Chen‐Chun Pai
Impact in
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- DNA Repair Mechanisms
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- Cancer-related gene regulation
Papers in
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- DNA Repair Mechanisms 11
- Fungal and yeast genetics research 5
- Epigenetics and DNA Methylation 4
- CRISPR and Genetic Engineering 3
- Genomics and Chromatin Dynamics 2
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- Microtubule and mitosis dynamics 2
- Co-authors
- Stephen E. Kearsey (8 shared papers)Timothy C. Humphrey (11 shared papers)Sovan Sarkar (6 shared papers)Sophia X. Pfister (3 shared papers)Valentine M. Macaulay (2 shared papers)Anderson Joseph Ryan (2 shared papers)Neele Drobnitzky (2 shared papers)Ioanna Mavrommati (2 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Cancer Cell (1 paper)Journal of Cell Science (1 paper)Cell Reports (1 paper)Methods (1 paper)
- Partner nations
- United KingdomAustriaUnited States
In The Last Decade
Chen‐Chun Pai
14 papers receiving 615 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 525
- Cancer Research 70
- Oncology 118
- Cell Biology 49
- Genetics 24
Countries citing papers authored by Chen‐Chun Pai
This map shows the geographic impact of Chen‐Chun Pai'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 Chen‐Chun Pai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen‐Chun Pai more than expected).
Fields of papers citing papers by Chen‐Chun Pai
This network shows the impact of papers produced by Chen‐Chun Pai. 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 Chen‐Chun Pai. The network helps show where Chen‐Chun Pai may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen‐Chun Pai, 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 | 2015 | 255 | |
| 2 | 2014 | 129 | |
| 3 | 2017 | 118 | |
| 4 | 2017 | 23 | |
| 5 | 2014 | 23 | |
| 6 | 2015 | 22 | |
| 7 | 2019 | 14 | |
| 8 | 2008 | 12 | |
| 9 | 2021 | 9 | |
| 10 | 2019 | 7 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2012 | 3 | |
| 14 | 2005 | 1 | |
| 15 | 2015 | 0 |
About Chen‐Chun Pai
Chen‐Chun Pai is a scholar working on Molecular Biology, Cell Biology, Pathology and Forensic Medicine, Cancer Research and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 622 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (11 papers), Fungal and yeast genetics research (5 papers), Epigenetics and DNA Methylation (4 papers), CRISPR and Genetic Engineering (3 papers), Microtubule and mitosis dynamics (2 papers), Genomics and Chromatin Dynamics (2 papers), Genetic factors in colorectal cancer (2 papers) and Telomeres, Telomerase, and Senescence (1 paper). The work is most often cited by research in Molecular Biology (525 citations), Cancer Research (70 citations), Oncology (118 citations), Cell Biology (49 citations) and Genetics (24 citations). Chen‐Chun Pai has collaborated with scholars based in United Kingdom, Austria and United States. Frequent co-authors include Stephen E. Kearsey, Timothy C. Humphrey, Sovan Sarkar, Sophia X. Pfister, Valentine M. Macaulay, Anderson Joseph Ryan, Neele Drobnitzky, Ioanna Mavrommati, Songmin Ying and Mick Woodcock. Their work appears in journals such as Nucleic Acids Research, Cancer Cell, Journal of Cell Science, Cell Reports and Methods.
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.