Caifeng Wu
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Ovarian function and disorders
- Physiology top 10%
Papers in
-
- Reproductive Biology and Fertility 17
- Obesity, Physical Activity, Diet 3
-
- Renal and related cancers 4
- Co-authors
- Jianjun Dai (26 shared papers)Shushan Zhang (18 shared papers)Defu Zhang (15 shared papers)Lingwei Sun (21 shared papers)Rui Rong (3 shared papers)Ying‐Fang Niu (3 shared papers)Yingchong Wang (3 shared papers)Hui-jun Yin (7 shared papers)
- Journals
- Animals (5 papers)Chinese Journal of Integrative Medicine (4 papers)Cryobiology (3 papers)Foods (2 papers)Reproduction in Domestic Animals (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Caifeng Wu
42 papers receiving 744 citations
Peers
Comparison fields: 5 of 95
- Reproductive Medicine 209
- Physiology 48
- Public Health, Environmental and Occupational Health 268
- Complementary and alternative medicine 64
- Immunology 157
Countries citing papers authored by Caifeng Wu
This map shows the geographic impact of Caifeng Wu'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 Caifeng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caifeng Wu more than expected).
Fields of papers citing papers by Caifeng Wu
This network shows the impact of papers produced by Caifeng Wu. 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 Caifeng Wu. The network helps show where Caifeng Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Caifeng Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 172 | |
| 2 | 2015 | 100 | |
| 3 | 2020 | 63 | |
| 4 | 2015 | 40 | |
| 5 | 2019 | 32 | |
| 6 | 2022 | 27 | |
| 7 | 2010 | 24 | |
| 8 | 2021 | 24 | |
| 9 | 2021 | 21 | |
| 10 | 2018 | 19 | |
| 11 | 2021 | 18 | |
| 12 | 2022 | 16 | |
| 13 | 2016 | 15 | |
| 14 | 2020 | 14 | |
| 15 | 2021 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2009 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2011 | 11 | |
| 20 | 2022 | 10 |
About Caifeng Wu
Caifeng Wu is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Reproductive Medicine, Immunology and Epidemiology, having authored 43 papers that have together received 755 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (17 papers), Sperm and Testicular Function (11 papers), Atherosclerosis and Cardiovascular Diseases (6 papers), Traditional Chinese Medicine Analysis (5 papers), Meat and Animal Product Quality (4 papers), Renal and related cancers (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Obesity, Physical Activity, Diet (3 papers). The work is most often cited by research in Reproductive Medicine (209 citations), Physiology (48 citations), Public Health, Environmental and Occupational Health (268 citations), Complementary and alternative medicine (64 citations) and Immunology (157 citations). Caifeng Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jianjun Dai, Shushan Zhang, Defu Zhang, Lingwei Sun, Rui Rong, Ying‐Fang Niu, Yingchong Wang, Hui-jun Yin, Jianguo Wu and Dingwen Hu. Their work appears in journals such as Animals, Chinese Journal of Integrative Medicine, Cryobiology, Foods and Reproduction in Domestic Animals.
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.