Pan Chen
Impact in
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- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
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- RNA Research and Splicing
- Nuclear Structure and Function
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
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- Nuclear Structure and Function 9
- RNA Research and Splicing 9
- Genomics and Chromatin Dynamics 7
- RNA modifications and cancer 5
- Circular RNAs in diseases 2
- Oncology 3
- Peptidase Inhibition and Analysis 3
- Co-authors
- Daniel L. Levy (9 shared papers)Predrag Jevtić (2 shared papers)Xiaoyang Li (1 shared paper)Lisa J. Edens (1 shared paper)John Oakey (2 shared papers)Junjie Wang (1 shared paper)Miroslav Tomschik (1 shared paper)Jesse C. Gatlin (1 shared paper)
- Journals
- Molecular Cancer (2 papers)Oncogene (2 papers)Molecular Biology of the Cell (2 papers)Cell Death Discovery (1 paper)Blood (1 paper)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Pan Chen
18 papers receiving 312 citations
Peers
Comparison fields: 5 of 64
- Cell Biology 65
- Molecular Biology 239
- Aging 4
- Biophysics 8
- Immunology 26
Countries citing papers authored by Pan Chen
This map shows the geographic impact of Pan 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 Pan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Chen more than expected).
Fields of papers citing papers by Pan Chen
This network shows the impact of papers produced by Pan 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 Pan Chen. The network helps show where Pan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan 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 | 2016 | 70 | |
| 2 | 2015 | 57 | |
| 3 | 2022 | 31 | |
| 4 | 2017 | 29 | |
| 5 | 2019 | 28 | |
| 6 | 2024 | 22 | |
| 7 | 2022 | 16 | |
| 8 | 2024 | 13 | |
| 9 | 2018 | 12 | |
| 10 | 2019 | 9 | |
| 11 | 2021 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2025 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 |
About Pan Chen
Pan Chen is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Ecology, having authored 19 papers that have together received 314 indexed citations. Recurring topics across this work include Nuclear Structure and Function (9 papers), RNA Research and Splicing (9 papers), Genomics and Chromatin Dynamics (7 papers), RNA modifications and cancer (5 papers), Peptidase Inhibition and Analysis (3 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (1 paper). The work is most often cited by research in Cell Biology (65 citations), Molecular Biology (239 citations), Aging (4 citations), Biophysics (8 citations) and Immunology (26 citations). Pan Chen has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Daniel L. Levy, Predrag Jevtić, Xiaoyang Li, Lisa J. Edens, John Oakey, Junjie Wang, Miroslav Tomschik, Jesse C. Gatlin, Katherine M. Nelson and Minghua Yang. Their work appears in journals such as Molecular Cancer, Oncogene, Molecular Biology of the Cell, Cell Death Discovery and Blood.
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.