Mitch McVey

6.3k total citations · 2 hit papers
51 papers, 4.5k citations indexed

About

Mitch McVey is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Mitch McVey has authored 51 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 10 papers in Plant Science and 9 papers in Cancer Research. Recurrent topics in Mitch McVey's work include DNA Repair Mechanisms (33 papers), CRISPR and Genetic Engineering (21 papers) and Genomics and Chromatin Dynamics (10 papers). Mitch McVey is often cited by papers focused on DNA Repair Mechanisms (33 papers), CRISPR and Genetic Engineering (21 papers) and Genomics and Chromatin Dynamics (10 papers). Mitch McVey collaborates with scholars based in United States, Netherlands and Italy. Mitch McVey's co-authors include Matt Kaeberlein, Leonard Guarente, Sang Eun Lee, Jeff Sekelsky, Alder Yu, Melissa D. Adams, Sze Ham Chan, Varandt Y. Khodaverdian, Shin‐ichiro Imai and L Guarente and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Mitch McVey

50 papers receiving 4.4k citations

Hit Papers

The SIR2/3/4 complex and SIR2 alone promote longevity in ... 1999 2026 2008 2017 1999 2008 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitch McVey United States 25 3.2k 991 759 751 686 51 4.5k
Pierre‐Antoine Defossez France 34 3.8k 1.2× 931 0.9× 1.1k 1.4× 1.3k 1.7× 304 0.4× 66 5.5k
Jessica K. Tyler United States 43 6.7k 2.1× 243 0.2× 510 0.7× 444 0.6× 901 1.3× 101 7.7k
Philipp Oberdoerffer United States 21 2.4k 0.7× 715 0.7× 462 0.6× 205 0.3× 181 0.3× 31 3.3k
Ethan Ford United States 19 1.4k 0.4× 1.0k 1.0× 501 0.7× 202 0.3× 178 0.3× 23 2.6k
Siu Sylvia Lee United States 25 2.8k 0.9× 133 0.1× 740 1.0× 2.5k 3.3× 156 0.2× 44 4.8k
Paul F. Cliften United States 16 1.8k 0.6× 272 0.3× 286 0.4× 131 0.2× 343 0.5× 24 3.1k
Greg Donahue United States 32 4.7k 1.5× 84 0.1× 968 1.3× 282 0.4× 322 0.5× 50 6.1k
Lynne Chantranupong United States 21 4.2k 1.3× 121 0.1× 658 0.9× 181 0.2× 229 0.3× 26 5.8k
Miklós Sass Hungary 28 1.5k 0.5× 135 0.1× 452 0.6× 390 0.5× 227 0.3× 65 3.4k
Dan Garza United States 28 2.8k 0.9× 60 0.1× 589 0.8× 291 0.4× 362 0.5× 47 4.2k

Countries citing papers authored by Mitch McVey

Since Specialization
Citations

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

Fields of papers citing papers by Mitch McVey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitch McVey. 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 Mitch McVey. The network helps show where Mitch McVey may publish in the future.

Co-authorship network of co-authors of Mitch McVey

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

All Works

20 of 20 papers shown
1.
Woodward, Nicholas B., et al.. (2025). A non-tethering role for the Drosophila Pol θ linker domain in promoting damage resolution. Nucleic Acids Research. 53(8). 1 indexed citations
2.
McVey, Mitch, et al.. (2025). REV7: a small but mighty regulator of genome maintenance and cancer development. Frontiers in Oncology. 14. 1516165–1516165. 1 indexed citations
3.
Gormally, Brenna M. G., et al.. (2024). Investigating the effects of acute and chronic stress on DNA damage. Journal of Experimental Zoology Part A Ecological and Integrative Physiology. 341(3). 256–263. 2 indexed citations
4.
Gormally, Brenna M. G., et al.. (2022). Background DNA damage is higher in summer than winter in both free‐living and captive birds. Journal of Experimental Zoology Part A Ecological and Integrative Physiology. 337(8). 789–794. 2 indexed citations
5.
Gormally, Brenna M. G., et al.. (2020). Beyond corticosterone: The acute stress response increases DNA damage in house sparrows. Journal of Experimental Zoology Part A Ecological and Integrative Physiology. 333(8). 595–606. 9 indexed citations
6.
Marygold, Steven J, Helen Attrill, Elena Speretta, et al.. (2020). The DNA polymerases of Drosophila melanogaster. Fly. 14(1-4). 49–61. 6 indexed citations
7.
Levin, Michael, et al.. (2020). Sertraline induces DNA damage and cellular toxicity in Drosophila that can be ameliorated by antioxidants. Scientific Reports. 10(1). 4512–4512. 13 indexed citations
9.
Gormally, Brenna M. G., et al.. (2018). DNA damage as an indicator of chronic stress: Correlations with corticosterone and uric acid. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 227. 116–122. 37 indexed citations
11.
McVey, Mitch, et al.. (2015). Error‐Prone Repair of DNA Double‐Strand Breaks. Journal of Cellular Physiology. 231(1). 15–24. 264 indexed citations
12.
McVey, Mitch, et al.. (2015). Linking DNA polymerase theta structure and function in health and disease. Cellular and Molecular Life Sciences. 73(3). 603–615. 34 indexed citations
13.
Garcı́a, Ana Maria, Robert Salomon, Alice Witsell, et al.. (2011). Loss of the bloom syndrome helicase increases DNA ligase 4-independent genome rearrangements and tumorigenesis in aging Drosophila. Genome biology. 12(12). R121–R121. 22 indexed citations
14.
Yu, Alder & Mitch McVey. (2010). Synthesis-dependent microhomology-mediated end joining accounts for multiple types of repair junctions. Nucleic Acids Research. 38(17). 5706–5717. 152 indexed citations
15.
McVey, Mitch. (2010). Strategies for DNA interstrand crosslink repair: Insights from worms, flies, frogs, and slime molds. Environmental and Molecular Mutagenesis. 51(6). 646–658. 39 indexed citations
16.
McVey, Mitch & Sang Eun Lee. (2008). MMEJ repair of double-strand breaks (director’s cut): deleted sequences and alternative endings. Trends in Genetics. 24(11). 529–538. 714 indexed citations breakdown →
17.
McVey, Mitch, Jeannine R. LaRocque, Melissa D. Adams, & Jeff Sekelsky. (2004). Formation of deletions during double-strand break repair in Drosophila DmBlm mutants occurs after strand invasion. Proceedings of the National Academy of Sciences. 101(44). 15694–15699. 70 indexed citations
18.
Park, Peter U., Mitch McVey, & Leonard Guarente. (2002). Separation of mother and daughter cells. Methods in enzymology on CD-ROM/Methods in enzymology. 351. 468–477. 47 indexed citations
19.
Kaeberlein, Matt, Mitch McVey, & Leonard Guarente. (2001). Using Yeast to Discover the Fountain of Youth. Science of Aging Knowledge Environment. 2001(1). pe1–pe1. 27 indexed citations
20.
Kaeberlein, Matt, Mitch McVey, & Leonard Guarente. (1999). The SIR2/3/4 complex and SIR2 alone promote longevity in Saccharomyces cerevisiae by two different mechanisms. Genes & Development. 13(19). 2570–2580. 1725 indexed citations breakdown →

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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