Kin Moy
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 2
- RNA and protein synthesis mechanisms 2
- Protein Structure and Dynamics 1
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- SARS-CoV-2 and COVID-19 Research 2
- Viral gastroenteritis research and epidemiology 1
- Co-authors
- Raymond C. Stevens (5 shared papers)Jeffrey Velasquez (4 shared papers)Mark T. Griffith (3 shared papers)Peter Kühn (3 shared papers)Kumar Singh Saikatendu (2 shared papers)Jeremiah S. Joseph (2 shared papers)Vanitha Subramanian (2 shared papers)Benjamin W. Neuman (2 shared papers)
- Journals
- Journal of Virology (1 paper)BioTechniques (1 paper)Protein Expression and Purification (1 paper)Structure (1 paper)Journal of Structural and Functional Genomics (1 paper)
- Partner nations
- United States
In The Last Decade
Kin Moy
5 papers receiving 329 citations
Peers
Comparison fields: 5 of 59
- Infectious Diseases 168
- Animal Science and Zoology 69
- Physiology 19
- Molecular Biology 146
- Oncology 43
Countries citing papers authored by Kin Moy
This map shows the geographic impact of Kin Moy'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 Kin Moy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kin Moy more than expected).
Fields of papers citing papers by Kin Moy
This network shows the impact of papers produced by Kin Moy. 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 Kin Moy. The network helps show where Kin Moy may publish in the future.
Co-authors
The 25 scholars most cited alongside Kin Moy, 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 | 2005 | 156 | |
| 2 | 2006 | 94 | |
| 3 | 2007 | 34 | |
| 4 | 2005 | 27 | |
| 5 | 2004 | 25 |
About Kin Moy
Kin Moy is a scholar working on Molecular Biology, Infectious Diseases, Oncology, Physiology and Biophysics, having authored 5 papers that have together received 336 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Protein Structure and Dynamics (1 paper), Viral gastroenteritis research and epidemiology (1 paper), PARP inhibition in cancer therapy (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Infectious Diseases (168 citations), Animal Science and Zoology (69 citations), Physiology (19 citations), Molecular Biology (146 citations) and Oncology (43 citations). Kin Moy has collaborated with scholars based in United States. Frequent co-authors include Raymond C. Stevens, Jeffrey Velasquez, Mark T. Griffith, Peter Kühn, Kumar Singh Saikatendu, Jeremiah S. Joseph, Vanitha Subramanian, Benjamin W. Neuman, Michael J. Buchmeier and Alexei Brooun. Their work appears in journals such as Journal of Virology, BioTechniques, Protein Expression and Purification, Structure and Journal of Structural and Functional Genomics.
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.