Feng Yan
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Molecular Biology top 10%
- Genomics, phytochemicals, and oxidative stress
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Glutathione Transferases and Polymorphisms
- RNA modifications and cancer
- DNA Repair Mechanisms
Papers in
-
- Ubiquitin and proteasome pathways 8
- Genomics and Chromatin Dynamics 6
- Epigenetics and DNA Methylation 5
- Genomics, phytochemicals, and oxidative stress 5
- DNA Repair Mechanisms 4
- Photosynthetic Processes and Mechanisms 4
- Cell Biology 13
- Microtubule and mitosis dynamics 12
- Co-authors
- Michael B. Major (17 shared papers)Dennis Goldfarb (10 shared papers)Priscila F. Siesser (4 shared papers)Bridgid E. Hast (2 shared papers)D. Neil Hayes (2 shared papers)Kathleen M. Mulvaney (1 shared paper)Michael A. Hast (1 shared paper)Yue Xiong (5 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Nature Communications (2 papers)Cancer Research (2 papers)Molecular Cancer Research (2 papers)Science Signaling (2 papers)
- Partner nations
- United StatesChinaRussia
In The Last Decade
Feng Yan
38 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 93
- Cell Biology 358
- Molecular Biology 1.2k
- Physiology 56
- Oncology 244
- Cancer Research 125
Countries citing papers authored by Feng Yan
This map shows the geographic impact of Feng Yan'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 Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Yan more than expected).
Fields of papers citing papers by Feng Yan
This network shows the impact of papers produced by Feng Yan. 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 Yan. The network helps show where Feng Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Yan, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 217 | |
| 2 | 2012 | 108 | |
| 3 | 2016 | 104 | |
| 4 | 2013 | 104 | |
| 5 | 2010 | 70 | |
| 6 | 2008 | 67 | |
| 7 | 2015 | 67 | |
| 8 | 2008 | 66 | |
| 9 | 2014 | 66 | |
| 10 | 2014 | 65 | |
| 11 | 2015 | 65 | |
| 12 | 2014 | 63 | |
| 13 | 2016 | 60 | |
| 14 | 2014 | 48 | |
| 15 | 2009 | 47 | |
| 16 | 2014 | 40 | |
| 17 | 2016 | 35 | |
| 18 | 2017 | 34 | |
| 19 | 2014 | 28 | |
| 20 | 2017 | 26 |
About Feng Yan
Feng Yan is a scholar working on Molecular Biology, Cell Biology, Oncology, Immunology and Plant Science, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (12 papers), Ubiquitin and proteasome pathways (8 papers), Genomics and Chromatin Dynamics (6 papers), Epigenetics and DNA Methylation (5 papers), Genomics, phytochemicals, and oxidative stress (5 papers), DNA Repair Mechanisms (4 papers), Photosynthetic Processes and Mechanisms (4 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Cell Biology (358 citations), Molecular Biology (1.2k citations), Physiology (56 citations), Oncology (244 citations) and Cancer Research (125 citations). Feng Yan has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Michael B. Major, Dennis Goldfarb, Priscila F. Siesser, Bridgid E. Hast, D. Neil Hayes, Kathleen M. Mulvaney, Michael A. Hast, Yue Xiong, Xuebiao Yao and Ning Zheng. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, Cancer Research, Molecular Cancer Research and Science Signaling.
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.