Michelle S. Prew

6.0k total citations · 4 hit papers
14 papers, 4.4k citations indexed

About

Michelle S. Prew is a scholar working on Molecular Biology, Oncology and Clinical Biochemistry. According to data from OpenAlex, Michelle S. Prew has authored 14 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Oncology and 1 paper in Clinical Biochemistry. Recurrent topics in Michelle S. Prew's work include CRISPR and Genetic Engineering (8 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Cell death mechanisms and regulation (4 papers). Michelle S. Prew is often cited by papers focused on CRISPR and Genetic Engineering (8 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Cell death mechanisms and regulation (4 papers). Michelle S. Prew collaborates with scholars based in United States and Hong Kong. Michelle S. Prew's co-authors include Benjamin P. Kleinstiver, J. Keith Joung, Shengdar Q. Tsai, Nathalie T. Nguyen, Zongli Zheng, Vikram Pattanayak, Ved V. Topkar, Martin J. Aryee, Randall T. Peterson and Jing-Ruey Joanna Yeh and has published in prestigious journals such as Nature, Nature Communications and Nature Biotechnology.

In The Last Decade

Michelle S. Prew

14 papers receiving 4.3k citations

Hit Papers

High-fidelity CRISPR–Cas9 nucleases with no detectable ge... 2015 2026 2018 2022 2016 2015 2016 2015 500 1000 1.5k
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. High-fidelity CRISPR–Cas9 nucleases with no detectable genome-wide off-target effects
    2016 2.0k citations Benjamin P. Kleinstiver, Vikram Pattanayak et al. Nature profile →
  2. Engineered CRISPR-Cas9 nucleases with altered PAM specificities
    2015 1.3k citations Benjamin P. Kleinstiver, Michelle S. Prew et al. Nature profile →
  3. Genome-wide specificities of CRISPR-Cas Cpf1 nucleases in human cells
    2016 509 citations Benjamin P. Kleinstiver, Shengdar Q. Tsai et al. Nature Biotechnology profile →
  4. Broadening the targeting range of Staphylococcus aureus CRISPR-Cas9 by modifying PAM recognition
    2015 466 citations Benjamin P. Kleinstiver, Michelle S. Prew 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
Michelle S. Prew United States 10 4.3k 931 575 492 370 14 4.4k
Ved V. Topkar United States 11 4.2k 1.0× 904 1.0× 542 0.9× 443 0.9× 358 1.0× 15 4.3k
Vikram Pattanayak United States 16 4.2k 1.0× 985 1.1× 535 0.9× 461 0.9× 351 0.9× 24 4.4k
Gang Bao United States 9 4.1k 1.0× 895 1.0× 406 0.7× 520 1.1× 375 1.0× 11 4.5k
Alexander A. Sousa United States 11 5.1k 1.2× 1.4k 1.5× 568 1.0× 763 1.6× 375 1.0× 13 5.4k
Nicole M. Gaudelli United States 13 4.2k 1.0× 1.2k 1.3× 397 0.7× 572 1.2× 224 0.6× 18 4.4k
Peyton B. Randolph United States 7 4.1k 1.0× 1.2k 1.3× 366 0.6× 664 1.3× 259 0.7× 7 4.4k
Jessie R. Davis United States 10 4.0k 0.9× 1.3k 1.4× 351 0.6× 586 1.2× 236 0.6× 12 4.3k
Nathalie T. Nguyen United States 17 6.3k 1.5× 1.4k 1.6× 853 1.5× 703 1.4× 563 1.5× 27 6.8k
John P. Guilinger United States 8 3.2k 0.8× 714 0.8× 399 0.7× 298 0.6× 236 0.6× 8 3.4k
Nicolas Wyvekens United States 9 2.5k 0.6× 519 0.6× 355 0.6× 288 0.6× 204 0.6× 11 2.6k

Countries citing papers authored by Michelle S. Prew

Since Specialization
Citations

This map shows the geographic impact of Michelle S. Prew'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 Michelle S. Prew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle S. Prew more than expected).

Fields of papers citing papers by Michelle S. Prew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle S. Prew. 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 Michelle S. Prew. The network helps show where Michelle S. Prew may publish in the future.

