Nicole S. Persky

4.2k citations
18 papers · 2.1k indexed · 2 hit papers · h-index 13
Topics
DNA Repair Mechanisms (7 papers)CRISPR and Genetic Engineering (5 papers)Bacterial Genetics and Biotechnology (3 papers)

In The Last Decade

Nicole S. Persky

18 papers receiving 2.1k citations

Hit Papers

Biallelic Inactivation of BRCA2 in Fanconi Anemia200220262010201820022020250500750

Peers

Nicole S. Persky
Comparison fields: 5 of 108
  • Molecular Biology 1.3k
  • Genetics 612
  • Cancer Research 403
  • Oncology 388
  • Infectious Diseases 366
Replace Mariola Fotin‐Mleczek with:
Mariola Fotin‐Mleczek Germany
János Ludwig Germany
Evangelos Christodoulou United Kingdom
Qinfen Zhang China
Niels de Wind Netherlands
Natalia de Val United States
Elena Zaitseva United States
Robert H. Carnahan United States
Nancy J. Peffer United States
Lindsay T. Johnson United States
Nicole S. Persky relative to Mariola Fotin‐Mleczek Germany Mariola Fotin‐Mleczek's profile →
Citations per field
00.5×1.5×
Mariola Fotin‐Mleczek · 1×
Citations per year

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
#WorkIndexed citations
1 12
2 6
3 4
4 5
5 13
6
Broad host range of SARS-CoV-2 predicted by comparative and structural analysis of ACE2 in vertebratesbreakdown →
414
7 72
8 159
9 2
10 90
11 56
12 124
13 65
14 77
15 42
16 49
17
Biallelic Inactivation of BRCA2 in Fanconi Anemiabreakdown →
859
18 61

About Nicole S. Persky

Nicole S. Persky is a scholar working on Cancer Research, Molecular Medicine and Genetics, having authored 18 papers that have together received 2.1k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), CRISPR and Genetic Engineering (5 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Cancer Research (403 citations), Genetics (612 citations) and Infectious Diseases (366 citations). Nicole S. Persky has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Gerard Pals, Hideyuki Ikeda, Barbara Cox, Niall G. Howlett, Susan B. Olson, Toshiyasu Taniguchi, Alan D. D’Andrea, Quinten Waisfisz, Hans Joenje and Christine de Die‐Smulders. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

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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