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.
Search-and-replace genome editing without double-strand breaks or donor DNA
20192.9k citationsAndrew V. Anzalone, Peyton B. Randolph et al.Natureprofile →
Engineered virus-like particles for efficient in vivo delivery of therapeutic proteins
2022397 citationsSamagya Banskota, Aditya Raguram et al.Cellprofile →
Cytosine and adenine base editing of the brain, liver, retina, heart and skeletal muscle of mice via adeno-associated viruses
2020344 citationsJonathan M. Levy, Wei-Hsi Yeh et al.Nature Biomedical Engineeringprofile →
Phage-assisted evolution and protein engineering yield compact, efficient prime editors
2023161 citationsJordan L. Doman, Smriti Pandey et al.Cellprofile →
Engineered virus-like particles for transient delivery of prime editor ribonucleoprotein complexes in vivo
2024128 citationsMeirui An, Aditya Raguram et al.Nature Biotechnologyprofile →
Efficient in vivo base editing via single adeno-associated viruses with size-optimized genomes encoding compact adenine base editors
2022117 citationsJessie R. Davis, Xiao Wang et al.Nature Biomedical Engineeringprofile →
Efficient prime editing in mouse brain, liver and heart with dual AAVs
2023114 citationsJessie R. Davis, Samagya Banskota et al.Nature Biotechnologyprofile →
Ex vivo prime editing of patient haematopoietic stem cells rescues sickle-cell disease phenotypes after engraftment in mice
202385 citationsKelcee A. Everette, Gregory A. Newby et al.Nature Biomedical Engineeringprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Jessie R. Davis
Since
Specialization
Citations
This map shows the geographic impact of Jessie R. Davis'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 Jessie R. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jessie R. Davis more than expected).
This network shows the impact of papers produced by Jessie R. Davis. 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 Jessie R. Davis. The network helps show where Jessie R. Davis may publish in the future.
Co-authorship network of co-authors of Jessie R. Davis
This figure shows the co-authorship network connecting the top 25 collaborators of Jessie R. Davis.
A scholar is included among the top collaborators of Jessie R. Davis 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 Jessie R. Davis. Jessie R. Davis is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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 →
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.
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 →
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.
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 →
8.
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 →
9.
Levy, Jonathan M., Wei-Hsi Yeh, Nachiket Pendse, et al.. (2020). Cytosine and adenine base editing of the brain, liver, retina, heart and skeletal muscle of mice via adeno-associated viruses. Nature Biomedical Engineering. 4(1). 97–110.344 indexed citations breakdown →
10.
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.