Feng Wang
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 5%
- Telomeres, Telomerase, and Senescence
Papers in
-
- DNA Repair Mechanisms 14
- Ubiquitin and proteasome pathways 7
- CRISPR and Genetic Engineering 7
- Advanced biosensing and bioanalysis techniques 6
- Physiology 25
- Telomeres, Telomerase, and Senescence 17
- Co-authors
- Carolyn Mary Price (5 shared papers)Jason A. Stewart (5 shared papers)Mary F. Chaiken (2 shared papers)Christopher Kasbek (3 shared papers)Woodring Erik Wright (2 shared papers)Yong Bo Zhao (4 shared papers)Paul D. Chastain (1 shared paper)Tsui‐Fen Chou (10 shared papers)
- Journals
- Nature Communications (5 papers)Advanced Science (4 papers)Scientific Reports (4 papers)Frontiers in Microbiology (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Feng Wang
132 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 150
- Aging 132
- Physiology 658
- Molecular Biology 1.8k
- Cell Biology 287
- Cancer Research 240
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 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 173 | |
| 2 | 2011 | 167 | |
| 3 | 2012 | 165 | |
| 4 | 2012 | 146 | |
| 5 | 2022 | 128 | |
| 6 | 2012 | 119 | |
| 7 | 2018 | 108 | |
| 8 | 2011 | 90 | |
| 9 | 2020 | 88 | |
| 10 | 2010 | 87 | |
| 11 | 2013 | 65 | |
| 12 | 2016 | 63 | |
| 13 | 2008 | 57 | |
| 14 | 2022 | 53 | |
| 15 | 2013 | 51 | |
| 16 | 2018 | 50 | |
| 17 | 2007 | 49 | |
| 18 | 2012 | 47 | |
| 19 | 2014 | 46 | |
| 20 | 2018 | 44 |
About Feng Wang
Feng Wang is a scholar working on Molecular Biology, Physiology, Cell Biology, Cancer Research and Rheumatology, having authored 141 papers that have together received 3.4k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (17 papers), DNA Repair Mechanisms (14 papers), Endoplasmic Reticulum Stress and Disease (12 papers), Ubiquitin and proteasome pathways (7 papers), CRISPR and Genetic Engineering (7 papers), Autophagy in Disease and Therapy (6 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Plant-Microbe Interactions and Immunity (6 papers). The work is most often cited by research in Aging (132 citations), Physiology (658 citations), Molecular Biology (1.8k citations), Cell Biology (287 citations) and Cancer Research (240 citations). Feng Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Carolyn Mary Price, Jason A. Stewart, Mary F. Chaiken, Christopher Kasbek, Woodring Erik Wright, Yong Bo Zhao, Paul D. Chastain, Tsui‐Fen Chou, Bing Cui and Xiaowei Zhang. Their work appears in journals such as Nature Communications, Advanced Science, Scientific Reports, Frontiers in Microbiology and Proceedings of the National Academy of Sciences.
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.