Clark Chen
Impact in
- Cancer Research top 5%
- Carcinogens and Genotoxicity Assessment
- MicroRNA in disease regulation
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in ⓘ
- Genetics 16
- Glioma Diagnosis and Treatment 16
- Virus-based gene therapy research 5
-
- Cancer Research and Treatments 4
- Co-authors
- Richard D. Kolodner (5 shared papers)Kyungjae Myung (2 shared papers)Abhijit Datta (1 shared paper)Anindya Dutta (3 shared papers)Yi‐Ling Lin (2 shared papers)Neal Sugawara (1 shared paper)Keiko Umezu (1 shared paper)James E. Haber (1 shared paper)
- Journals
- Neuro-Oncology (17 papers)Journal of Clinical Oncology (3 papers)Neurosurgery (2 papers)Journal of Biological Chemistry (2 papers)Nature Genetics (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Clark Chen
49 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Cancer Research 561
- Genetics 348
- Aging 47
- Molecular Biology 1.6k
- Cell Biology 172
Countries citing papers authored by Clark Chen
This map shows the geographic impact of Clark 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 Clark Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clark Chen more than expected).
Fields of papers citing papers by Clark Chen
This network shows the impact of papers produced by Clark 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 Clark Chen. The network helps show where Clark Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Clark 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 340 | |
| 2 | 2001 | 299 | |
| 3 | 2013 | 283 | |
| 4 | 2001 | 267 | |
| 5 | 1998 | 165 | |
| 6 | Strong‐Proton‐Adsorption Co‐Based Electrocatalysts Achieve Active and Stable Neutral Seawater Splitting Hit paper breakdown → | 2023 | 158 |
| 7 | 2014 | 151 | |
| 8 | 1998 | 126 | |
| 9 | 2014 | 85 | |
| 10 | 1996 | 69 | |
| 11 | 2021 | 64 | |
| 12 | 2013 | 61 | |
| 13 | 2016 | 52 | |
| 14 | 2020 | 51 | |
| 15 | 2013 | 51 | |
| 16 | 2012 | 48 | |
| 17 | 1995 | 41 | |
| 18 | 2021 | 31 | |
| 19 | 2020 | 27 | |
| 20 | 2011 | 25 |
About Clark Chen
Clark Chen is a scholar working on Genetics, Biotechnology, Cancer Research, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 54 papers that have together received 2.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (16 papers), DNA Repair Mechanisms (7 papers), Brain Metastases and Treatment (6 papers), Virus-based gene therapy research (5 papers), CAR-T cell therapy research (5 papers), Cancer Research and Treatments (4 papers), CRISPR and Genetic Engineering (4 papers) and Meningioma and schwannoma management (4 papers). The work is most often cited by research in Cancer Research (561 citations), Genetics (348 citations), Aging (47 citations), Molecular Biology (1.6k citations) and Cell Biology (172 citations). Clark Chen has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Richard D. Kolodner, Kyungjae Myung, Abhijit Datta, Anindya Dutta, Yi‐Ling Lin, Neal Sugawara, Keiko Umezu, James E. Haber, Bob S. Carter and Kylie F. Keshav. Their work appears in journals such as Neuro-Oncology, Journal of Clinical Oncology, Neurosurgery, Journal of Biological Chemistry and Nature Genetics.
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.