Feiyang Diao
- Public Health, Environmental and Occupational Health top 5%
- Reproductive Medicine top 2%
- Obstetrics and Gynecology top 2%
- Molecular Biology
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Jiayin LiuYugui CuiZhibin HuXiaoyu YangPing XiaChaojun LiYan WangYun Liu
- Topics
- Reproductive Biology and Fertility (17 papers)Ovarian function and disorders (17 papers)Assisted Reproductive Technology and Twin Pregnancy (11 papers)
- Cited by
- Reproductive MedicineObstetrics and GynecologyPublic Health, Environmental and Occupational Health
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismBiochemical and Biophysical Research Communications
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Feiyang Diao
47 papers receiving 784 citations
Peers
Comparison fields: 5 of 88
- Public Health, Environmental and Occupational Health 277
- Reproductive Medicine 277
- Obstetrics and Gynecology 230
- Molecular Biology 192
- Pediatrics, Perinatology and Child Health 153
Countries citing papers authored by Feiyang Diao
This map shows the geographic impact of Feiyang Diao'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 Feiyang Diao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feiyang Diao more than expected).
Fields of papers citing papers by Feiyang Diao
This network shows the impact of papers produced by Feiyang Diao. 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 Feiyang Diao. The network helps show where Feiyang Diao may publish in the future.
Co-authorship network of co-authors of Feiyang Diao
This figure shows the co-authorship network connecting the top 25 collaborators of Feiyang Diao. A scholar is included among the top collaborators of Feiyang Diao 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 Feiyang Diao. Feiyang Diao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 20 | |
| 12 | 12 | |
| 13 | 26 | |
| 14 | 8 | |
| 15 | 39 | |
| 16 | 7 | |
| 17 | 13 | |
| 18 | 31 | |
| 19 | 30 | |
| 20 | 42 |
About Feiyang Diao
Feiyang Diao is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 53 papers that have together received 799 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (17 papers), Ovarian function and disorders (17 papers) and Assisted Reproductive Technology and Twin Pregnancy (11 papers). The work is most often cited by research in Reproductive Medicine (277 citations), Obstetrics and Gynecology (230 citations) and Public Health, Environmental and Occupational Health (277 citations). Feiyang Diao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jiayin Liu, Yugui Cui, Zhibin Hu, Xiaoyu Yang, Ping Xia, Chaojun Li, Yan Wang, Yun Liu, Ci Song and Weiqin Li. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Biochemical and Biophysical Research Communications.
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.