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 →
Genome editing with CRISPR–Cas nucleases, base editors, transposases and prime editors
20201.5k citationsAndrew V. Anzalone, Luke W. Koblan et al.Nature Biotechnologyprofile →
Improving cytidine and adenine base editors by expression optimization and ancestral reconstruction
2018662 citationsLuke W. Koblan, Jordan L. Doman et al.Nature Biotechnologyprofile →
Phage-assisted evolution of an adenine base editor with improved Cas domain compatibility and activity
2020633 citationsMichelle F. Richter, Kevin T. Zhao et al.Nature Biotechnologyprofile →
Improved base excision repair inhibition and bacteriophage Mu Gam protein yields C:G-to-T:A base editors with higher efficiency and product purity
2017568 citationsAlexis C. Komor, Kevin T. Zhao et al.Science Advancesprofile →
Programmable deletion, replacement, integration and inversion of large DNA sequences with twin prime editing
2021376 citationsAndrew V. Anzalone, Xin D. Gao et al.Nature Biotechnologyprofile →
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 →
Massively parallel assessment of human variants with base editor screens
2021202 citationsRuth E. Hanna, Mudra Hegde et al.Cellprofile →
CRISPR technologies for genome, epigenome and transcriptome editing
202499 citationsLukas Villiger, Julia Joung et al.Nature Reviews Molecular Cell Biologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Luke W. Koblan
Since
Specialization
Citations
This map shows the geographic impact of Luke W. Koblan'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 Luke W. Koblan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luke W. Koblan more than expected).
This network shows the impact of papers produced by Luke W. Koblan. 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 Luke W. Koblan. The network helps show where Luke W. Koblan may publish in the future.
Co-authorship network of co-authors of Luke W. Koblan
This figure shows the co-authorship network connecting the top 25 collaborators of Luke W. Koblan.
A scholar is included among the top collaborators of Luke W. Koblan 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 Luke W. Koblan. Luke W. Koblan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Villiger, Lukas, Julia Joung, Luke W. Koblan, et al.. (2024). CRISPR technologies for genome, epigenome and transcriptome editing. Nature Reviews Molecular Cell Biology. 25(6). 464–487.99 indexed citations breakdown →
Hanna, Ruth E., Mudra Hegde, Christian Fagre, et al.. (2021). Massively parallel assessment of human variants with base editor screens. Cell. 184(4). 1064–1080.e20.202 indexed citations breakdown →
6.
Anzalone, Andrew V., Xin D. Gao, Andrew T. Nelson, et al.. (2021). Programmable deletion, replacement, integration and inversion of large DNA sequences with twin prime editing. Nature Biotechnology. 40(5). 731–740.376 indexed citations breakdown →
Richter, Michelle F., Kevin T. Zhao, Elliot O. Eton, et al.. (2020). Phage-assisted evolution of an adenine base editor with improved Cas domain compatibility and activity. Nature Biotechnology. 38(7). 883–891.633 indexed citations breakdown →
10.
Anzalone, Andrew V., Luke W. Koblan, & David R. Liu. (2020). Genome editing with CRISPR–Cas nucleases, base editors, transposases and prime editors. Nature Biotechnology. 38(7). 824–844.1475 indexed citations breakdown →
11.
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 →
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 →
16.
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 →
17.
Komor, Alexis C., Kevin T. Zhao, Michael S. Packer, et al.. (2017). Improved base excision repair inhibition and bacteriophage Mu Gam protein yields C:G-to-T:A base editors with higher efficiency and product purity. Science Advances. 3(8). eaao4774–eaao4774.568 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.