John S. Choy
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- DNA Repair Mechanisms
- Epigenetics and DNA Methylation
- Fungal and yeast genetics research
- RNA modifications and cancer
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Genomics and Chromatin Dynamics 8
- Fungal and yeast genetics research 7
- RNA modifications and cancer 5
- Epigenetics and DNA Methylation 4
-
- Microtubule and mitosis dynamics 5
- Co-authors
- Stephen J. Kron (5 shared papers)Tae-Hee Lee (2 shared papers)Ju Yeon Lee (1 shared paper)Steven Chu (1 shared paper)Song Tan (1 shared paper)Sijie Wei (1 shared paper)Rachana Singh (1 shared paper)Michael A. Beckett (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Molecular Biology of the Cell (2 papers)Genetics (2 papers)Lab on a Chip (2 papers)Journal of Applied Physiology (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
John S. Choy
36 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 1.0k
- Infectious Diseases 185
- Cancer Research 119
- Cell Biology 129
- Oncology 147
Countries citing papers authored by John S. Choy
This map shows the geographic impact of John S. Choy'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 John S. Choy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John S. Choy more than expected).
Fields of papers citing papers by John S. Choy
This network shows the impact of papers produced by John S. Choy. 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 John S. Choy. The network helps show where John S. Choy may publish in the future.
Co-authors
The 25 scholars most cited alongside John S. Choy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 243 | |
| 2 | 2010 | 214 | |
| 3 | Naturally Occurring Mutations of SARS-CoV-2 Main Protease Confer Drug Resistance to Nirmatrelvir Hit paper breakdown → | 2023 | 167 |
| 4 | 2002 | 107 | |
| 5 | 2011 | 78 | |
| 6 | 2011 | 59 | |
| 7 | 2002 | 57 | |
| 8 | 2001 | 56 | |
| 9 | 2023 | 45 | |
| 10 | 2011 | 44 | |
| 11 | 2013 | 41 | |
| 12 | 2010 | 24 | |
| 13 | 2020 | 21 | |
| 14 | 2012 | 20 | |
| 15 | 1994 | 20 | |
| 16 | 2023 | 17 | |
| 17 | 2012 | 17 | |
| 18 | 2016 | 17 | |
| 19 | 2023 | 16 | |
| 20 | 1995 | 16 |
About John S. Choy
John S. Choy is a scholar working on Molecular Biology, Cell Biology, Biomedical Engineering, Plant Science and Oncology, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), Fungal and yeast genetics research (7 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Microtubule and mitosis dynamics (5 papers), RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (4 papers), Chromosomal and Genetic Variations (4 papers) and 3D Printing in Biomedical Research (4 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Infectious Diseases (185 citations), Cancer Research (119 citations), Cell Biology (129 citations) and Oncology (147 citations). John S. Choy has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Stephen J. Kron, Tae-Hee Lee, Ju Yeon Lee, Steven Chu, Song Tan, Sijie Wei, Rachana Singh, Michael A. Beckett, Neelam Taneja and Ralph R. Weichselbaum. Their work appears in journals such as Journal of Biological Chemistry, Molecular Biology of the Cell, Genetics, Lab on a Chip and Journal of Applied Physiology.
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.