Feng Wang
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Reproductive Medicine top 2%
Papers in
-
- Epigenetics and DNA Methylation 32
- RNA modifications and cancer 18
- Genetics 58
- Genetic and phenotypic traits in livestock 23
- Animal Genetics and Reproduction 21
- Co-authors
- Yanli Zhang (70 shared papers)Yongjie Wan (45 shared papers)Guomin Zhang (38 shared papers)Yixuan Fan (40 shared papers)Mingtian Deng (35 shared papers)Kaiping Deng (28 shared papers)Zifei Liu (30 shared papers)Hua Yang (28 shared papers)
- Journals
- Theriogenology (38 papers)PLoS ONE (8 papers)Animal Reproduction Science (6 papers)The FASEB Journal (6 papers)Biology (6 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Feng Wang
315 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 150
- Cancer Research 694
- Reproductive Medicine 351
- Aging 77
- Agronomy and Crop Science 358
- Molecular Biology 2.3k
Countries citing papers authored by Feng Wang
This map shows the geographic impact of Feng Wang'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 Feng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Wang more than expected).
Fields of papers citing papers by Feng Wang
This network shows the impact of papers produced by Feng Wang. 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 Feng Wang. The network helps show where Feng Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Wang, 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 327 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 308 | |
| 2 | 2017 | 194 | |
| 3 | 2014 | 167 | |
| 4 | 2011 | 154 | |
| 5 | 2013 | 144 | |
| 6 | 2007 | 136 | |
| 7 | 2016 | 85 | |
| 8 | 2017 | 85 | |
| 9 | 2011 | 79 | |
| 10 | 2008 | 77 | |
| 11 | 2010 | 72 | |
| 12 | 2014 | 65 | |
| 13 | 2014 | 65 | |
| 14 | 2017 | 65 | |
| 15 | 2017 | 63 | |
| 16 | 2020 | 56 | |
| 17 | 2017 | 55 | |
| 18 | 2021 | 54 | |
| 19 | 2014 | 53 | |
| 20 | 2019 | 52 |
About Feng Wang
Feng Wang is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Agronomy and Crop Science and Cancer Research, having authored 327 papers that have together received 5.3k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (47 papers), Epigenetics and DNA Methylation (32 papers), Genetic and phenotypic traits in livestock (23 papers), Cancer-related molecular mechanisms research (21 papers), Animal Genetics and Reproduction (21 papers), Reproductive Physiology in Livestock (21 papers), RNA modifications and cancer (18 papers) and Reproductive System and Pregnancy (15 papers). The work is most often cited by research in Cancer Research (694 citations), Reproductive Medicine (351 citations), Aging (77 citations), Agronomy and Crop Science (358 citations) and Molecular Biology (2.3k citations). Feng Wang has collaborated with scholars based in China, United States and India. Frequent co-authors include Yanli Zhang, Yongjie Wan, Guomin Zhang, Yixuan Fan, Mingtian Deng, Kaiping Deng, Zifei Liu, Hua Yang, Xiaolei Yao and Ziyu Wang. Their work appears in journals such as Theriogenology, PLoS ONE, Animal Reproduction Science, The FASEB Journal and Biology.
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.