Jiekai Chen
Impact in
- Molecular Biology top 2%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Renal and related cancers
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Aging top 5%
Papers in
-
- Pluripotent Stem Cells Research 34
- CRISPR and Genetic Engineering 27
- RNA modifications and cancer 11
- Genomics and Chromatin Dynamics 11
- Epigenetics and DNA Methylation 11
- Renal and related cancers 10
- RNA Research and Splicing 7
- Co-authors
- Duanqing Pei (30 shared papers)Jing Liu (13 shared papers)Lin Guo (11 shared papers)Dajiang Qin (5 shared papers)Jiangping He (16 shared papers)Miguel A. Esteban (6 shared papers)Dongwei Li (7 shared papers)Wen Li (2 shared papers)
- Journals
- Nature Communications (8 papers)Journal of Biological Chemistry (5 papers)Cell Research (4 papers)Cell Reports (3 papers)Cell stem cell (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jiekai Chen
64 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 2.7k
- Aging 53
- Cancer Research 297
- Genetics 345
- Developmental Neuroscience 37
Countries citing papers authored by Jiekai Chen
This map shows the geographic impact of Jiekai 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 Jiekai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiekai Chen more than expected).
Fields of papers citing papers by Jiekai Chen
This network shows the impact of papers produced by Jiekai 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 Jiekai Chen. The network helps show where Jiekai Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiekai 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 374 | |
| 2 | 2009 | 309 | |
| 3 | 2014 | 237 | |
| 4 | 2013 | 178 | |
| 5 | 2011 | 165 | |
| 6 | 2017 | 152 | |
| 7 | 2010 | 100 | |
| 8 | 2018 | 94 | |
| 9 | 2021 | 92 | |
| 10 | 2020 | 88 | |
| 11 | 2011 | 84 | |
| 12 | 2020 | 76 | |
| 13 | 2020 | 76 | |
| 14 | 2021 | 71 | |
| 15 | 2011 | 70 | |
| 16 | 2023 | 68 | |
| 17 | 2020 | 62 | |
| 18 | 2019 | 58 | |
| 19 | 2011 | 56 | |
| 20 | 2020 | 55 |
About Jiekai Chen
Jiekai Chen is a scholar working on Molecular Biology, Plant Science, Biomedical Engineering, Immunology and Genetics, having authored 66 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (34 papers), CRISPR and Genetic Engineering (27 papers), RNA modifications and cancer (11 papers), Genomics and Chromatin Dynamics (11 papers), Epigenetics and DNA Methylation (11 papers), Renal and related cancers (10 papers), RNA Research and Splicing (7 papers) and 3D Printing in Biomedical Research (7 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Aging (53 citations), Cancer Research (297 citations), Genetics (345 citations) and Developmental Neuroscience (37 citations). Jiekai Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Duanqing Pei, Jing Liu, Lin Guo, Dajiang Qin, Jiangping He, Miguel A. Esteban, Dongwei Li, Wen Li, Jiaqi Yang and You Chen. Their work appears in journals such as Nature Communications, Journal of Biological Chemistry, Cell Research, Cell Reports and Cell stem cell.
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.