Beverly Mok

1.6k total citations · 2 hit papers
6 papers, 1.1k citations indexed

About

Beverly Mok is a scholar working on Molecular Biology, Genetics and Clinical Biochemistry. According to data from OpenAlex, Beverly Mok has authored 6 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Clinical Biochemistry. Recurrent topics in Beverly Mok's work include CRISPR and Genetic Engineering (6 papers), RNA regulation and disease (3 papers) and RNA and protein synthesis mechanisms (3 papers). Beverly Mok is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), RNA regulation and disease (3 papers) and RNA and protein synthesis mechanisms (3 papers). Beverly Mok collaborates with scholars based in United States, Germany and United Kingdom. Beverly Mok's co-authors include David R. Liu, Anna V. Kotrys, Aditya Raguram, Vamsi K. Mootha, Matthew C. Radey, Joseph D. Mougous, Marcos H. de Moraes, FoSheng Hsu, Jun Zeng and Dustin E. Bosch and has published in prestigious journals such as Nature, Cell and Nature Biotechnology.

In The Last Decade

Beverly Mok

6 papers receiving 1.1k citations

Hit Papers

A bacterial cytidine deaminase toxin enables CRISPR-free ... 2020 2026 2022 2024 2020 2022 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A bacterial cytidine deaminase toxin enables CRISPR-free mitochondrial base editing
    2020 483 citations Beverly Mok, Marcos H. de Moraes et al. Nature profile →
  2. CRISPR-free base editors with enhanced activity and expanded targeting scope in mitochondrial and nuclear DNA
    2022 131 citations Beverly Mok, Anna V. Kotrys et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Beverly Mok United States 5 1.0k 211 111 95 59 6 1.1k
Gayoung Baek South Korea 8 945 0.9× 284 1.3× 52 0.5× 83 0.9× 66 1.1× 8 989
Tony P. Huang United States 11 1.2k 1.2× 342 1.6× 19 0.2× 95 1.0× 87 1.5× 11 1.3k
Hiu Man Grisch‐Chan Switzerland 10 612 0.6× 250 1.2× 89 0.8× 11 0.1× 33 0.6× 16 686
Jeff Smith United States 10 617 0.6× 197 0.9× 33 0.3× 209 2.2× 49 0.8× 20 787
Christine Strand United States 7 819 0.8× 146 0.7× 6 0.1× 54 0.6× 20 0.3× 7 995
Matthew Mendel United States 8 609 0.6× 169 0.8× 7 0.1× 71 0.7× 23 0.4× 13 684
Elliot O. Eton United States 4 659 0.6× 189 0.9× 4 0.0× 85 0.9× 44 0.7× 6 720
Tanglong Yuan China 9 1.1k 1.0× 299 1.4× 4 0.0× 114 1.2× 104 1.8× 13 1.1k
Meirui An United States 5 824 0.8× 255 1.2× 4 0.0× 88 0.9× 64 1.1× 6 883
Aline Marnef France 17 980 0.9× 140 0.7× 4 0.0× 111 1.2× 19 0.3× 21 1.1k

Countries citing papers authored by Beverly Mok

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Beverly Mok

This figure shows the co-authorship network connecting the top 25 collaborators of Beverly Mok. A scholar is included among the top collaborators of Beverly Mok based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beverly Mok. Beverly Mok is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Bacman, Sandra R., Derek J. Van Booven, James B. Stewart, et al.. (2025). Correcting a pathogenic mitochondrial DNA mutation by base editing in mice. Science Translational Medicine. 17(783). eadr0792–eadr0792. 2 indexed citations
2.
Mok, Beverly, Anna V. Kotrys, Aditya Raguram, et al.. (2022). CRISPR-free base editors with enhanced activity and expanded targeting scope in mitochondrial and nuclear DNA. Nature Biotechnology. 40(9). 1378–1387. 131 indexed citations breakdown →
3.
Koblan, Luke W., Mandana Arbab, Max W. Shen, et al.. (2021). Efficient C•G-to-G•C base editors developed using CRISPRi screens, target-library analysis, and machine learning. Nature Biotechnology. 39(11). 1414–1425. 155 indexed citations
4.
Arbab, Mandana, Max W. Shen, Beverly Mok, et al.. (2020). Determinants of Base Editing Outcomes from Target Library Analysis and Machine Learning. Cell. 182(2). 463–480.e30. 185 indexed citations
5.
Mok, Beverly, Marcos H. de Moraes, Jun Zeng, et al.. (2020). A bacterial cytidine deaminase toxin enables CRISPR-free mitochondrial base editing. Nature. 583(7817). 631–637. 483 indexed citations breakdown →
6.
Maji, Basudeb, Soumyashree A. Gangopadhyay, Miseon Lee, et al.. (2019). A High-Throughput Platform to Identify Small-Molecule Inhibitors of CRISPR-Cas9. Cell. 177(4). 1067–1079.e19. 139 indexed citations

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.

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