Chun-Chin Chen
Impact in
- Oncology top 10%
- PARP inhibition in cancer therapy
Papers in
-
- DNA Repair Mechanisms 7
- CRISPR and Genetic Engineering 7
- Epigenetics and DNA Methylation 3
- Oncology 5
- PARP inhibition in cancer therapy 4
- Co-authors
- Maria Jasin (6 shared papers)Elizabeth M. Kass (3 shared papers)Pei Xin Lim (1 shared paper)Weiran Feng (1 shared paper)Franklin Chau‐Nan Hong (1 shared paper)Chih-Fu Yang (1 shared paper)King‐Jen Chang (2 shared papers)Eva Y.-H.P. Lee (2 shared papers)
- Journals
- Leukemia (3 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Molecular Medicine (1 paper)Blood (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesTaiwanBrazil
In The Last Decade
Chun-Chin Chen
18 papers receiving 885 citations
Peers
Comparison fields: 5 of 84
- Oncology 270
- Cancer Research 122
- Molecular Biology 543
- Biomaterials 92
- Aging 8
Countries citing papers authored by Chun-Chin Chen
This map shows the geographic impact of Chun-Chin 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 Chun-Chin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun-Chin Chen more than expected).
Fields of papers citing papers by Chun-Chin Chen
This network shows the impact of papers produced by Chun-Chin 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 Chun-Chin Chen. The network helps show where Chun-Chin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun-Chin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 225 | |
| 2 | 2012 | 119 | |
| 3 | 2004 | 109 | |
| 4 | 2013 | 82 | |
| 5 | 2004 | 81 | |
| 6 | 2012 | 64 | |
| 7 | 2016 | 64 | |
| 8 | 2017 | 45 | |
| 9 | 2011 | 23 | |
| 10 | 2021 | 17 | |
| 11 | 2021 | 16 | |
| 12 | 2019 | 14 | |
| 13 | 2017 | 12 | |
| 14 | 2024 | 11 | |
| 15 | 2023 | 8 | |
| 16 | 2024 | 2 | |
| 17 | 2002 | 1 | |
| 18 | 2023 | 1 |
About Chun-Chin Chen
Chun-Chin Chen is a scholar working on Molecular Biology, Oncology, Hematology, Genetics and Mechanical Engineering, having authored 18 papers that have together received 894 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), CRISPR and Genetic Engineering (7 papers), Acute Myeloid Leukemia Research (4 papers), PARP inhibition in cancer therapy (4 papers), Epigenetics and DNA Methylation (3 papers), Cancer Genomics and Diagnostics (2 papers), Metal and Thin Film Mechanics (1 paper) and BRCA gene mutations in cancer (1 paper). The work is most often cited by research in Oncology (270 citations), Cancer Research (122 citations), Molecular Biology (543 citations), Biomaterials (92 citations) and Aging (8 citations). Chun-Chin Chen has collaborated with scholars based in United States, Taiwan and Brazil. Frequent co-authors include Maria Jasin, Elizabeth M. Kass, Pei Xin Lim, Weiran Feng, Franklin Chau‐Nan Hong, Chih-Fu Yang, King‐Jen Chang, Eva Y.-H.P. Lee, Jin‐Yuh Shew and Mary Ellen Moynahan. Their work appears in journals such as Leukemia, Proceedings of the National Academy of Sciences, Journal of Molecular Medicine, Blood and The Journal of Experimental Medicine.
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.