Andrew Varble

1.6k total citations
20 papers, 1.1k citations indexed

About

Andrew Varble is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Andrew Varble has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Genetics. Recurrent topics in Andrew Varble's work include CRISPR and Genetic Engineering (8 papers), interferon and immune responses (6 papers) and RNA Interference and Gene Delivery (4 papers). Andrew Varble is often cited by papers focused on CRISPR and Genetic Engineering (8 papers), interferon and immune responses (6 papers) and RNA Interference and Gene Delivery (4 papers). Andrew Varble collaborates with scholars based in United States, Switzerland and Russia. Andrew Varble's co-authors include Benjamin R. tenOever, Adolfo Garcı́a-Sastre, Luciano A. Marraffini, David Sachs, Jasmine T. Perez, Simone Backes, Ravi Sachidanandam, Mark A. Chua, Ivan Zlatev and Muthiah Manoharan and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Andrew Varble

20 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Varble United States 17 682 341 315 212 157 20 1.1k
Joost Haasnoot Netherlands 20 1.3k 1.9× 153 0.4× 242 0.8× 266 1.3× 295 1.9× 22 1.7k
Corey A. Balinsky United States 12 368 0.5× 230 0.7× 267 0.8× 189 0.9× 91 0.6× 18 964
Osvaldo Zagordi Switzerland 19 591 0.9× 383 1.1× 92 0.3× 377 1.8× 229 1.5× 29 1.3k
Ashley Acevedo United States 13 788 1.2× 105 0.3× 98 0.3× 237 1.1× 351 2.2× 17 1.4k
Isabelle Bonne France 16 430 0.6× 170 0.5× 120 0.4× 236 1.1× 75 0.5× 25 995
Rui Pedro Galão United Kingdom 17 383 0.6× 249 0.7× 395 1.3× 362 1.7× 68 0.4× 22 1.1k
Soonjeon Youn United States 10 330 0.5× 159 0.5× 322 1.0× 778 3.7× 76 0.5× 13 1.3k
Stephanie J. Child United States 16 553 0.8× 492 1.4× 329 1.0× 115 0.5× 228 1.5× 21 1.1k
Melissa Kane United States 13 493 0.7× 311 0.9× 678 2.2× 506 2.4× 161 1.0× 22 1.5k
Svetlana Atasheva United States 26 550 0.8× 206 0.6× 423 1.3× 930 4.4× 265 1.7× 31 1.8k

Countries citing papers authored by Andrew Varble

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Varble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Varble

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Varble. A scholar is included among the top collaborators of Andrew Varble 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 Andrew Varble. Andrew Varble 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.
Bjånes, Elisabet, Axel B. Janssen, Samira Dahesh, et al.. (2024). An efficient in vivo -inducible CRISPR interference system for group A Streptococcus genetic analysis and pathogenesis studies. mBio. 15(8). e0084024–e0084024. 6 indexed citations
2.
Varble, Andrew, et al.. (2022). Cleavage of viral DNA by restriction endonucleases stimulates the type II CRISPR-Cas immune response. Molecular Cell. 82(5). 907–919.e7. 41 indexed citations
3.
Chen, Victor, et al.. (2021). RecT Recombinase Expression Enables Efficient Gene Editing in Enterococcus spp.. Applied and Environmental Microbiology. 87(18). e0084421–e0084421. 14 indexed citations
4.
Varble, Andrew, et al.. (2021). Prophage integration into CRISPR loci enables evasion of antiviral immunity in Streptococcus pyogenes. Nature Microbiology. 6(12). 1516–1525. 30 indexed citations
5.
Mo, Charlie Y., et al.. (2021). Type III-A CRISPR immunity promotes mutagenesis of staphylococci. Nature. 592(7855). 611–615. 34 indexed citations
6.
Varble, Andrew, Sean Meaden, Rodolphe Barrangou, Edze R. Westra, & Luciano A. Marraffini. (2019). Recombination between phages and CRISPR−cas loci facilitates horizontal gene transfer in staphylococci. Nature Microbiology. 4(6). 956–963. 35 indexed citations
7.
Varble, Andrew & Luciano A. Marraffini. (2019). Three New Cs for CRISPR: Collateral, Communicate, Cooperate. Trends in Genetics. 35(6). 446–456. 28 indexed citations
8.
Pyenson, Nora C., Kaitlyn Gayvert, Andrew Varble, Olivier Elemento, & Luciano A. Marraffini. (2017). Broad Targeting Specificity during Bacterial Type III CRISPR-Cas Immunity Constrains Viral Escape. Cell Host & Microbe. 22(3). 343–353.e3. 99 indexed citations
9.
Goldberg, Gregory W., Elizabeth A. McMillan, Andrew Varble, et al.. (2017). Incomplete prophage tolerance by type III-A CRISPR-Cas systems reduces the fitness of lysogenic hosts. Nature Communications. 9(1). 61–61. 31 indexed citations
10.
Varble, Andrew, et al.. (2016). The vesicular stomatitis virus matrix protein inhibits NF-κB activation in mouse L929 cells. Virology. 499. 99–104. 14 indexed citations
11.
Benitez, Asiel A., Maryline Panis, Jia Xue, et al.. (2015). In Vivo RNAi Screening Identifies MDA5 as a Significant Contributor to the Cellular Defense against Influenza A Virus. Cell Reports. 11(11). 1714–1726. 67 indexed citations
12.
Backes, Simone, Ryan A. Langlois, Sonja Schmid, et al.. (2014). The Mammalian Response to Virus Infection Is Independent of Small RNA Silencing. Cell Reports. 8(1). 114–125. 58 indexed citations
13.
Moy, Ryan H., Brian Cole, Ari Yasunaga, et al.. (2014). Stem-Loop Recognition by DDX17 Facilitates miRNA Processing and Antiviral Defense. Cell. 158(4). 764–777. 98 indexed citations
14.
Varble, Andrew, Randy A. Albrecht, Simone Backes, et al.. (2014). Influenza A Virus Transmission Bottlenecks Are Defined by Infection Route and Recipient Host. Cell Host & Microbe. 16(5). 691–700. 157 indexed citations
15.
Varble, Andrew, Asiel A. Benitez, Sonja Schmid, et al.. (2013). An In Vivo RNAi Screening Approach to Identify Host Determinants of Virus Replication. Cell Host & Microbe. 14(3). 346–356. 31 indexed citations
16.
Langlois, Ryan A., Andrew Varble, Mark A. Chua, Adolfo Garcı́a-Sastre, & Benjamin R. tenOever. (2012). Hematopoietic-specific targeting of influenza A virus reveals replication requirements for induction of antiviral immune responses. Proceedings of the National Academy of Sciences. 109(30). 12117–12122. 62 indexed citations
17.
Varble, Andrew & Benjamin R. tenOever. (2011). Implications of RNA virus-produced miRNAs. RNA Biology. 8(2). 190–194. 18 indexed citations
18.
Perez, Jasmine T., Andrew Varble, Ravi Sachidanandam, et al.. (2010). Influenza A virus-generated small RNAs regulate the switch from transcription to replication. Proceedings of the National Academy of Sciences. 107(25). 11525–11530. 161 indexed citations
19.
Varble, Andrew, et al.. (2010). Noncanonical cytoplasmic processing of viral microRNAs. RNA. 16(11). 2068–2074. 87 indexed citations
20.
Varble, Andrew, Mark A. Chua, Jasmine T. Perez, et al.. (2010). Engineered RNA viral synthesis of microRNAs. Proceedings of the National Academy of Sciences. 107(25). 11519–11524. 72 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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