Patrick D. Hsu

54.1k total citations · 12 hit papers
37 papers, 36.8k citations indexed

About

Patrick D. Hsu is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Patrick D. Hsu has authored 37 papers receiving a total of 36.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Patrick D. Hsu's work include CRISPR and Genetic Engineering (31 papers), RNA and protein synthesis mechanisms (16 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Patrick D. Hsu is often cited by papers focused on CRISPR and Genetic Engineering (31 papers), RNA and protein synthesis mechanisms (16 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Patrick D. Hsu collaborates with scholars based in United States, Japan and China. Patrick D. Hsu's co-authors include Feng Zhang, F. Ann Ran, David Scott, Vineeta Agarwala, Eric S. Lander, Jason Wright, Xuebing Wu, Luciano A. Marraffini, Naomi Habib and Silvana Konermann and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Patrick D. Hsu

37 papers receiving 36.2k citations

Hit Papers

Multiplex Genome Engineering Using CRISPR/Cas Systems 2013 2026 2017 2021 2013 2013 2014 2013 2013 2.5k 5.0k 7.5k 10.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick D. Hsu United States 26 32.9k 6.8k 3.6k 2.5k 2.3k 37 36.8k
F. Ann Ran United States 19 29.0k 0.9× 6.5k 1.0× 3.0k 0.8× 2.4k 1.0× 2.0k 0.9× 25 32.3k
J. Keith Joung United States 77 33.2k 1.0× 8.3k 1.2× 4.3k 1.2× 3.1k 1.3× 2.1k 0.9× 155 37.3k
Luciano A. Marraffini United States 49 25.4k 0.8× 6.0k 0.9× 2.8k 0.8× 2.1k 0.8× 1.4k 0.6× 88 28.1k
David Cox United States 27 20.5k 0.6× 4.6k 0.7× 2.4k 0.7× 1.7k 0.7× 1.1k 0.5× 81 25.2k
David Scott United States 34 20.7k 0.6× 4.0k 0.6× 2.1k 0.6× 1.6k 0.6× 1.3k 0.6× 53 24.2k
Emmanuelle Charpentier Germany 47 24.5k 0.7× 5.6k 0.8× 3.6k 1.0× 2.3k 0.9× 1.5k 0.7× 94 28.4k
Le Cong United States 34 17.5k 0.5× 4.1k 0.6× 2.1k 0.6× 1.3k 0.5× 1.1k 0.5× 60 20.7k
Jin‐Soo Kim South Korea 73 21.0k 0.6× 4.8k 0.7× 4.0k 1.1× 2.0k 0.8× 1.4k 0.6× 333 24.2k
Xuebing Wu United States 25 18.8k 0.6× 4.4k 0.6× 2.1k 0.6× 1.4k 0.6× 1.3k 0.6× 35 20.7k
Martin Jínek Switzerland 47 23.2k 0.7× 4.2k 0.6× 2.9k 0.8× 2.0k 0.8× 1.5k 0.6× 92 24.8k

Countries citing papers authored by Patrick D. Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Patrick D. Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick D. Hsu. 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 Patrick D. Hsu. The network helps show where Patrick D. Hsu may publish in the future.

