Erik J. Sontheimer

19.4k total citations · 8 hit papers
92 papers, 13.7k citations indexed

About

Erik J. Sontheimer is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Erik J. Sontheimer has authored 92 papers receiving a total of 13.7k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Molecular Biology, 12 papers in Genetics and 8 papers in Plant Science. Recurrent topics in Erik J. Sontheimer's work include CRISPR and Genetic Engineering (49 papers), RNA and protein synthesis mechanisms (37 papers) and RNA Interference and Gene Delivery (26 papers). Erik J. Sontheimer is often cited by papers focused on CRISPR and Genetic Engineering (49 papers), RNA and protein synthesis mechanisms (37 papers) and RNA Interference and Gene Delivery (26 papers). Erik J. Sontheimer collaborates with scholars based in United States, Canada and China. Erik J. Sontheimer's co-authors include Richard W. Carthew, Luciano A. Marraffini, Joan A. Steitz, John Pham, Kevin Kim, Kenji Nakahara, Young Sik Lee, Zhengying He, Joseph A. Piccirilli and Wen Xue and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Erik J. Sontheimer

89 papers receiving 13.5k citations

Hit Papers

Origins and Mechanisms of miRNAs and siRNAs 2004 2026 2011 2018 2009 2008 2004 2010 2013 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik J. Sontheimer United States 45 11.9k 2.9k 1.8k 1.6k 967 92 13.7k
Enbo Ma China 46 11.8k 1.0× 1.1k 0.4× 1.7k 1.0× 1.7k 1.1× 563 0.6× 135 13.8k
Julia Joung United States 16 15.7k 1.3× 788 0.3× 2.1k 1.2× 1.8k 1.1× 515 0.5× 19 16.9k
Silvana Konermann United States 18 15.2k 1.3× 791 0.3× 2.7k 1.5× 1.7k 1.1× 261 0.3× 26 16.3k
Le Cong United States 34 17.5k 1.5× 706 0.2× 4.1k 2.3× 2.1k 1.3× 436 0.5× 60 20.7k
Wenyan Jiang China 19 13.7k 1.1× 467 0.2× 3.3k 1.9× 1.6k 1.0× 851 0.9× 39 15.5k
John G. Doench United States 51 15.7k 1.3× 3.8k 1.3× 2.1k 1.2× 1.0k 0.6× 140 0.1× 145 20.0k
Ambrosius P. Snijders United Kingdom 49 7.5k 0.6× 554 0.2× 1.2k 0.7× 603 0.4× 734 0.8× 151 10.4k
Hiroshi Nishimasu Japan 42 9.4k 0.8× 542 0.2× 1.4k 0.8× 1.3k 0.8× 187 0.2× 89 10.4k
Marc Güell Spain 20 8.8k 0.7× 338 0.1× 2.3k 1.3× 981 0.6× 407 0.4× 37 10.5k
Matthew H. Larson United States 14 8.2k 0.7× 445 0.2× 2.0k 1.1× 658 0.4× 396 0.4× 19 8.9k

Countries citing papers authored by Erik J. Sontheimer

Since Specialization
Citations

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

Fields of papers citing papers by Erik J. Sontheimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik J. Sontheimer. 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 Erik J. Sontheimer. The network helps show where Erik J. Sontheimer may publish in the future.

