Kaifu Chen
Impact in
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine
- Aging top 2%
Papers in
-
- Genomics and Chromatin Dynamics 26
- Epigenetics and DNA Methylation 24
- RNA modifications and cancer 11
- RNA Research and Splicing 10
- DNA Repair Mechanisms 8
- Single-cell and spatial transcriptomics 8
- RNA and protein synthesis mechanisms 8
- CRISPR and Genetic Engineering 8
- Co-authors
- Wei Li (19 shared papers)Yuanxin Xi (4 shared papers)Jessica K. Tyler (6 shared papers)Zheng Xia (4 shared papers)Xuewen Pan (5 shared papers)Or Gozani (2 shared papers)Mitomu Kioi (2 shared papers)Benjamin A. García (2 shared papers)
- Journals
- Nucleic Acids Research (11 papers)Nature Communications (8 papers)Circulation (7 papers)Molecular Cell (4 papers)eLife (4 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Kaifu Chen
86 papers receiving 4.5k citations
Kaifu Chen's Hit Papers
Peers
Comparison fields: 5 of 126
- Geriatrics and Gerontology 344
- Aging 109
- Molecular Biology 3.3k
- Cancer Research 465
- Physiology 99
Countries citing papers authored by Kaifu Chen
This map shows the geographic impact of Kaifu Chen'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 Kaifu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaifu Chen more than expected).
Fields of papers citing papers by Kaifu Chen
This network shows the impact of papers produced by Kaifu Chen. 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 Kaifu Chen. The network helps show where Kaifu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaifu Chen, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SIRT7 links H3K18 deacetylation to maintenance of oncogenic transformation Hit paper breakdown → | 2012 | 484 |
| 2 | 2011 | 327 | |
| 3 | 2012 | 301 | |
| 4 | 2015 | 266 | |
| 5 | 2010 | 264 | |
| 6 | 2014 | 224 | |
| 7 | 2015 | 217 | |
| 8 | 2012 | 196 | |
| 9 | 2012 | 158 | |
| 10 | 2018 | 127 | |
| 11 | 2015 | 126 | |
| 12 | 2018 | 110 | |
| 13 | 2016 | 105 | |
| 14 | 2018 | 100 | |
| 15 | 2018 | 90 | |
| 16 | 2023 | 80 | |
| 17 | 2017 | 76 | |
| 18 | 2014 | 65 | |
| 19 | 2018 | 64 | |
| 20 | 2018 | 62 |
About Kaifu Chen
Kaifu Chen is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Cell Biology, having authored 91 papers that have together received 4.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (26 papers), Epigenetics and DNA Methylation (24 papers), RNA modifications and cancer (11 papers), RNA Research and Splicing (10 papers), DNA Repair Mechanisms (8 papers), Single-cell and spatial transcriptomics (8 papers), RNA and protein synthesis mechanisms (8 papers) and CRISPR and Genetic Engineering (8 papers). The work is most often cited by research in Geriatrics and Gerontology (344 citations), Aging (109 citations), Molecular Biology (3.3k citations), Cancer Research (465 citations) and Physiology (99 citations). Kaifu Chen has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Wei Li, Yuanxin Xi, Jessica K. Tyler, Zheng Xia, Xuewen Pan, Or Gozani, Mitomu Kioi, Benjamin A. García, Xiaobing Shi and Zhaoyu Li. Their work appears in journals such as Nucleic Acids Research, Nature Communications, Circulation, Molecular Cell and eLife.
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.