-authorship network of co-authors of Hsin‐Fang Chung
This figure shows the co-authorship network connecting the top 25 collaborators of Hsin‐Fang Chung. A scholar is included among the top collaborators of Hsin‐Fang Chung 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 Hsin‐Fang Chung. Hsin‐Fang Chung 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 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 32 | |
| 6 | 7 | |
| 7 | 11 | |
| 8 | 25 | |
| 9 | 15 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 17 | |
| 13 | 14 | |
| 14 | 61 | |
| 15 | 30 | |
| 16 | 84 | |
| 17 | 6 | |
| 18 | 161 | |
| 19 | 17 | |
| 20 | 32 |
About Hsin‐Fang Chung
Hsin‐Fang Chung is a scholar working on Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (17 papers), Estrogen and related hormone effects (15 papers) and Phytoestrogen effects and research (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (497 citations), Reproductive Medicine (230 citations) and Obstetrics and Gynecology (122 citations). Hsin‐Fang Chung has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Gita D. Mishra, Annette J. Dobson, Nirmala Pandeya, Elisabete Weiderpass, Michael Waller, Fiona Bruinsma, Graham G. Giles, Eric J. Brunner, Janet Cade and Darren C. Greenwood. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and Diabetes Care.
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.