Co-authorship network of co-authors of Michelle S. Prew

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle S. Prew. A scholar is included among the top collaborators of Michelle S. Prew 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 Michelle S. Prew. Michelle S. Prew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Adhikary, Utsarga, João A. Paulo, Marina Godes, et al.. (2023). Targeting MCL-1 triggers DNA damage and an anti-proliferative response independent from apoptosis induction. Cell Reports. 42(10). 113176–113176. 9 indexed citations
2.
Prew, Michelle S., Utsarga Adhikary, Dong Wook Choi, et al.. (2022). MCL-1 is a master regulator of cancer dependency on fatty acid oxidation. Cell Reports. 41(1). 111445–111445. 15 indexed citations
3.
Prew, Michelle S., Thomas Botzanowski, Jamie A. Moroco, et al.. (2022). Structural basis for defective membrane targeting of mutant enzyme in human VLCAD deficiency. Nature Communications. 13(1). 3669–3669. 9 indexed citations
4.
Wales, Thomas E., et al.. (2021). The conformational stability of pro-apoptotic BAX is dictated by discrete residues of the protein core. Nature Communications. 12(1). 4932–4932. 25 indexed citations
5.
Schmidts, Andrea, Amanda A. Bouffard, Angela C. Boroughs, et al.. (2020). Cell-based artificial APC resistant to lentiviral transduction for efficient generation of CAR-T cells from various cell sources. Journal for ImmunoTherapy of Cancer. 8(2). e000990–e000990. 18 indexed citations
6.
Bird, Gregory H., Thomas E. Wales, Henry D. Herce, et al.. (2020). Targeting a helix-in-groove interaction between E1 and E2 blocks ubiquitin transfer. Nature Chemical Biology. 16(11). 1218–1226. 8 indexed citations
7.
Guerra, Rachel M., Gregory H. Bird, Neekesh V. Dharia, et al.. (2018). Precision Targeting of BFL-1/A1 and an ATM Co-dependency in Human Cancer. Cell Reports. 24(13). 3393–3403.e5. 17 indexed citations
8.
Kleinstiver, Benjamin P., Michelle S. Prew, Daniel Navarro-Gomez, et al.. (2018). Allele-Specific CRISPR-Cas9 Genome Editing of the Single-Base P23H Mutation for Rhodopsin-Associated Dominant Retinitis Pigmentosa. The CRISPR Journal. 1(1). 55–64. 90 indexed citations
9.
Kleinstiver, Benjamin P., Vikram Pattanayak, Michelle S. Prew, et al.. (2016). High-fidelity CRISPR–Cas9 nucleases with no detectable genome-wide off-target effects. Nature. 529(7587). 490–495. 1967 indexed citations breakdown →
10.
Kleinstiver, Benjamin P., Shengdar Q. Tsai, Michelle S. Prew, et al.. (2016). Genome-wide specificities of CRISPR-Cas Cpf1 nucleases in human cells. Nature Biotechnology. 34(8). 869–874. 509 indexed citations breakdown →
11.
Kleinstiver, Benjamin P., Vikram Pattanayak, Michelle S. Prew, et al.. (2016). 731. High-Fidelity CRISPR-Cas9 Nucleases with No Detectable Genome-Wide Off-Target Effects. Molecular Therapy. 24. S288–S288. 42 indexed citations
12.
Kleinstiver, Benjamin P., Michelle S. Prew, Shengdar Q. Tsai, et al.. (2015). Broadening the targeting range of Staphylococcus aureus CRISPR-Cas9 by modifying PAM recognition. Nature Biotechnology. 33(12). 1293–1298. 466 indexed citations breakdown →
13.
Kleinstiver, Benjamin P., Michelle S. Prew, Shengdar Q. Tsai, et al.. (2015). Engineered CRISPR-Cas9 nucleases with altered PAM specificities. Nature. 523(7561). 481–485. 1256 indexed citations breakdown →
14.
Kleinstiver, Benjamin P., et al.. (2015). 58. Engineered Cas9 Variants with Novel PAM Specificities Expand the Targeting Range of CRISPR/Cas Nucleases. Molecular Therapy. 23. S26–S26. 2 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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