Natalya Perelman

12 total papers · 1.0k total citations
8 papers, 830 citations indexed

About

Natalya Perelman is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Natalya Perelman has authored 8 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in Natalya Perelman's work include CRISPR and Genetic Engineering (3 papers), Virus-based gene therapy research (3 papers) and Erythrocyte Function and Pathophysiology (2 papers). Natalya Perelman is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Virus-based gene therapy research (3 papers) and Erythrocyte Function and Pathophysiology (2 papers). Natalya Perelman collaborates with scholars based in United States, Taiwan and Canada. Natalya Perelman's co-authors include Punam Malik, Vijay K. Kalra, Marcel E. Nimni, Suresh Selvaraj, Ranjit K. Giri, Cage S. Johnson, Sandeep Batra, David T. Cheung, Ping Xia and Hiroyuki Shimada and has published in prestigious journals such as Blood, Journal of Biomedical Materials Research and Molecular Therapy.

In The Last Decade

Natalya Perelman

8 papers receiving 805 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Natalya Perelman 367 196 181 161 99 8 830
Laia Fina 369 1.0× 133 0.7× 117 0.6× 41 0.3× 159 1.6× 10 937
Tom Le 489 1.3× 75 0.4× 94 0.5× 52 0.3× 107 1.1× 13 936
Sandra Powell 653 1.8× 171 0.9× 60 0.3× 408 2.5× 152 1.5× 17 1.0k
Elaine Herer 278 0.8× 136 0.7× 202 1.1× 40 0.2× 129 1.3× 19 853
Douglas Marks 453 1.2× 349 1.8× 314 1.7× 107 0.7× 136 1.4× 11 1.0k
Angelo Vacca 448 1.2× 112 0.6× 46 0.3× 42 0.3× 72 0.7× 9 760
Thomas O. Vogler 408 1.1× 86 0.4× 85 0.5× 58 0.4× 107 1.1× 12 851
Tad Kornaga 400 1.1× 119 0.6× 50 0.3× 127 0.8× 55 0.6× 12 868
Siobhán E. Dunphy 248 0.7× 44 0.2× 163 0.9× 39 0.2× 255 2.6× 6 817
Youlin Deng 549 1.5× 25 0.1× 95 0.5× 97 0.6× 127 1.3× 12 932

Countries citing papers authored by Natalya Perelman

Since Specialization
Citations

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

Fields of papers citing papers by Natalya Perelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalya Perelman

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

All Works

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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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2026