Gregory A. Newby

14.8k total citations · 12 hit papers
59 papers, 8.7k citations indexed

About

Gregory A. Newby is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Gregory A. Newby has authored 59 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 11 papers in Genetics and 6 papers in Genetics. Recurrent topics in Gregory A. Newby's work include CRISPR and Genetic Engineering (40 papers), RNA regulation and disease (14 papers) and Virus-based gene therapy research (10 papers). Gregory A. Newby is often cited by papers focused on CRISPR and Genetic Engineering (40 papers), RNA regulation and disease (14 papers) and Virus-based gene therapy research (10 papers). Gregory A. Newby collaborates with scholars based in United States, Poland and United Kingdom. Gregory A. Newby's co-authors include David R. Liu, Aditya Raguram, Luke W. Koblan, Christopher Wilson, Jonathan M. Levy, Peyton B. Randolph, Peter J. Chen, Andrew V. Anzalone, Jessie R. Davis and Alexander A. Sousa and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Gregory A. Newby

58 papers receiving 8.5k citations

Hit Papers

Search-and-replace genome editing without double-strand b... 2018 2026 2020 2023 2019 2018 2020 2021 2021 500 1000 1.5k 2.0k 2.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Search-and-replace genome editing without double-strand breaks or donor DNA
    2019 2.9k citations Andrew V. Anzalone, Peyton B. Randolph et al. profile →
  2. Improving cytidine and adenine base editors by expression optimization and ancestral reconstruction
    2018 662 citations Luke W. Koblan, Jordan L. Doman et al. Nature Biotechnology profile →
  3. Phage-assisted evolution of an adenine base editor with improved Cas domain compatibility and activity
    2020 633 citations Michelle F. Richter, Kevin T. Zhao et al. Nature Biotechnology profile →
  4. Enhanced prime editing systems by manipulating cellular determinants of editing outcomes
    2021 488 citations Peter J. Chen, Jeffrey A. Hussmann et al. Cell profile →
  5. Engineered pegRNAs improve prime editing efficiency
    2021 463 citations James W. Nelson, Peyton B. Randolph et al. Nature Biotechnology profile →
  6. Engineered virus-like particles for efficient in vivo delivery of therapeutic proteins
    2022 397 citations Samagya Banskota, Aditya Raguram et al. Cell profile →
  7. Evaluation and minimization of Cas9-independent off-target DNA editing by cytosine base editors
    2020 312 citations Jordan L. Doman, Aditya Raguram et al. Nature Biotechnology profile →
  8. Evolution of an adenine base editor into a small, efficient cytosine base editor with low off-target activity
    2022 156 citations Monica E. Neugebauer, Alvin Hsu et al. Nature Biotechnology profile →
  9. Engineered virus-like particles for transient delivery of prime editor ribonucleoprotein complexes in vivo
    2024 128 citations Meirui An, Aditya Raguram et al. Nature Biotechnology profile →
  10. Efficient prime editing in mouse brain, liver and heart with dual AAVs
    2023 114 citations Jessie R. Davis, Samagya Banskota et al. Nature Biotechnology profile →
  11. Efficient in vivo genome editing prevents hypertrophic cardiomyopathy in mice
    2023 106 citations Gregory A. Newby, Aditya Raguram et al. profile →
  12. Ex vivo prime editing of patient haematopoietic stem cells rescues sickle-cell disease phenotypes after engraftment in mice
    2023 85 citations Kelcee A. Everette, Gregory A. Newby et al. Nature Biomedical Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory A. Newby United States 30 8.0k 2.4k 1.1k 615 453 59 8.7k
Luke W. Koblan United States 15 7.5k 0.9× 2.3k 0.9× 1.1k 1.0× 626 1.0× 354 0.8× 19 8.0k
Aditya Raguram United States 19 6.6k 0.8× 1.9k 0.8× 1.2k 1.1× 531 0.9× 350 0.8× 23 7.2k
Michael S. Packer United States 14 8.4k 1.0× 2.3k 1.0× 1.3k 1.2× 748 1.2× 319 0.7× 18 9.0k
Holly A. Rees United States 17 7.1k 0.9× 1.9k 0.8× 875 0.8× 679 1.1× 306 0.7× 18 7.5k
Luhan Yang United States 6 7.3k 0.9× 1.7k 0.7× 804 0.8× 556 0.9× 425 0.9× 8 8.0k
Alexis C. Komor United States 18 9.1k 1.1× 2.5k 1.0× 1.3k 1.2× 860 1.4× 348 0.8× 41 9.9k
Winston X. Yan United States 16 8.2k 1.0× 2.0k 0.8× 769 0.7× 1.1k 1.7× 541 1.2× 31 8.6k
Benjamin P. Kleinstiver United States 28 8.4k 1.0× 1.9k 0.8× 1.0k 1.0× 1.0k 1.7× 324 0.7× 66 8.7k
Matthew H. Larson United States 14 8.2k 1.0× 2.0k 0.8× 658 0.6× 525 0.9× 225 0.5× 19 8.9k
Andrew V. Anzalone United States 15 6.1k 0.8× 1.7k 0.7× 1.2k 1.2× 515 0.8× 249 0.5× 19 6.8k

