Sofya S. Perelman
Impact in
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- RNA Interference and Gene Delivery
- CRISPR and Genetic Engineering
- Advanced biosensing and bioanalysis techniques
- Lipid Membrane Structure and Behavior
- RNA regulation and disease
Papers in
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- Antimicrobial Resistance in Staphylococcus 3
- Viral gastroenteritis research and epidemiology 1
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- CRISPR and Genetic Engineering 2
- RNA regulation and disease 2
- Bacterial biofilms and quorum sensing 2
- RNA Interference and Gene Delivery 2
- Sphingolipid Metabolism and Signaling 1
- Co-authors
- Shuyuan Zhang (2 shared papers)Hu Xiong (2 shared papers)Hao Zhu (2 shared papers)Daniel J. Siegwart (2 shared papers)Jason B. Miller (2 shared papers)Petra Kós (2 shared papers)Neal M. Alto (3 shared papers)John W. Schoggins (3 shared papers)
- Journals
- Nature Microbiology (2 papers)Nature (1 paper)Cell Reports (1 paper)Angewandte Chemie International Edition (1 paper)Microbiology Spectrum (1 paper)
- Partner nations
- United StatesPolandAustralia
In The Last Decade
Sofya S. Perelman
9 papers receiving 777 citations
Sofya S. Perelman's Hit Papers
Peers
Comparison fields: 5 of 68
- Business and International Management 24
- Molecular Biology 604
- Aging 10
- Genetics 147
- Immunology 85
Countries citing papers authored by Sofya S. Perelman
This map shows the geographic impact of Sofya S. 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 Sofya S. Perelman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofya S. Perelman more than expected).
Fields of papers citing papers by Sofya S. Perelman
This network shows the impact of papers produced by Sofya S. 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 Sofya S. Perelman. The network helps show where Sofya S. Perelman may publish in the future.
Co-authors
The 25 scholars most cited alongside Sofya S. Perelman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Non‐Viral CRISPR/Cas Gene Editing In Vitro and In Vivo Enabled by Synthetic Nanoparticle Co‐Delivery of Cas9 mRNA and sgRNA Hit paper breakdown → | 2016 | 481 |
| 2 | 2020 | 110 | |
| 3 | 2016 | 62 | |
| 4 | 2019 | 59 | |
| 5 | 2022 | 34 | |
| 6 | 2016 | 24 | |
| 7 | 2024 | 16 | |
| 8 | 2022 | 3 | |
| 9 | 2023 | 1 |
About Sofya S. Perelman
Sofya S. Perelman is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Periodontics and Microbiology, having authored 9 papers that have together received 790 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (3 papers), CRISPR and Genetic Engineering (2 papers), RNA regulation and disease (2 papers), Bacterial biofilms and quorum sensing (2 papers), Streptococcal Infections and Treatments (2 papers), RNA Interference and Gene Delivery (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Business and International Management (24 citations), Molecular Biology (604 citations), Aging (10 citations), Genetics (147 citations) and Immunology (85 citations). Sofya S. Perelman has collaborated with scholars based in United States, Poland and Australia. Frequent co-authors include Shuyuan Zhang, Hu Xiong, Hao Zhu, Daniel J. Siegwart, Jason B. Miller, Petra Kós, Neal M. Alto, John W. Schoggins, Katrina B. Mar and Michael E. Abrams. Their work appears in journals such as Nature Microbiology, Nature, Cell Reports, Angewandte Chemie International Edition and Microbiology Spectrum.
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.