Co-authorship network of co-authors of Patrick D. Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick D. Hsu. A scholar is included among the top collaborators of Patrick D. Hsu 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 Patrick D. Hsu. Patrick D. Hsu 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.
Fanton, Alison, Jade Martins, Laine Goudy, et al.. (2025). Site-specific DNA insertion into the human genome with engineered recombinases. Nature Biotechnology. 1 indexed citations
2.
Ku, Ja‐Lok, David W. Romero, Garyk Brixi, et al.. (2025). Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale. ArXiv.org. 1 indexed citations
3.
Hiraizumi, Masahiro, Nicholas T. Perry, Matthew G. Durrant, et al.. (2024). Structural mechanism of bridge RNA-guided recombination. Nature. 630(8018). 994–1002. 31 indexed citations
4.
Durrant, Matthew G., Nicholas T. Perry, Aditya R. Jangid, et al.. (2024). Bridge RNAs direct programmable recombination of target and donor DNA. Nature. 630(8018). 984–993. 67 indexed citations breakdown →
5.
Wei, Jin, Mia Madel Alfajaro, Wesley L. Cai, et al.. (2023). The KDM6A-KMT2D-p300 axis regulates susceptibility to diverse coronaviruses by mediating viral receptor expression. PLoS Pathogens. 19(7). e1011351–e1011351. 3 indexed citations
6.
Durrant, Matthew G., Alison Fanton, Josh Tycko, et al.. (2022). Systematic discovery of recombinases for efficient integration of large DNA sequences into the human genome. Nature Biotechnology. 41(4). 488–499. 102 indexed citations
7.
Kellogg, Elizabeth H., Jonathan S. Gootenberg, Omar O. Abudayyeh, et al.. (2022). What are the current bottlenecks in developing and applying CRISPR technologies?. Cell Systems. 13(8). 589–593. 1 indexed citations
8.
Buchman, Anna, et al.. (2020). Programmable RNA Targeting Using CasRx in Flies. The CRISPR Journal. 3(3). 164–176. 55 indexed citations
9.
Tycko, Josh, Luis Barrera, Nicholas C. Huston, et al.. (2018). Pairwise library screen systematically interrogates Staphylococcus aureus Cas9 specificity in human cells. Nature Communications. 9(1). 2962–2962. 27 indexed citations
10.
Konermann, Silvana, Mark D. Brigham, Alexandro E. Trevino, et al.. (2016). Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex. RePEc: Research Papers in Economics. 10 indexed citations
11.
Tycko, Josh, Jacqueline N. Robinson-Hamm, Chris Wilson, et al.. (2016). 317. Screening S. Aureus CRISPR-Cas9 Paired-Guide RNAs for Efficient Targeted Deletion in Duchenne Muscular Dystrophy. Molecular Therapy. 24. S127–S128. 1 indexed citations
12.
Hirano, Hisato, Jonathan S. Gootenberg, Takuro Horii, et al.. (2016). Structure and Engineering of Francisella novicida Cas9. Cell. 164(5). 950–961. 273 indexed citations
13.
Nishimasu, Hiroshi, Naoshi Dohmae, Ryuichiro Ishitani, et al.. (2014). Crystal Structure of Cas9 in Complex with Guide RNA and Target DNA. DSpace@MIT (Massachusetts Institute of Technology). 693 indexed citations breakdown →
14.
Hsu, Patrick D., Eric S. Lander, & Feng Zhang. (2014). Development and Applications of CRISPR-Cas9 for Genome Engineering. Cell. 157(6). 1262–1278. 4108 indexed citations breakdown →
15.
Cong, Le, F. Ann Ran, David Cox, et al.. (2013). Multiplex Genome Engineering Using CRISPR/Cas Systems. Science. 339(6121). 819–823. 11236 indexed citations breakdown →
16.
Konermann, Silvana, Mark D. Brigham, Alexandro E. Trevino, et al.. (2013). Optical control of mammalian endogenous transcription and epigenetic states. Nature. 500(7463). 472–476. 633 indexed citations breakdown →
17.
Ran, F. Ann, Patrick D. Hsu, Jason Wright, et al.. (2013). Genome engineering using the CRISPR-Cas9 system. Nature Protocols. 8(11). 2281–2308. 7942 indexed citations breakdown →
18.
Ran, F. Ann, Patrick D. Hsu, Jonathan S. Gootenberg, et al.. (2013). Double Nicking by RNA-Guided CRISPR Cas9 for Enhanced Genome Editing Specificity. Cell. 155(2). 479–480. 67 indexed citations
19.
Ran, F. Ann, Patrick D. Hsu, Jonathan S. Gootenberg, et al.. (2013). Double Nicking by RNA-Guided CRISPR Cas9 for Enhanced Genome Editing Specificity. Cell. 154(6). 1380–1389. 2567 indexed citations breakdown →
20.
Hsu, Patrick D. & Feng Zhang. (2012). Dissecting Neural Function Using Targeted Genome Engineering Technologies. ACS Chemical Neuroscience. 3(8). 603–610. 30 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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