Countries citing papers authored by Gregory A. Newby

Since Specialization
Citations

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

Fields of papers citing papers by Gregory A. Newby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory A. Newby. 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 Gregory A. Newby. The network helps show where Gregory A. Newby may publish in the future.

Co-authorship network of co-authors of Gregory A. Newby

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory A. Newby. A scholar is included among the top collaborators of Gregory A. Newby 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 Gregory A. Newby. Gregory A. Newby 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.
Daliri, Karim, Jürgen Hescheler, Gregory A. Newby, et al.. (2025). Modulating Collagen I Expression in Fibroblasts by CRISPR-Cas9 Base Editing of the Collagen 1A1 Promoter. International Journal of Molecular Sciences. 26(7). 3041–3041. 3 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.
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
4.
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 →
5.
Li, Chang, Aphrodite Georgakopoulou, Gregory A. Newby, et al.. (2023). In vivo HSC prime editing rescues Sickle Cell Disease in a mouse model. Blood. 141(17). 2085–2099. 51 indexed citations
6.
Newby, Gregory A., et al.. (2023). Highly efficient biallelic correction of homozygous COL7A1 mutation using ABE8e adenine base editor. British Journal of Dermatology. 190(4). 583–585. 1 indexed citations
7.
Kelly, Karen, Jonathan Lee, Dimas Echeverria, et al.. (2023). Self-delivering, chemically modified CRISPR RNAs for AAV co-delivery and genome editing in vivo. Nucleic Acids Research. 52(2). 977–997. 10 indexed citations
8.
Shahi, Pawan K., Yuyuan Wang, Divya Sinha, et al.. (2023). Nonviral base editing of KCNJ13 mutation preserves vision in a model of inherited retinal channelopathy. Journal of Clinical Investigation. 133(19). 15 indexed citations
9.
Everette, Kelcee A., Gregory A. Newby, Rachel M. Levine, et al.. (2023). Ex vivo prime editing of patient haematopoietic stem cells rescues sickle-cell disease phenotypes after engraftment in mice. Nature Biomedical Engineering. 7(5). 616–628. 85 indexed citations breakdown →
10.
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
11.
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 →
12.
Li, Chang, Aphrodite Georgakopoulou, Gregory A. Newby, et al.. (2022). In vivo base editing by a single i.v. vector injection for treatment of hemoglobinopathies. JCI Insight. 7(19). 24 indexed citations
13.
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 →
14.
Chen, Peter J., Jeffrey A. Hussmann, Jun Yan, et al.. (2021). Enhanced prime editing systems by manipulating cellular determinants of editing outcomes. Cell. 184(22). 5635–5652.e29. 488 indexed citations breakdown →
15.
Koblan, Luke W., Mandana Arbab, Max W. Shen, et al.. (2021). Efficient C•G-to-G•C base editors developed using CRISPRi screens, target-library analysis, and machine learning. Nature Biotechnology. 39(11). 1414–1425. 155 indexed citations
16.
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 →
17.
Suh, Susie, Elliot H. Choi, Henri Leinonen, et al.. (2020). Publisher Correction: Restoration of visual function in adult mice with an inherited retinal disease via adenine base editing. Nature Biomedical Engineering. 4(11). 1119–1119. 4 indexed citations
18.
Suh, Susie, Elliot H. Choi, Henri Leinonen, et al.. (2020). Restoration of visual function in adult mice with an inherited retinal disease via adenine base editing. Nature Biomedical Engineering. 5(2). 169–178. 116 indexed citations
19.
Osborn, Mark J., Gregory A. Newby, Amber McElroy, et al.. (2019). Base Editor Correction of COL7A1 in Recessive Dystrophic Epidermolysis Bullosa Patient-Derived Fibroblasts and iPSCs. Journal of Investigative Dermatology. 140(2). 338–347.e5. 75 indexed citations
20.
Chakrabortee, Sohini, Can Kayatekin, Gregory A. Newby, et al.. (2016). Luminidependens (LD) is an Arabidopsis protein with prion behavior. Proceedings of the National Academy of Sciences. 113(21). 6065–6070. 124 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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