Jen Chen
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
Papers in
-
- Traditional and Medicinal Uses of Annonaceae 2
-
- SARS-CoV-2 and COVID-19 Research 2
- COVID-19 Clinical Research Studies 1
- Co-authors
- Andrew S. Kende (1 shared paper)Leslie J. Browne (2 shared papers)Nina C. Gonnella (1 shared paper)Sun Kyung Kim (1 shared paper)Ignacia Echeverria (1 shared paper)Peerapol Tinnakornsrisuphap (1 shared paper)Nevan J. Krogan (1 shared paper)Robert Michael Stroud (1 shared paper)
- Journals
- Journal of the American Chemical Society (1 paper)Science (1 paper)Nature Chemical Biology (1 paper)Magnetic Resonance in Chemistry (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jen Chen
8 papers receiving 685 citations
Jen Chen's Hit Papers
Peers
Comparison fields: 5 of 82
- Infectious Diseases 358
- Biological Psychiatry 20
- Immunology 104
- Molecular Biology 347
- Animal Science and Zoology 39
Countries citing papers authored by Jen Chen
This map shows the geographic impact of Jen 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 Jen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jen Chen more than expected).
Fields of papers citing papers by Jen Chen
This network shows the impact of papers produced by Jen 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 Jen Chen. The network helps show where Jen Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jen 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 | Comparative host-coronavirus protein interaction networks reveal pan-viral disease mechanisms Hit paper breakdown → | 2020 | 536 |
| 2 | 2020 | 78 | |
| 3 | 2023 | 26 | |
| 4 | 1986 | 25 | |
| 5 | 1985 | 20 | |
| 6 | Femtocells - Architecture & Network Aspects | 2010 | 15 |
| 7 | 1988 | 10 | |
| 8 | 1986 | 1 |
About Jen Chen
Jen Chen is a scholar working on Biochemistry, Infectious Diseases, Organic Chemistry, Nuclear and High Energy Physics and Pharmacology, having authored 8 papers that have together received 711 indexed citations. Recurring topics across this work include Traditional and Medicinal Uses of Annonaceae (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Advanced NMR Techniques and Applications (1 paper), Molecular spectroscopy and chirality (1 paper), Synthesis of Indole Derivatives (1 paper), Wireless Communication Networks Research (1 paper), COVID-19 Clinical Research Studies (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Infectious Diseases (358 citations), Biological Psychiatry (20 citations), Immunology (104 citations), Molecular Biology (347 citations) and Animal Science and Zoology (39 citations). Jen Chen has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Andrew S. Kende, Leslie J. Browne, Nina C. Gonnella, Sun Kyung Kim, Ignacia Echeverria, Peerapol Tinnakornsrisuphap, Nevan J. Krogan, Robert Michael Stroud, Robyn M. Kaake and Janet Sue Finer-Moore. Their work appears in journals such as Journal of the American Chemical Society, Science, Nature Chemical Biology, Magnetic Resonance in Chemistry and Nature Structural & 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.