Ke Wan
Impact in
- Aging top 5%
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
- Cancer-related gene regulation
- Histone Deacetylase Inhibitors Research
- Genomics and Chromatin Dynamics
Papers in
-
- DNA Repair Mechanisms 4
- Genomics and Chromatin Dynamics 2
- CRISPR and Genetic Engineering 2
-
- Plant Molecular Biology Research 2
- Co-authors
- Ming Lei (6 shared papers)Yuting Yang (4 shared papers)Yong Chen (3 shared papers)Bingbing Wan (3 shared papers)Yi Zhang (1 shared paper)Feng Wang (1 shared paper)Ming Lei (1 shared paper)Kenichi Yamane (1 shared paper)
- Journals
- Aquaculture (1 paper)Cell Research (1 paper)Cell Reports (1 paper)Nucleic Acids Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ke Wan
17 papers receiving 804 citations
Peers
Comparison fields: 5 of 82
- Aging 45
- Molecular Biology 642
- Physiology 188
- Hematology 34
- Neurology 44
Countries citing papers authored by Ke Wan
This map shows the geographic impact of Ke Wan'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 Ke Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Wan more than expected).
Fields of papers citing papers by Ke Wan
This network shows the impact of papers produced by Ke Wan. 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 Ke Wan. The network helps show where Ke Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Wan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 228 | |
| 2 | 2012 | 222 | |
| 3 | 2009 | 116 | |
| 4 | 2013 | 97 | |
| 5 | 2010 | 62 | |
| 6 | 2010 | 36 | |
| 7 | 2016 | 16 | |
| 8 | 2021 | 10 | |
| 9 | 2016 | 7 | |
| 10 | 2016 | 5 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2013 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2023 | 0 |
About Ke Wan
Ke Wan is a scholar working on Molecular Biology, Plant Science, Computer Vision and Pattern Recognition, Cell Biology and Physiology, having authored 18 papers that have together received 809 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Microtubule and mitosis dynamics (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Plant Molecular Biology Research (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Genomics and Chromatin Dynamics (2 papers), CRISPR and Genetic Engineering (2 papers) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Aging (45 citations), Molecular Biology (642 citations), Physiology (188 citations), Hematology (34 citations) and Neurology (44 citations). Ke Wan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ming Lei, Yuting Yang, Yong Chen, Bingbing Wan, Yi Zhang, Feng Wang, Ming Lei, Kenichi Yamane, Neal F. Lue and Natalia A. Veniaminova. Their work appears in journals such as Aquaculture, Cell Research, Cell Reports, Nucleic Acids Research 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.