Aditya Raguram

10.8k total citations · 14 hit papers
23 papers, 7.2k citations indexed

About

Aditya Raguram is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Aditya Raguram has authored 23 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Aditya Raguram's work include CRISPR and Genetic Engineering (20 papers), RNA regulation and disease (7 papers) and Virus-based gene therapy research (6 papers). Aditya Raguram is often cited by papers focused on CRISPR and Genetic Engineering (20 papers), RNA regulation and disease (7 papers) and Virus-based gene therapy research (6 papers). Aditya Raguram collaborates with scholars based in United States, Canada and Poland. Aditya Raguram's co-authors include David R. Liu, Gregory A. Newby, Jonathan M. Levy, Luke W. Koblan, Andrew V. Anzalone, Christopher Wilson, Jessie R. Davis, Peyton B. Randolph, Peter J. Chen and Alexander A. Sousa and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Aditya Raguram

23 papers receiving 7.0k citations

Hit Papers

Search-and-replace genome editing without double-strand b... 2018 2026 2020 2023 2019 2018 2020 2020 2022 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
Aditya Raguram United States 19 6.6k 1.9k 1.2k 531 357 23 7.2k
Luke W. Koblan United States 15 7.5k 1.1× 2.3k 1.2× 1.1k 0.9× 626 1.2× 439 1.2× 19 8.0k
Andrew V. Anzalone United States 15 6.1k 0.9× 1.7k 0.9× 1.2k 1.1× 515 1.0× 346 1.0× 19 6.8k
Holly A. Rees United States 17 7.1k 1.1× 1.9k 1.0× 875 0.8× 679 1.3× 379 1.1× 18 7.5k
Gregory A. Newby United States 30 8.0k 1.2× 2.4k 1.2× 1.1k 0.9× 615 1.2× 436 1.2× 59 8.7k
Luhan Yang United States 6 7.3k 1.1× 1.7k 0.9× 804 0.7× 556 1.0× 394 1.1× 8 8.0k
Sangsu Bae South Korea 34 6.5k 1.0× 1.4k 0.7× 1.2k 1.0× 664 1.3× 322 0.9× 112 7.1k
Michael S. Packer United States 14 8.4k 1.3× 2.3k 1.2× 1.3k 1.1× 748 1.4× 436 1.2× 18 9.0k
Alexander A. Sousa United States 11 5.1k 0.8× 1.4k 0.7× 763 0.7× 568 1.1× 284 0.8× 13 5.4k
Matthew H. Larson United States 14 8.2k 1.2× 2.0k 1.0× 658 0.6× 525 1.0× 376 1.1× 19 8.9k
John A. Zuris United States 19 5.8k 0.9× 1.4k 0.7× 708 0.6× 540 1.0× 339 0.9× 24 6.4k

Countries citing papers authored by Aditya Raguram

Since Specialization
Citations

This map shows the geographic impact of Aditya Raguram'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 Aditya Raguram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Raguram more than expected).

Fields of papers citing papers by Aditya Raguram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aditya Raguram. 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 Aditya Raguram. The network helps show where Aditya Raguram may publish in the future.

