Peyton B. Randolph

6.8k total citations · 5 hit papers
7 papers, 4.4k citations indexed

About

Peyton B. Randolph is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Peyton B. Randolph has authored 7 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 1 paper in Epidemiology. Recurrent topics in Peyton B. Randolph's work include CRISPR and Genetic Engineering (7 papers), Virus-based gene therapy research (4 papers) and RNA and protein synthesis mechanisms (3 papers). Peyton B. Randolph is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Virus-based gene therapy research (4 papers) and RNA and protein synthesis mechanisms (3 papers). Peyton B. Randolph collaborates with scholars based in United States. Peyton B. Randolph's 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, Christopher Wilson and Luke W. Koblan and has published in prestigious journals such as Nature, Cell and Nature Biotechnology.

In The Last Decade

Peyton B. Randolph

7 papers receiving 4.3k citations

Hit Papers

Search-and-replace genome editing without double-strand b... 2019 2026 2021 2023 2019 2021 2022 2023 2023 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peyton B. Randolph United States 7 4.1k 1.2k 664 366 259 7 4.4k
Jessie R. Davis United States 10 4.0k 1.0× 1.3k 1.1× 586 0.9× 351 1.0× 236 0.9× 12 4.3k
Nicole M. Gaudelli United States 13 4.2k 1.0× 1.2k 1.0× 572 0.9× 397 1.1× 224 0.9× 18 4.4k
Eli J. Fine United States 15 4.6k 1.1× 1.1k 0.9× 576 0.9× 461 1.3× 420 1.6× 19 5.0k
Alexander A. Sousa United States 11 5.1k 1.2× 1.4k 1.1× 763 1.1× 568 1.6× 375 1.4× 13 5.4k
Gang Bao United States 9 4.1k 1.0× 895 0.7× 520 0.8× 406 1.1× 375 1.4× 11 4.5k
Vikram Pattanayak United States 16 4.2k 1.0× 985 0.8× 461 0.7× 535 1.5× 351 1.4× 24 4.4k
Michelle S. Prew United States 10 4.3k 1.0× 931 0.8× 492 0.7× 575 1.6× 370 1.4× 14 4.4k
Jeongbin Park South Korea 15 3.4k 0.8× 691 0.6× 617 0.9× 322 0.9× 231 0.9× 30 3.9k
Mudra Hegde United States 14 4.5k 1.1× 732 0.6× 462 0.7× 213 0.6× 292 1.1× 18 5.1k
Joshua A. Weinstein United States 10 3.6k 0.9× 729 0.6× 444 0.7× 289 0.8× 324 1.3× 15 4.4k

Countries citing papers authored by Peyton B. Randolph

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Peyton B. Randolph

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

All Works

7 of 7 papers shown
1.
Davis, Jessie R., Samagya Banskota, Jonathan M. Levy, et al.. (2023). Efficient prime editing in mouse brain, liver and heart with dual AAVs. Nature Biotechnology. 42(2). 253–264. 114 indexed citations breakdown →
2.
Doman, Jordan L., Smriti Pandey, Monica E. Neugebauer, et al.. (2023). Phage-assisted evolution and protein engineering yield compact, efficient prime editors. Cell. 186(18). 3983–4002.e26. 161 indexed citations breakdown →
3.
Banskota, Samagya, Aditya Raguram, Susie Suh, et al.. (2022). Engineered virus-like particles for efficient in vivo delivery of therapeutic proteins. Cell. 185(2). 250–265.e16. 397 indexed citations breakdown →
4.
Doman, Jordan L., Alexander A. Sousa, Peyton B. Randolph, Peter J. Chen, & David R. Liu. (2022). Designing and executing prime editing experiments in mammalian cells. Nature Protocols. 17(11). 2431–2468. 89 indexed citations
5.
Nelson, James W., Peyton B. Randolph, Simon P. Shen, et al.. (2021). Engineered pegRNAs improve prime editing efficiency. Nature Biotechnology. 40(3). 402–410. 463 indexed citations breakdown →
6.
Miller, Shannon M., Tina Wang, Peyton B. Randolph, et al.. (2020). Continuous evolution of SpCas9 variants compatible with non-G PAMs. Nature Biotechnology. 38(4). 471–481. 257 indexed citations
7.
Anzalone, Andrew V., Peyton B. Randolph, Jessie R. Davis, et al.. (2019). Search-and-replace genome editing without double-strand breaks or donor DNA. Nature. 576(7785). 149–157. 2932 indexed citations breakdown →

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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