Kevin D. Mills

6.7k total citations · 1 hit paper
43 papers, 4.0k citations indexed

About

Kevin D. Mills is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Kevin D. Mills has authored 43 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 14 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Kevin D. Mills's work include DNA Repair Mechanisms (22 papers), Cancer-related Molecular Pathways (9 papers) and CRISPR and Genetic Engineering (6 papers). Kevin D. Mills is often cited by papers focused on DNA Repair Mechanisms (22 papers), Cancer-related Molecular Pathways (9 papers) and CRISPR and Genetic Engineering (6 papers). Kevin D. Mills collaborates with scholars based in United States, France and Netherlands. Kevin D. Mills's co-authors include David Sinclair, Leonard Guarente, Frederick W. Alt, David O. Ferguson, Sarah Wright, Sarah A. Maas, Travis J. Gould, Samuel T. Hess, Joshua Zimmerberg and Manasa V. Gudheti and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Kevin D. Mills

41 papers receiving 4.0k citations

Hit Papers

SIRT1 Redistribution on Chromatin Promotes Genomic Stabil... 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin D. Mills United States 23 2.9k 636 588 571 460 43 4.0k
Jill Meisenhelder United States 23 4.1k 1.4× 897 1.4× 302 0.5× 169 0.3× 62 0.1× 45 5.4k
Roderick J. O’Sullivan United States 28 5.5k 1.9× 565 0.9× 1.6k 2.7× 295 0.5× 62 0.1× 42 6.5k
Yuanxin Xi United States 28 4.2k 1.4× 466 0.7× 201 0.3× 51 0.1× 460 1.0× 43 5.5k
Sharon Dent United States 49 7.3k 2.5× 877 1.4× 225 0.4× 89 0.2× 129 0.3× 100 8.2k
R. Louis Schiltz United States 28 5.9k 2.0× 1.1k 1.7× 460 0.8× 75 0.1× 386 0.8× 38 7.8k
Shun-ichiro Iemura Japan 24 3.4k 1.2× 492 0.8× 404 0.7× 77 0.1× 138 0.3× 28 5.3k
Hendrik C. Korswagen Netherlands 35 3.3k 1.1× 186 0.3× 478 0.8× 1.6k 2.7× 45 0.1× 68 4.6k
Susana Gonzalo United States 32 3.7k 1.3× 483 0.8× 982 1.7× 155 0.3× 35 0.1× 58 4.4k
Marc Hild United States 20 3.5k 1.2× 518 0.8× 318 0.5× 92 0.2× 53 0.1× 27 4.7k
Sarah E. Calvo United States 35 6.7k 2.3× 172 0.3× 724 1.2× 106 0.2× 86 0.2× 49 7.8k

Countries citing papers authored by Kevin D. Mills

Since Specialization
Citations

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

Fields of papers citing papers by Kevin D. Mills

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin D. Mills. 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 Kevin D. Mills. The network helps show where Kevin D. Mills may publish in the future.

Co-authorship network of co-authors of Kevin D. Mills

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin D. Mills. A scholar is included among the top collaborators of Kevin D. Mills 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 Kevin D. Mills. Kevin D. Mills 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
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Wilson, John J., Kin-Hoe Chow, Thomas J. Sproule, et al.. (2018). Enhancing the efficacy of glycolytic blockade in cancer cellsviaRAD51 inhibition. Cancer Biology & Therapy. 20(2). 169–182. 10 indexed citations
4.
Godek, Kristina, Monica Venere, Quilian Wu, et al.. (2016). Chromosomal Instability Affects the Tumorigenicity of Glioblastoma Tumor-Initiating Cells. Cancer Discovery. 6(5). 532–545. 49 indexed citations
5.
Hasham, Muneer G., Nina M. Donghia, Anne Breggia, et al.. (2013). Attenuating homologous recombination stimulates an AID-induced antileukemic effect. The Journal of Experimental Medicine. 210(5). 1021–1033. 29 indexed citations
6.
Hare, Lauren, Toby J. Phesse, Paul Waring, et al.. (2013). Physiological expression of the PI3K-activating mutation Pik3caH1047R combines with Apc loss to promote development of invasive intestinal adenocarcinomas in mice. Biochemical Journal. 458(2). 251–258. 18 indexed citations
7.
Vuong, Bao Q., Bharat Vaidyanathan, Joseph N. Pucella, et al.. (2013). A DNA break– and phosphorylation-dependent positive feedback loop promotes immunoglobulin class-switch recombination. Nature Immunology. 14(11). 1183–1189. 49 indexed citations
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Maas, Sarah A., Nina M. Donghia, Kathleen Tompkins, Oded Foreman, & Kevin D. Mills. (2010). ARTEMIS stabilizes the genome and modulates proliferative responses in multipotent mesenchymal cells. BMC Biology. 8(1). 132–132. 6 indexed citations
10.
Singh, Priyam, Sarah Wright, Sonya Kamdar, et al.. (2009). Global Changes in Processing of mRNA 3′ Untranslated Regions Characterize Clinically Distinct Cancer Subtypes. Cancer Research. 69(24). 9422–9430. 121 indexed citations
11.
Wright, Sarah, Yong Woo, Ellen C. Akeson, et al.. (2009). Complex Oncogenic Translocations with Gene Amplification Are Initiated by Specific DNA Breaks in Lymphocytes. Cancer Research. 69(10). 4454–4460. 8 indexed citations
12.
Ng, Siemon H. S., Sarah A. Maas, Petko M. Petkov, Kevin D. Mills, & Kenneth Paigen. (2009). Colocalization of somatic and meiotic double strand breaks near the Myc oncogene on mouse chromosome 15. Genes Chromosomes and Cancer. 48(10). 925–930. 2 indexed citations
13.
Khalil, André, et al.. (2007). Chromosome territories have a highly nonspherical morphology and nonrandom positioning. Chromosome Research. 15(7). 899–916. 76 indexed citations
14.
Szatkiewicz, Jin P., Joerg Bewersdorf, Christoph Cremer, et al.. (2007). Chromosome neighborhood composition determines translocation outcomes after exposure to high-dose radiation in primary cells. Chromosome Research. 15(8). 1061–1073. 40 indexed citations
15.
Woo, Yong, Sarah Wright, Sarah A. Maas, et al.. (2007). The nonhomologous end joining factor Artemis suppresses multi-tissue tumor formation and prevents loss of heterozygosity. Oncogene. 26(41). 6010–6020. 18 indexed citations
16.
Morales, Julio C., Sonia Franco, Michael Murphy, et al.. (2006). 53BP1 and p53 synergize to suppress genomic instability and lymphomagenesis. Proceedings of the National Academy of Sciences. 103(9). 3310–3315. 63 indexed citations
18.
Zhu, Chengming, Kevin D. Mills, David O. Ferguson, et al.. (2002). Unrepaired DNA Breaks in p53-Deficient Cells Lead to Oncogenic Gene Amplification Subsequent to Translocations. Cell. 109(7). 811–821. 340 indexed citations
19.
Mills, Kevin D., David Sinclair, & Leonard Guarente. (1999). MEC1-Dependent Redistribution of the Sir3 Silencing Protein from Telomeres to DNA Double-Strand Breaks. Cell. 97(5). 609–620. 276 indexed citations
20.
Kennedy, Brian K., Monica Gotta, David Sinclair, et al.. (1997). Redistribution of Silencing Proteins from Telomeres to the Nucleolus Is Associated with Extension of Life Span in S. cerevisiae. Cell. 89(3). 381–391. 301 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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