Beverly Mok
Impact in
- Aging top 5%
Papers in
-
- CRISPR and Genetic Engineering 6
- RNA regulation and disease 3
- RNA and protein synthesis mechanisms 3
- Mitochondrial Function and Pathology 1
- Genetics 2
- Evolution and Genetic Dynamics 1
- Bacterial Genetics and Biotechnology 1
- Co-authors
- David R. Liu (6 shared papers)Aditya Raguram (2 shared papers)Vamsi K. Mootha (2 shared papers)Anna V. Kotrys (2 shared papers)Matthew C. Radey (1 shared paper)S. Brook Peterson (1 shared paper)Joseph D. Mougous (1 shared paper)FoSheng Hsu (1 shared paper)
- Journals
- Nature Biotechnology (2 papers)Cell (2 papers)Science Translational Medicine (1 paper)Nature (1 paper)
- Partner nations
- United StatesGermanyPoland
In The Last Decade
Beverly Mok
6 papers receiving 1.1k citations
Beverly Mok's Hit Papers
Peers
Comparison fields: 5 of 76
- Business and International Management 59
- Aging 48
- Clinical Biochemistry 110
- Molecular Biology 1.1k
- Genetics 213
Countries citing papers authored by Beverly Mok
This map shows the geographic impact of Beverly Mok'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 Beverly Mok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beverly Mok more than expected).
Fields of papers citing papers by Beverly Mok
This network shows the impact of papers produced by Beverly Mok. 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 Beverly Mok. The network helps show where Beverly Mok may publish in the future.
Co-authors
The 25 scholars most cited alongside Beverly Mok, 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 | A bacterial cytidine deaminase toxin enables CRISPR-free mitochondrial base editing Hit paper breakdown → | 2020 | 512 |
| 2 | 2020 | 198 | |
| 3 | 2021 | 169 | |
| 4 | 2019 | 142 | |
| 5 | CRISPR-free base editors with enhanced activity and expanded targeting scope in mitochondrial and nuclear DNA Hit paper breakdown → | 2022 | 140 |
| 6 | 2025 | 5 |
About Beverly Mok
Beverly Mok is a scholar working on Molecular Biology, Genetics, Clinical Biochemistry, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 6 papers that have together received 1.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), RNA regulation and disease (3 papers), RNA and protein synthesis mechanisms (3 papers), Evolution and Genetic Dynamics (1 paper), Metabolism and Genetic Disorders (1 paper), Mitochondrial Function and Pathology (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Business and International Management (59 citations), Aging (48 citations), Clinical Biochemistry (110 citations), Molecular Biology (1.1k citations) and Genetics (213 citations). Beverly Mok has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include David R. Liu, Aditya Raguram, Vamsi K. Mootha, Anna V. Kotrys, Matthew C. Radey, S. Brook Peterson, Joseph D. Mougous, FoSheng Hsu, Marcos H. de Moraes and Dustin E. Bosch. Their work appears in journals such as Nature Biotechnology, Cell, Science Translational Medicine and Nature.
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.