Yun Feng
- Molecular Biology top 10%
- Immunology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Public Health, Environmental and Occupational Health top 10%
- Reproductive Medicine top 5%
- Topics
- Market Dynamics and Volatility (14 papers)Reproductive Biology and Fertility (8 papers)COVID-19 Clinical Research Studies (8 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yun Feng
96 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 144
- Molecular Biology 709
- Immunology 255
- Pulmonary and Respiratory Medicine 252
- Public Health, Environmental and Occupational Health 238
- Reproductive Medicine 232
Countries citing papers authored by Yun Feng
This map shows the geographic impact of Yun Feng'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 Yun Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Feng more than expected).
Fields of papers citing papers by Yun Feng
This network shows the impact of papers produced by Yun Feng. 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 Yun Feng. The network helps show where Yun Feng may publish in the future.
Co-authorship network of co-authors of Yun Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Yun Feng. A scholar is included among the top collaborators of Yun Feng 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 Yun Feng. Yun Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 27 | |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 30 | |
| 16 | 12 | |
| 17 | Observations on the Efficacy of Auricular Point Plaster Therapy plus 5-HT3 Receptor Antagonists in Treating Chemotherapy-induced Vomiting | 3 |
| 18 | Decomposing and valuing callable convertible bonds: a new method based on exotic options | 0 |
| 19 | The Economic-cost Model about Laundering-money Abnormal Transfer Paths in the Financial Network | 1 |
| 20 | [Isolation and purification of an antibacterial polypeptide from human cervical mucus]. | 0 |
About Yun Feng
Yun Feng is a scholar working on Finance, General Energy and General Economics, Econometrics and Finance, having authored 106 papers that have together received 2.0k indexed citations. Recurring topics across this work include Market Dynamics and Volatility (14 papers), Reproductive Biology and Fertility (8 papers) and COVID-19 Clinical Research Studies (8 papers). The work is most often cited by research in Reproductive Medicine (232 citations), Cancer Research (216 citations) and Immunology (255 citations). Yun Feng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhihong Niu, Lujing Ren, He Huang, Liang Qu, Wan Huan-ying, Qing Yun Li, Yijuan Sun, Ruihuan Gu, Qianqian Tong and Pingkai Ouyang. Their work appears in journals such as Molecular Cell, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.