Le Cong

29.8k total citations · 9 hit papers
60 papers, 20.7k citations indexed

About

Le Cong is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Le Cong has authored 60 papers receiving a total of 20.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 10 papers in Public Health, Environmental and Occupational Health and 10 papers in Genetics. Recurrent topics in Le Cong's work include CRISPR and Genetic Engineering (29 papers), RNA and protein synthesis mechanisms (10 papers) and Malaria Research and Control (10 papers). Le Cong is often cited by papers focused on CRISPR and Genetic Engineering (29 papers), RNA and protein synthesis mechanisms (10 papers) and Malaria Research and Control (10 papers). Le Cong collaborates with scholars based in United States, Vietnam and China. Le Cong's co-authors include Feng Zhang, F. Ann Ran, Xuebing Wu, Patrick D. Hsu, Wenyan Jiang, Luciano A. Marraffini, Robert P. J. Barretto, David Cox, Naomi Habib and George M. Church and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Le Cong

58 papers receiving 20.3k citations

Hit Papers

Multiplex Genome Engineering Using CRISPR/Cas Systems 2011 2026 2016 2021 2013 2015 2014 2015 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
Le Cong United States 34 17.5k 4.1k 2.1k 1.4k 1.3k 60 20.7k
Xuebing Wu United States 25 18.8k 1.1× 4.4k 1.1× 2.1k 1.0× 1.0k 0.7× 1.4k 1.1× 35 20.7k
Naomi Habib United States 20 15.6k 0.9× 3.2k 0.8× 1.6k 0.8× 986 0.7× 894 0.7× 34 18.0k
Lei S. Qi United States 55 19.9k 1.1× 3.9k 1.0× 1.8k 0.8× 1.1k 0.8× 1.3k 1.0× 186 22.2k
David Scott United States 34 20.7k 1.2× 4.0k 1.0× 2.1k 1.0× 1.9k 1.3× 1.6k 1.2× 53 24.2k
Jin‐Soo Kim South Korea 73 21.0k 1.2× 4.8k 1.2× 4.0k 1.9× 1.3k 0.9× 2.0k 1.5× 333 24.2k
Luke A. Gilbert United States 38 16.2k 0.9× 2.8k 0.7× 1.3k 0.6× 1.2k 0.8× 941 0.7× 68 18.0k
Martin Jínek Switzerland 47 23.2k 1.3× 4.2k 1.0× 2.9k 1.4× 830 0.6× 2.0k 1.6× 92 24.8k
Silvana Konermann United States 18 15.2k 0.9× 2.7k 0.7× 1.7k 0.8× 795 0.6× 1.5k 1.2× 26 16.3k
David Cox United States 27 20.5k 1.2× 4.6k 1.1× 2.4k 1.1× 1.1k 0.8× 1.7k 1.3× 81 25.2k
Philip D. Gregory United States 61 18.6k 1.1× 6.7k 1.6× 1.9k 0.9× 2.6k 1.8× 1.0k 0.8× 138 21.9k

Countries citing papers authored by Le Cong

Since Specialization
Citations

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

Fields of papers citing papers by Le Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Le Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Le Cong. A scholar is included among the top collaborators of Le Cong 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 Le Cong. Le Cong 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.
Huang, Kaixuan, Ming Yin, Kehui Zhan, et al.. (2025). Publisher Correction: CRISPR-GPT for agentic automation of gene-editing experiments. Nature Biomedical Engineering. 10(2). 405–405.
2.
Huang, Kaixuan, Ming Yin, Kehui Zhan, et al.. (2025). CRISPR-GPT for agentic automation of gene-editing experiments. Nature Biomedical Engineering. 10(2). 245–258. 16 indexed citations breakdown →
3.
Hebert, Jess D., Yuning J. Tang, Paloma Ruiz, et al.. (2025). Efficient and multiplexed somatic genome editing with Cas12a mice. Nature Biomedical Engineering. 9(11). 1982–1997. 2 indexed citations
4.
Marsiglia, Júlia Daher Carneiro, et al.. (2024). Computationally guided high-throughput engineering of an anti-CRISPR protein for precise genome editing in human cells. Cell Reports Methods. 4(10). 100882–100882. 5 indexed citations
5.
Wang, Chengkun, et al.. (2022). dCas9-based gene editing for cleavage-free genomic knock-in of long sequences. Nature Cell Biology. 24(2). 268–278. 52 indexed citations
7.
Guo, Hongchao, Lichao Liu, Masataka Nishiga, Le Cong, & Joseph C. Wu. (2021). Deciphering pathogenicity of variants of uncertain significance with CRISPR-edited iPSCs. Trends in Genetics. 37(12). 1109–1123. 17 indexed citations
8.
Cleary, Brian, et al.. (2017). Efficient Generation of Transcriptomic Profiles by Random Composite Measurements. Cell. 171(6). 1424–1436.e18. 65 indexed citations
9.
Tabebordbar, Mohammadsharif, Jie Cheng, Wei Leong Chew, et al.. (2016). In vivo gene editing in dystrophic mouse muscle and muscle stem cells. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
10.
Tabebordbar, Mohammadsharif, Kexian Zhu, Jason Cheng, et al.. (2015). In vivo gene editing in dystrophic mouse muscle and muscle stem cells. Science. 351(6271). 407–411. 788 indexed citations breakdown →
11.
Nishimasu, Hiroshi, Le Cong, Winston X. Yan, et al.. (2015). Crystal Structure of Staphylococcus aureus Cas9. Cell. 162(5). 1113–1126. 335 indexed citations
12.
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 →
13.
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 →
14.
Cong, Le, et al.. (2012). Comprehensive interrogation of natural TALE DNA-binding modules and transcriptional repressor domains. Nature Communications. 3(1). 968–968. 260 indexed citations
15.
Zhang, Feng, Le Cong, Simona Lodato, et al.. (2011). Efficient construction of sequence-specific TAL effectors for modulating mammalian transcription. Nature Biotechnology. 29(2). 149–153. 609 indexed citations breakdown →
16.
Hoa, Nguyen Thi Viet, et al.. (2009). Parasite egg contamination of vegetables from a suburban market in Hanoi, Vietnam.. PubMed. 11(2). 75–8. 71 indexed citations
17.
De, Nguyen Van, K. Darwin Murrell, Le Cong, et al.. (2003). The food-borne trematode zoonoses of Vietnam.. PubMed. 34 Suppl 1. 12–34. 111 indexed citations
18.
Erhart, Annette, Pierre Dorny, Nguyen Van De, et al.. (2002). Taenia solium cysticercosis in a village in northern Viet Nam: seroprevalence study using an ELISA for detecting circulating antigen. Transactions of the Royal Society of Tropical Medicine and Hygiene. 96(3). 270–272. 63 indexed citations
19.
Hewitt, Sean, Timothy M. E. Davis, Trần Quốc Toàn, et al.. (2001). Resistance of Plasmodium falciparum to antimalarial drugs in a highly endemic area of southern Viet Nam: a study in vivo and in vitro. Transactions of the Royal Society of Tropical Medicine and Hygiene. 95(3). 325–329. 39 indexed citations
20.
Svensson, U, Michael Ashton, Trinh Ngoc Hai, et al.. (1998). Artemisinin induces omeprazole metabolism in human beings*. Clinical Pharmacology & Therapeutics. 64(2). 160–167. 68 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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