Purnima Ravisankar
Impact in
- Aging top 5%
Papers in
-
- CRISPR and Genetic Engineering 5
- Advanced biosensing and bioanalysis techniques 2
- RNA and protein synthesis mechanisms 2
- Single-cell and spatial transcriptomics 1
- Pluripotent Stem Cells Research 1
- RNA regulation and disease 1
- Co-authors
- Britt Adamson (5 shared papers)Jun Yan (4 shared papers)Jonathan S. Weissman (2 shared papers)Jeffrey A. Hussmann (2 shared papers)Peter J. Chen (2 shared papers)David R. Liu (2 shared papers)Cidi Chen (1 shared paper)Friederike Knipping (1 shared paper)
- Journals
- Cell (2 papers)Nature Methods (1 paper)Nature (1 paper)Science Immunology (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- United StatesAustriaCanada
In The Last Decade
Purnima Ravisankar
6 papers receiving 761 citations
Purnima Ravisankar's Hit Papers
Peers
Comparison fields: 5 of 61
- Business and International Management 47
- Aging 41
- Molecular Biology 722
- Genetics 202
- Biological Psychiatry 13
Countries citing papers authored by Purnima Ravisankar
This map shows the geographic impact of Purnima Ravisankar'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 Purnima Ravisankar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Purnima Ravisankar more than expected).
Fields of papers citing papers by Purnima Ravisankar
This network shows the impact of papers produced by Purnima Ravisankar. 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 Purnima Ravisankar. The network helps show where Purnima Ravisankar may publish in the future.
Co-authors
The 25 scholars most cited alongside Purnima Ravisankar, 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 | Enhanced prime editing systems by manipulating cellular determinants of editing outcomes Hit paper breakdown → | 2021 | 488 |
| 2 | 2021 | 109 | |
| 3 | Improving prime editing with an endogenous small RNA-binding protein Hit paper breakdown → | 2024 | 107 |
| 4 | 2024 | 43 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 10 |
About Purnima Ravisankar
Purnima Ravisankar is a scholar working on Molecular Biology, Social Psychology, Virology, Biological Psychiatry and Plant Science, having authored 6 papers that have together received 768 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA and protein synthesis mechanisms (2 papers), Single-cell and spatial transcriptomics (1 paper), HIV Research and Treatment (1 paper), Pluripotent Stem Cells Research (1 paper), Chromosomal and Genetic Variations (1 paper) and RNA regulation and disease (1 paper). The work is most often cited by research in Business and International Management (47 citations), Aging (41 citations), Molecular Biology (722 citations), Genetics (202 citations) and Biological Psychiatry (13 citations). Purnima Ravisankar has collaborated with scholars based in United States, Austria and Canada. Frequent co-authors include Britt Adamson, Jun Yan, Jonathan S. Weissman, Jeffrey A. Hussmann, Peter J. Chen, David R. Liu, Cidi Chen, Friederike Knipping, James W. Nelson and Mark J. Osborn. Their work appears in journals such as Cell, Nature Methods, Nature, Science Immunology and Nature Biotechnology.
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.