Nicole S. Persky

4.2k total citations · 2 hit papers
18 papers, 2.1k citations indexed

About

Nicole S. Persky is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Nicole S. Persky has authored 18 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Nicole S. Persky's work include DNA Repair Mechanisms (7 papers), CRISPR and Genetic Engineering (5 papers) and Bacterial Genetics and Biotechnology (3 papers). Nicole S. Persky is often cited by papers focused on DNA Repair Mechanisms (7 papers), CRISPR and Genetic Engineering (5 papers) and Bacterial Genetics and Biotechnology (3 papers). Nicole S. Persky collaborates with scholars based in United States, Germany and Netherlands. Nicole S. Persky's co-authors include Toshiyasu Taniguchi, Hideyuki Ikeda, Christine de Die‐Smulders, Quinten Waisfisz, Markus Grompe, Gerard Pals, Barbara Cox, Hans Joenje, Niall G. Howlett and Susan B. Olson and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Nicole S. Persky

18 papers receiving 2.1k citations

Hit Papers

Biallelic Inactivation of BRCA2 in Fanconi Anemia 2002 2026 2010 2018 2002 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicole S. Persky United States 13 1.3k 612 403 388 366 18 2.1k
Russell J. Diefenbach Australia 29 887 0.7× 384 0.6× 282 0.7× 360 0.9× 150 0.4× 62 2.7k
Bijan Sobhian France 16 2.4k 1.8× 469 0.8× 242 0.6× 571 1.5× 559 1.5× 19 3.7k
Robert F. Kalejta United States 34 1.3k 1.0× 348 0.6× 157 0.4× 775 2.0× 150 0.4× 73 3.5k
Alan Rein United States 29 1.9k 1.4× 443 0.7× 191 0.5× 237 0.6× 804 2.2× 46 3.4k
Joseph Marcotrigiano United States 31 3.1k 2.3× 218 0.4× 428 1.1× 272 0.7× 706 1.9× 56 5.7k
Svend K. Petersen‐Mahrt United Kingdom 23 2.8k 2.1× 626 1.0× 258 0.6× 361 0.9× 744 2.0× 38 5.0k
Evangelos Christodoulou United Kingdom 22 1.6k 1.2× 265 0.4× 172 0.4× 305 0.8× 260 0.7× 40 2.6k
Aura Carreira France 17 1.4k 1.0× 495 0.8× 150 0.4× 381 1.0× 110 0.3× 29 1.7k
Haitang Li United States 28 3.2k 2.4× 776 1.3× 811 2.0× 168 0.4× 248 0.7× 59 3.9k
Mariola Fotin‐Mleczek Germany 28 3.6k 2.7× 780 1.3× 310 0.8× 451 1.2× 1.1k 3.0× 38 4.8k

Countries citing papers authored by Nicole S. Persky

Since Specialization
Citations

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

Fields of papers citing papers by Nicole S. Persky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicole S. Persky

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

All Works

18 of 18 papers shown
1.
Abu‐Remaileh, Muhannad, Nicole S. Persky, Yenarae Lee, David E. Root, & William G. Kaelin. (2024). Total loss of VHL gene function impairs neuroendocrine cancer cell fitness due to excessive HIF2α activity. Proceedings of the National Academy of Sciences. 121(40). e2410356121–e2410356121. 4 indexed citations
2.
Paul, Linda, et al.. (2024). CRISPR-Cas9 screens reveal common essential miRNAs in human cancer cell lines. Genome Medicine. 16(1). 82–82. 6 indexed citations
3.
Martin, Timothy D., Haley E. Manchester, Nicole S. Persky, et al.. (2024). Targeting Cholesterol Biosynthesis with Statins Synergizes with AKT Inhibitors in Triple-Negative Breast Cancer. Cancer Research. 84(19). 3250–3266. 12 indexed citations
4.
Goodale, Amy, Zohra Kalani, Meghan Wyatt, et al.. (2023). Genome-wide pooled CRISPR screening in neurospheres. Nature Protocols. 18(7). 2014–2031. 5 indexed citations
5.
Calvo, Jennifer A., Briana Fritchman, Desiree Hernandez, et al.. (2021). Comprehensive Mutational Analysis of the BRCA1-Associated DNA Helicase and Tumor-Suppressor FANCJ/BACH1/BRIP1. Molecular Cancer Research. 19(6). 1015–1025. 13 indexed citations
6.
Damas, Joana, Graham M. Hughes, Kathleen C. Keough, et al.. (2020). Broad host range of SARS-CoV-2 predicted by comparative and structural analysis of ACE2 in vertebrates. Proceedings of the National Academy of Sciences. 117(36). 22311–22322. 414 indexed citations breakdown →
7.
DeWeirdt, Peter C., Annabel K. Sangree, Ruth E. Hanna, et al.. (2020). Genetic screens in isogenic mammalian cell lines without single cell cloning. Nature Communications. 11(1). 752–752. 72 indexed citations
8.
Nayar, Utthara, Ofir Cohen, Michael S. Cuoco, et al.. (2018). Acquired HER2 mutations in ER+ metastatic breast cancer confer resistance to estrogen receptor–directed therapies. Nature Genetics. 51(2). 207–216. 159 indexed citations
9.
Nayar, Utthara, Ofir Cohen, Adrienne G. Waks, et al.. (2018). Abstract 4952: Acquired HER2 mutations in ER+ metastatic breast cancer confer resistance to ER-directed therapies. Cancer Research. 78(13_Supplement). 4952–4952. 2 indexed citations
10.
Brenan, Lisa, Ofir Cohen, Sasha Pantel, et al.. (2016). Phenotypic Characterization of a Comprehensive Set of MAPK1/ERK2 Missense Mutants. Cell Reports. 17(4). 1171–1183. 90 indexed citations
11.
Wang, Renjing, Nicole S. Persky, Barney Yoo, et al.. (2014). Mechanism of DNA interstrand cross-link processing by repair nuclease FAN1. Science. 346(6213). 1127–1130. 56 indexed citations
12.
Joo, Woo S., Guozhou Xu, Nicole S. Persky, et al.. (2011). Structure of the FANCI-FANCD2 Complex: Insights into the Fanconi Anemia DNA Repair Pathway. Science. 333(6040). 312–316. 124 indexed citations
13.
Persky, Nicole S., et al.. (2009). The ObgE/CgtA GTPase influences the stringent response to amino acid starvation in Escherichia coli. Molecular Microbiology. 73(2). 253–266. 65 indexed citations
14.
Persky, Nicole S. & Susan T. Lovett. (2008). Mechanisms of Recombination: Lessons fromE. coli. Critical Reviews in Biochemistry and Molecular Biology. 43(6). 347–370. 77 indexed citations
15.
Foti, James J., et al.. (2007). Chromosome segregation control by Escherichia coli ObgE GTPase. Molecular Microbiology. 65(2). 569–581. 42 indexed citations
16.
Steckel, Jonathan S., et al.. (2004). Monolayer and Multilayer Films of [Mn12O12(O2CMe)16]. Nano Letters. 4(3). 399–402. 49 indexed citations
17.
Howlett, Niall G., Toshiyasu Taniguchi, Susan B. Olson, et al.. (2002). Biallelic Inactivation of BRCA2 in Fanconi Anemia. Science. 297(5581). 606–609. 859 indexed citations breakdown →
18.
Persky, Nicole S., et al.. (2000). Hydrothermal Syntheses, Structures, and Properties of [Cu3Cl2CN(pyrazine)] and Copper(I) Halide Pyrazine Polymers. Inorganic Chemistry. 40(1). 29–35. 61 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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