Aaron A. Smargon

1.8k total citations · 2 hit papers
8 papers, 1.3k citations indexed

About

Aaron A. Smargon is a scholar working on Molecular Biology, Insect Science and Immunology. According to data from OpenAlex, Aaron A. Smargon has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Insect Science and 1 paper in Immunology. Recurrent topics in Aaron A. Smargon's work include CRISPR and Genetic Engineering (5 papers), RNA and protein synthesis mechanisms (5 papers) and Insect symbiosis and bacterial influences (3 papers). Aaron A. Smargon is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), RNA and protein synthesis mechanisms (5 papers) and Insect symbiosis and bacterial influences (3 papers). Aaron A. Smargon collaborates with scholars based in United States and Russia. Aaron A. Smargon's co-authors include Kira S. Makarova, Neena Pyzocha, David Cox, Jonathan S. Gootenberg, Sergey Shmakov, Eugene V. Koonin, Feng Zhang, Yuri I. Wolf, Omar O. Abudayyeh and Konstantin Severinov and has published in prestigious journals such as Nature Communications, Molecular Cell and Nature Cell Biology.

In The Last Decade

Aaron A. Smargon

7 papers receiving 1.3k citations

Hit Papers

Diversity and evolution of class 2 CRISPR–Cas systems 2017 2026 2020 2023 2017 2017 250 500 750
What are hit papers?

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.

  1. Diversity and evolution of class 2 CRISPR–Cas systems
    2017 761 citations Sergey Shmakov, Aaron A. Smargon et al. Nature Reviews Microbiology profile →
  2. Cas13b Is a Type VI-B CRISPR-Associated RNA-Guided RNase Differentially Regulated by Accessory Proteins Csx27 and Csx28
    2017 434 citations Aaron A. Smargon, David Cox et al. Molecular Cell profile →

Peers

Aaron A. Smargon
Iana Fedorova United States
Jiuyu Wang China
Isaac P. Witte United States
Hisato Hirano Japan
David R. Cheng United States
Addison V. Wright United States
Patrick Pausch Germany
Ole Niewoehner Switzerland
Jonathan Strecker United States
Russell T. Walton United States
Iana Fedorova United States
Aaron A. Smargon
Citations per year, relative to Aaron A. Smargon Aaron A. Smargon (= 1×) peers Iana Fedorova

Countries citing papers authored by Aaron A. Smargon

Since Specialization
Citations

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

Fields of papers citing papers by Aaron A. Smargon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron A. Smargon. 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 Aaron A. Smargon. The network helps show where Aaron A. Smargon may publish in the future.

Co-authorship network of co-authors of Aaron A. Smargon

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron A. Smargon. A scholar is included among the top collaborators of Aaron A. Smargon 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 Aaron A. Smargon. Aaron A. Smargon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Smargon, Aaron A., et al.. (2025). Enhancing RNA base editing on mammalian transcripts with small nuclear RNAs. Nature Chemical Biology.
2.
Morelli, Kathryn H., Aaron A. Smargon, & G Yeo. (2023). Programmable macromolecule-based RNA-targeting therapies to treat human neurological disorders. RNA. 29(4). 489–497. 1 indexed citations
3.
Smargon, Aaron A., Assael A. Madrigal, Brian A. Yee, et al.. (2022). Crosstalk between CRISPR-Cas9 and the human transcriptome. Nature Communications. 13(1). 1125–1125. 6 indexed citations
4.
Smargon, Aaron A., et al.. (2022). Engineered U1 snRNAs to modulate alternatively spliced exons. Methods. 205. 140–148. 9 indexed citations
5.
Smargon, Aaron A., et al.. (2020). RNA-targeting CRISPR systems from metagenomic discovery to transcriptomic engineering. Nature Cell Biology. 22(2). 143–150. 53 indexed citations
6.
Smargon, Aaron A., David Cox, Neena Pyzocha, et al.. (2017). Cas13b Is a Type VI-B CRISPR-Associated RNA-Guided RNase Differentially Regulated by Accessory Proteins Csx27 and Csx28. Molecular Cell. 65(4). 618–630.e7. 434 indexed citations breakdown →
7.
Shmakov, Sergey, Aaron A. Smargon, David Scott, et al.. (2017). Diversity and evolution of class 2 CRISPR–Cas systems. Nature Reviews Microbiology. 15(3). 169–182. 761 indexed citations breakdown →
8.
Lee, Pauline, Jill Waalen, Karen Crain, Aaron A. Smargon, & Ernest Beutler. (2007). Human chitotriosidase polymorphisms G354R and A442V associated with reduced enzyme activity. Blood Cells Molecules and Diseases. 39(3). 353–360. 50 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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