T. Scott Chen
Impact in
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- RNA and protein synthesis mechanisms
- Cell death mechanisms and regulation
- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- RNA Interference and Gene Delivery
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- Biotin and Related Studies
Papers in
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- RNA and protein synthesis mechanisms 4
- Cell death mechanisms and regulation 2
- Biochemical and Structural Characterization 2
- RNA Interference and Gene Delivery 2
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Amy E. Keating (6 shared papers)Marta Fernández-Suárez (1 shared paper)Alice Y. Ting (1 shared paper)Sanjib Dutta (2 shared papers)Stefano V. Gullà (1 shared paper)Robert A. Grant (1 shared paper)Hector H. Palacios (1 shared paper)Glenna Foight (1 shared paper)
- Journals
- Journal of Molecular Biology (3 papers)Journal of the American Chemical Society (1 paper)Protein Science (1 paper)ACS Chemical Biology (1 paper)Methods in molecular biology (1 paper)
- Partner nations
- United States
In The Last Decade
T. Scott Chen
7 papers receiving 325 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 278
- Cell Biology 55
- Radiology, Nuclear Medicine and Imaging 54
- Biotechnology 19
- Computational Theory and Mathematics 30
Countries citing papers authored by T. Scott Chen
This map shows the geographic impact of T. Scott 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 T. Scott Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Scott Chen more than expected).
Fields of papers citing papers by T. Scott Chen
This network shows the impact of papers produced by T. Scott 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 T. Scott Chen. The network helps show where T. Scott Chen may publish in the future.
Co-authors
The 8 scholars most cited alongside T. Scott 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 | 2010 | 112 | |
| 2 | 2008 | 97 | |
| 3 | 2012 | 40 | |
| 4 | 2013 | 32 | |
| 5 | 2012 | 25 | |
| 6 | 2011 | 14 | |
| 7 | 2017 | 6 |
About T. Scott Chen
T. Scott Chen is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Organic Chemistry, Oncology and Computational Theory and Mathematics, having authored 7 papers that have together received 326 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Cell death mechanisms and regulation (2 papers), Biochemical and Structural Characterization (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA Interference and Gene Delivery (2 papers), Click Chemistry and Applications (1 paper), Molecular Junctions and Nanostructures (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Molecular Biology (278 citations), Cell Biology (55 citations), Radiology, Nuclear Medicine and Imaging (54 citations), Biotechnology (19 citations) and Computational Theory and Mathematics (30 citations). T. Scott Chen has collaborated with scholars based in United States. Frequent co-authors include Amy E. Keating, Marta Fernández-Suárez, Alice Y. Ting, Sanjib Dutta, Stefano V. Gullà, Robert A. Grant, Hector H. Palacios and Glenna Foight. Their work appears in journals such as Journal of Molecular Biology, Journal of the American Chemical Society, Protein Science, ACS Chemical Biology and Methods in molecular biology.
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.