Peyton B. Randolph
Impact in
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- Innovation and Socioeconomic Development
- Aging top 1%
Papers in
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- CRISPR and Genetic Engineering 7
- RNA and protein synthesis mechanisms 3
- Advanced biosensing and bioanalysis techniques 2
- RNA regulation and disease 2
- Retinal Development and Disorders 1
- Genetics 4
- Virus-based gene therapy research 4
- Co-authors
- Gregory A. Newby (5 shared papers)David R. Liu (6 shared papers)Peter J. Chen (4 shared papers)Andrew V. Anzalone (3 shared papers)Jessie R. Davis (4 shared papers)Aditya Raguram (3 shared papers)Alexander A. Sousa (2 shared papers)Jonathan M. Levy (2 shared papers)
- Partner nations
- United States
In The Last Decade
Peyton B. Randolph
7 papers receiving 4.3k citations
Peyton B. Randolph's Hit Papers
Peers
Comparison fields: 5 of 107
- Business and International Management 366
- Aging 259
- Molecular Biology 4.1k
- Genetics 1.2k
- Plant Science 664
Countries citing papers authored by Peyton B. Randolph
This map shows the geographic impact of Peyton B. Randolph'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 Peyton B. Randolph with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peyton B. Randolph more than expected).
Fields of papers citing papers by Peyton B. Randolph
This network shows the impact of papers produced by Peyton B. Randolph. 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 Peyton B. Randolph. The network helps show where Peyton B. Randolph may publish in the future.
Co-authors
The 25 scholars most cited alongside Peyton B. Randolph, 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 | Search-and-replace genome editing without double-strand breaks or donor DNA Hit paper breakdown → | 2019 | 2932 |
| 2 | Engineered pegRNAs improve prime editing efficiency Hit paper breakdown → | 2021 | 463 |
| 3 | Engineered virus-like particles for efficient in vivo delivery of therapeutic proteins Hit paper breakdown → | 2022 | 397 |
| 4 | 2020 | 257 | |
| 5 | Phage-assisted evolution and protein engineering yield compact, efficient prime editors Hit paper breakdown → | 2023 | 161 |
| 6 | Efficient prime editing in mouse brain, liver and heart with dual AAVs Hit paper breakdown → | 2023 | 114 |
| 7 | 2022 | 89 |
About Peyton B. Randolph
Peyton B. Randolph is a scholar working on Molecular Biology, Genetics, Epidemiology, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 7 papers that have together received 4.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Virus-based gene therapy research (4 papers), RNA and protein synthesis mechanisms (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA regulation and disease (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Mosquito-borne diseases and control (1 paper) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Business and International Management (366 citations), Aging (259 citations), Molecular Biology (4.1k citations), Genetics (1.2k citations) and Plant Science (664 citations). Peyton B. Randolph has collaborated with scholars based in United States. Frequent co-authors include Gregory A. Newby, David R. Liu, Peter J. Chen, Andrew V. Anzalone, Jessie R. Davis, Aditya Raguram, Alexander A. Sousa, Jonathan M. Levy, Luke W. Koblan and Christopher Wilson. Their work appears in journals such as Nature Biotechnology, Cell, Nature and Nature Protocols.
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.