Co-authorship network of co-authors of Aditya Raguram

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

All Works

20 of 20 papers shown
1.
Pierce, Sarah E., Steven Erwood, Meirui An, et al.. (2025). Prime editing-installed suppressor tRNAs for disease-agnostic genome editing. Nature. 648(8092). 191–202. 1 indexed citations
2.
An, Meirui, Aditya Raguram, Samuel W. Du, et al.. (2024). Engineered virus-like particles for transient delivery of prime editor ribonucleoprotein complexes in vivo. Nature Biotechnology. 42(10). 1526–1537. 128 indexed citations breakdown →
3.
Raguram, Aditya, Meirui An, Paul Chen, & David R. Liu. (2024). Directed evolution of engineered virus-like particles with improved production and transduction efficiencies. Nature Biotechnology. 43(10). 1635–1647. 16 indexed citations
4.
Arbab, Mandana, Żaneta Matuszek, Gregory A. Newby, et al.. (2023). Base editing rescue of spinal muscular atrophy in cells and in mice. Science. 380(6642). eadg6518–eadg6518. 74 indexed citations
5.
Reichart, Daniel, Gregory A. Newby, Hiroko Wakimoto, et al.. (2023). Efficient in vivo genome editing prevents hypertrophic cardiomyopathy in mice. Nature Medicine. 29(2). 412–421. 106 indexed citations breakdown →
6.
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 →
7.
Suh, Susie, Elliot H. Choi, Aditya Raguram, David R. Liu, & Krzysztof Palczewski. (2022). Precision genome editing in the eye. Proceedings of the National Academy of Sciences. 119(39). e2210104119–e2210104119. 33 indexed citations
8.
Choi, Elliot H., Susie Suh, Andrzej T. Foik, et al.. (2022). In vivo base editing rescues cone photoreceptors in a mouse model of early-onset inherited retinal degeneration. Nature Communications. 13(1). 1830–1830. 60 indexed citations
9.
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 →
10.
Davis, Jessie R., Xiao Wang, Isaac P. Witte, et al.. (2022). Efficient in vivo base editing via single adeno-associated viruses with size-optimized genomes encoding compact adenine base editors. Nature Biomedical Engineering. 6(11). 1272–1283. 117 indexed citations breakdown →
11.
Neugebauer, Monica E., Alvin Hsu, Mandana Arbab, et al.. (2022). Evolution of an adenine base editor into a small, efficient cytosine base editor with low off-target activity. Nature Biotechnology. 41(5). 673–685. 156 indexed citations breakdown →
12.
Mok, Beverly, Anna V. Kotrys, Aditya Raguram, et al.. (2022). CRISPR-free base editors with enhanced activity and expanded targeting scope in mitochondrial and nuclear DNA. Nature Biotechnology. 40(9). 1378–1387. 131 indexed citations breakdown →
13.
Raguram, Aditya, Samagya Banskota, & David R. Liu. (2022). Therapeutic in vivo delivery of gene editing agents. Cell. 185(15). 2806–2827. 318 indexed citations breakdown →
14.
Doman, Jordan L., Aditya Raguram, Gregory A. Newby, & David R. Liu. (2020). Evaluation and minimization of Cas9-independent off-target DNA editing by cytosine base editors. Nature Biotechnology. 38(5). 620–628. 312 indexed citations breakdown →
15.
Lin, Qiupeng, Yuan Zong, Chenxiao Xue, et al.. (2020). Prime genome editing in rice and wheat. Nature Biotechnology. 38(5). 582–585. 556 indexed citations breakdown →
16.
Mok, Beverly, Marcos H. de Moraes, Jun Zeng, et al.. (2020). A bacterial cytidine deaminase toxin enables CRISPR-free mitochondrial base editing. Nature. 583(7817). 631–637. 483 indexed citations breakdown →
17.
Tharakaraman, Kannan, Satoru Watanabe, Kuan Rong Chan, et al.. (2018). Rational Engineering and Characterization of an mAb that Neutralizes Zika Virus by Targeting a Mutationally Constrained Quaternary Epitope. Cell Host & Microbe. 23(5). 618–627.e6. 25 indexed citations
18.
Attwater, James, et al.. (2018). Ribozyme-catalysed RNA synthesis using triplet building blocks. eLife. 7. 89 indexed citations
19.
Koblan, Luke W., Jordan L. Doman, Christopher Wilson, et al.. (2018). Improving cytidine and adenine base editors by expression optimization and ancestral reconstruction. Nature Biotechnology. 36(9). 843–846. 662 indexed citations breakdown →
20.
Raguram, Aditya, V. Sasisekharan, & Ram Sasisekharan. (2017). A Chiral Pentagonal Polyhedral Framework for Characterizing Virus Capsid Structures. Trends in Microbiology. 25(6). 438–446. 9 indexed citations

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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