Gregory M. Chen
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 4
- Molecular Biology Techniques and Applications 2
- Gene expression and cancer classification 1
- Plant biochemistry and biosynthesis 1
- Oncology 5
- CAR-T cell therapy research 4
- Co-authors
- Benjamin Haibe‐Kains (3 shared papers)Deena M.A. Gendoo (3 shared papers)Chad W. Johnston (2 shared papers)Kai Tan (4 shared papers)Michael A. Skinnider (2 shared papers)Chris A. Dejong (2 shared papers)Nathan A. Magarvey (2 shared papers)Anne‐Marie Mes‐Masson (1 shared paper)
- Journals
- Clinical Cancer Research (2 papers)Nature Chemical Biology (2 papers)Cancer Discovery (1 paper)JAMA Network Open (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Gregory M. Chen
10 papers receiving 679 citations
Peers
Comparison fields: 5 of 80
- Physiology 115
- Oncology 264
- Pharmacology 124
- Immunology 146
- Molecular Medicine 24
Countries citing papers authored by Gregory M. Chen
This map shows the geographic impact of Gregory M. 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 Gregory M. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory M. Chen more than expected).
Fields of papers citing papers by Gregory M. Chen
This network shows the impact of papers produced by Gregory M. 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 Gregory M. Chen. The network helps show where Gregory M. Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory M. 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 | 2015 | 210 | |
| 2 | 2021 | 132 | |
| 3 | 2016 | 95 | |
| 4 | 2016 | 87 | |
| 5 | 2018 | 84 | |
| 6 | 2019 | 29 | |
| 7 | 2020 | 22 | |
| 8 | 2022 | 13 | |
| 9 | 2019 | 8 | |
| 10 | 2022 | 4 |
About Gregory M. Chen
Gregory M. Chen is a scholar working on Molecular Biology, Oncology, Pharmacology, Biotechnology and Biomedical Engineering, having authored 10 papers that have together received 684 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (4 papers), CAR-T cell therapy research (4 papers), Microbial Natural Products and Biosynthesis (2 papers), Marine Sponges and Natural Products (2 papers), Molecular Biology Techniques and Applications (2 papers), Cancer Genomics and Diagnostics (1 paper), Gene expression and cancer classification (1 paper) and Plant biochemistry and biosynthesis (1 paper). The work is most often cited by research in Physiology (115 citations), Oncology (264 citations), Pharmacology (124 citations), Immunology (146 citations) and Molecular Medicine (24 citations). Gregory M. Chen has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Benjamin Haibe‐Kains, Deena M.A. Gendoo, Chad W. Johnston, Kai Tan, Michael A. Skinnider, Chris A. Dejong, Nathan A. Magarvey, Anne‐Marie Mes‐Masson, Guillaume Chouinard and Cécile Le Page. Their work appears in journals such as Clinical Cancer Research, Nature Chemical Biology, Cancer Discovery, JAMA Network Open and Science Translational 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.