Co-authorship network of co-authors of Erik J. Sontheimer

This figure shows the co-authorship network connecting the top 25 collaborators of Erik J. Sontheimer. A scholar is included among the top collaborators of Erik J. Sontheimer 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 Erik J. Sontheimer. Erik J. Sontheimer 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.
Zheng, Chunwei, et al.. (2025). The reverse transcriptase domain of prime editors contributes to DNA repair in mammalian cells. Nature Biotechnology. 44(1). 146–153. 3 indexed citations
2.
Chen, Zexiang, Karen Kelly, Xiaolong Dong, et al.. (2023). In Vivo Prime Editing by Lipid Nanoparticle Co-Delivery of Chemically Modified pegRNA and Prime Editor mRNA. PubMed. 2(6). 490–502. 15 indexed citations
3.
Chen, Zexiang, Suet‐Yan Kwan, Aamir Mir, et al.. (2023). A Fluorescent Reporter Mouse for In Vivo Assessment of Genome Editing with Diverse Cas Nucleases and Prime Editors. The CRISPR Journal. 6(6). 570–582. 3 indexed citations
4.
Sontheimer, Erik J., et al.. (2023). Viruses use RNA decoys to thwart CRISPR defences. Nature. 623(7987). 490–491.
5.
Sontheimer, Erik J., et al.. (2023). Applications of Anti-CRISPR Proteins in Genome Editing and Biotechnology. Journal of Molecular Biology. 435(13). 168120–168120. 11 indexed citations
6.
Liang, Shun‐Qing, Pengpeng Liu, Jordan L. Smith, et al.. (2022). Genome-wide detection of CRISPR editing in vivo using GUIDE-tag. Nature Communications. 13(1). 437–437. 34 indexed citations
7.
Liu, Pengpeng, Ogooluwa Ojelabi, Xin D. Gao, et al.. (2022). Adenine Base Editing In Vivo with a Single Adeno-Associated Virus Vector. PubMed. 1(3). 285–299. 43 indexed citations
8.
Iyer, Sukanya, Aamir Mir, Joel Vega‐Badillo, et al.. (2022). Efficient Homology-Directed Repair with Circular Single-Stranded DNA Donors. The CRISPR Journal. 5(5). 685–701. 25 indexed citations
9.
Ibraheim, Raed, Phillip W.L. Tai, Aamir Mir, et al.. (2021). Self-inactivating, all-in-one AAV vectors for precision Cas9 genome editing via homology-directed repair in vivo. Nature Communications. 12(1). 6267–6267. 80 indexed citations
10.
Ojelabi, Ogooluwa, et al.. (2021). Orthogonal CRISPR-Cas tools for genome editing, inhibition, and CRISPR recording in zebrafish embryos. Genetics. 220(1). 15 indexed citations
11.
Liu, Pengpeng, Shun‐Qing Liang, Chunwei Zheng, et al.. (2021). Improved prime editors enable pathogenic allele correction and cancer modelling in adult mice. Nature Communications. 12(1). 2121–2121. 196 indexed citations breakdown →
12.
Ghanta, Krishna S., Zexiang Chen, Aamir Mir, et al.. (2021). 5′-Modifications improve potency and efficacy of DNA donors for precision genome editing. eLife. 10. 38 indexed citations
13.
Chatterjee, Pranam, Noah Jakimo, Jooyoung Lee, et al.. (2020). An engineered ScCas9 with broad PAM range and high specificity and activity. Nature Biotechnology. 38(10). 1154–1158. 93 indexed citations
14.
Chatterjee, Pranam, Jooyoung Lee, Emma Tysinger, et al.. (2020). A Cas9 with PAM recognition for adenine dinucleotides. Nature Communications. 11(1). 2474–2474. 76 indexed citations
15.
Amrani, Nadia, Xin D. Gao, Pengpeng Liu, et al.. (2018). NmeCas9 is an intrinsically high-fidelity genome-editing platform. Genome biology. 19(1). 214–214. 96 indexed citations
16.
Lee, Jooyoung, Aamir Mir, Alireza Edraki, et al.. (2018). Potent Cas9 Inhibition in Bacterial and Human Cells by AcrIIC4 and AcrIIC5 Anti-CRISPR Proteins. mBio. 9(6). 79 indexed citations
17.
Doudna, Jennifer A. & Erik J. Sontheimer. (2014). The use of CRISPR/Cas9, ZFNs, TALENs in generating site specific genome alterations. Academic Press eBooks. 4 indexed citations
18.
Preall, Jonathan, et al.. (2011). Blanks, a nuclear siRNA/dsRNA-binding complex component, is required for Drosophila spermiogenesis. Proceedings of the National Academy of Sciences. 108(8). 3204–3209. 24 indexed citations
19.
Carthew, Richard W. & Erik J. Sontheimer. (2009). Origins and Mechanisms of miRNAs and siRNAs. Cell. 136(4). 642–655. 3862 indexed citations breakdown →
20.
Marraffini, Luciano A. & Erik J. Sontheimer. (2008). CRISPR Interference Limits Horizontal Gene Transfer in Staphylococci by Targeting DNA. Science. 322(5909). 1843–1845. 1297 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.

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