Mark Chen
Impact in
-
- Glioma Diagnosis and Treatment
- Virus-based gene therapy research
Papers in
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- CRISPR and Genetic Engineering 4
- Pluripotent Stem Cells Research 3
- RNA Research and Splicing 2
- DNA Repair Mechanisms 2
- Viral Infectious Diseases and Gene Expression in Insects 2
- Oncology 4
- CAR-T cell therapy research 3
- Co-authors
- David G. Kirsch (10 shared papers)Yan Ma (6 shared papers)Lixia Luo (5 shared papers)Diana M. Cardona (6 shared papers)Kenneth J. Dornfeld (1 shared paper)Daniel A. Hamstra (1 shared paper)Alnawaz Rehemtulla (1 shared paper)Brian D. Ross (1 shared paper)
- Journals
- Cancer Research (3 papers)Molecular Therapy (1 paper)Clinical Cancer Research (1 paper)Scientific Reports (1 paper)World Neurosurgery (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Mark Chen
16 papers receiving 235 citations
Peers
Comparison fields: 5 of 54
- Genetics 33
- Cancer Research 35
- Neurology 35
- Radiology, Nuclear Medicine and Imaging 44
- Oncology 52
Countries citing papers authored by Mark Chen
This map shows the geographic impact of Mark 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 Mark Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Chen more than expected).
Fields of papers citing papers by Mark Chen
This network shows the impact of papers produced by Mark 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 Mark Chen. The network helps show where Mark Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark 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 | 2004 | 65 | |
| 2 | 2017 | 49 | |
| 3 | 2018 | 30 | |
| 4 | 2020 | 26 | |
| 5 | 2017 | 19 | |
| 6 | 2012 | 11 | |
| 7 | 2019 | 9 | |
| 8 | 2020 | 7 | |
| 9 | 2021 | 6 | |
| 10 | 2019 | 5 | |
| 11 | 1998 | 4 | |
| 12 | 2019 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2011 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2024 | 0 |
About Mark Chen
Mark Chen is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Genetics and Surgery, having authored 17 papers that have together received 237 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), CAR-T cell therapy research (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Pluripotent Stem Cells Research (3 papers), Virus-based gene therapy research (2 papers), RNA Research and Splicing (2 papers), DNA Repair Mechanisms (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Genetics (33 citations), Cancer Research (35 citations), Neurology (35 citations), Radiology, Nuclear Medicine and Imaging (44 citations) and Oncology (52 citations). Mark Chen has collaborated with scholars based in United States and France. Frequent co-authors include David G. Kirsch, Yan Ma, Lixia Luo, Diana M. Cardona, Kenneth J. Dornfeld, Daniel A. Hamstra, Alnawaz Rehemtulla, Brian D. Ross, Juri G. Gelovani and Eric S. Xu. Their work appears in journals such as Cancer Research, Molecular Therapy, Clinical Cancer Research, Scientific Reports and World Neurosurgery.
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.