Vikram Pattanayak
- Molecular Biology top 1%
- Genetics top 2%
- Business and International Management top 0.2%
- Plant Science top 5%
- Aging top 0.5%
- Co-authors
- David R. LiuJ. Keith JoungShengdar Q. TsaiMichelle S. PrewBenjamin P. KleinstiverNathalie T. NguyenZongli ZhengJohn P. Guilinger
- Topics
- CRISPR and Genetic Engineering (13 papers)Advanced biosensing and bioanalysis techniques (7 papers)RNA and protein synthesis mechanisms (5 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Vikram Pattanayak
21 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 4.2k
- Genetics 985
- Business and International Management 535
- Plant Science 461
- Aging 351
Countries citing papers authored by Vikram Pattanayak
This map shows the geographic impact of Vikram Pattanayak'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 Vikram Pattanayak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikram Pattanayak more than expected).
Fields of papers citing papers by Vikram Pattanayak
This network shows the impact of papers produced by Vikram Pattanayak. 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 Vikram Pattanayak. The network helps show where Vikram Pattanayak may publish in the future.
Co-authorship network of co-authors of Vikram Pattanayak
This figure shows the co-authorship network connecting the top 25 collaborators of Vikram Pattanayak. A scholar is included among the top collaborators of Vikram Pattanayak 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 Vikram Pattanayak. Vikram Pattanayak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 18 | |
| 3 | 28 | |
| 4 | 34 | |
| 5 | 20 | |
| 6 | 23 | |
| 7 | 29 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | High-fidelity CRISPR–Cas9 nucleases with no detectable genome-wide off-target effectsbreakdown → | 1967 |
| 12 | 340 | |
| 13 | 56 | |
| 14 | 163 | |
| 15 | 44 | |
| 16 | High-throughput profiling of off-target DNA cleavage reveals RNA-programmed Cas9 nuclease specificitybreakdown → | 1155 |
| 17 | 346 | |
| 18 | 2 | |
| 19 | 94 | |
| 20 | 7 |
About Vikram Pattanayak
Vikram Pattanayak is a scholar working on Aging, Business and International Management and Molecular Biology, having authored 24 papers that have together received 4.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (13 papers), Advanced biosensing and bioanalysis techniques (7 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Business and International Management (535 citations), Aging (351 citations) and Molecular Biology (4.2k citations). Vikram Pattanayak has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include David R. Liu, J. Keith Joung, Shengdar Q. Tsai, Michelle S. Prew, Benjamin P. Kleinstiver, Nathalie T. Nguyen, Zongli Zheng, John P. Guilinger, Steven Lin and Enbo Ma. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.