Fan Jin
Impact in
- Reproductive Medicine top 0.5%
- Oncology top 1%
- Cancer Risks and Factors
- Global Cancer Incidence and Screening
Papers in
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- Sperm and Testicular Function 17
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- Prenatal Screening and Diagnostics 29
- Assisted Reproductive Technology and Twin Pregnancy 19
- Birth, Development, and Health 14
Fan Jin
221 papers receiving 9.2k citations
Peers
Comparison fields: 5 of 179
- Reproductive Medicine 1.0k
- Oncology 2.6k
- Pathology and Forensic Medicine 1.5k
- Endocrinology, Diabetes and Metabolism 1.4k
- Public Health, Environmental and Occupational Health 2.3k
Countries citing papers authored by Fan Jin
This map shows the geographic impact of Fan Jin'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 Fan Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Jin more than expected).
Fields of papers citing papers by Fan Jin
This network shows the impact of papers produced by Fan Jin. 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 Fan Jin. The network helps show where Fan Jin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fan Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 18 | |
| 5 | 2020 | 4 | |
| 6 | 2019 | 19 | |
| 7 | 2019 | 5 | |
| 8 | 2018 | 1 | |
| 9 | 2018 | 9 | |
| 10 | 2018 | 22 | |
| 11 | 2014 | 4 | |
| 12 | 2013 | 26 | |
| 13 | 2006 | 28 | |
| 14 | 2006 | 16 | |
| 15 | 2006 | 66 | |
| 16 | A population-based case-control study of the Arg399Gln polymorphism in DNA repair gene XRCC1 and risk of breast cancer. | 2003 | 68 |
| 17 | Urinary Phytoestrogen Excretion and Breast Cancer Risk | 2003 | 1 |
| 18 | 2002 | 1 | |
| 19 | Epidemiological study of urinary 6beta-hydroxycortisol to cortisol ratios and breast cancer risk. | 2001 | 29 |
| 20 | 1994 | 111 |
About Fan Jin
Fan Jin is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health and Genetics, having authored 225 papers that have together received 9.5k indexed citations. Recurring topics across this work include Cancer Risks and Factors (32 papers), Prenatal Screening and Diagnostics (29 papers), Reproductive Biology and Fertility (27 papers), Estrogen and related hormone effects (21 papers), Assisted Reproductive Technology and Twin Pregnancy (19 papers), Nutritional Studies and Diet (18 papers), Sperm and Testicular Function (17 papers) and Birth, Development, and Health (14 papers). The work is most often cited by research in Reproductive Medicine (1.0k citations), Oncology (2.6k citations), Pathology and Forensic Medicine (1.5k citations), Endocrinology, Diabetes and Metabolism (1.4k citations) and Public Health, Environmental and Occupational Health (2.3k citations). Fan Jin has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Wei Zheng, Yu‐Tang Gao, Xiao‐Ou Shu, Qi Dai, Wanqing Wen, Gong Yang, Lawrence H. Kushi, Zhi-Xian Ruan, Xiao Ou Shu and Qiuyin Cai. Their work appears in journals such as Cancer Causes & Control, International Journal of Cancer, Fertility and Sterility, Journal of Zhejiang University SCIENCE B and Cancer Epidemiology Biomarkers & Prevention.
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.