David P. Bartel

196.6k total citations · 59 hit papers
191 papers, 141.9k citations indexed

About

David P. Bartel is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, David P. Bartel has authored 191 papers receiving a total of 141.9k indexed citations (citations by other indexed papers that have themselves been cited), including 166 papers in Molecular Biology, 75 papers in Cancer Research and 30 papers in Plant Science. Recurrent topics in David P. Bartel's work include RNA Research and Splicing (73 papers), MicroRNA in disease regulation (69 papers) and RNA and protein synthesis mechanisms (67 papers). David P. Bartel is often cited by papers focused on RNA Research and Splicing (73 papers), MicroRNA in disease regulation (69 papers) and RNA and protein synthesis mechanisms (67 papers). David P. Bartel collaborates with scholars based in United States, France and Canada. David P. Bartel's co-authors include Christopher B. Burge, Matthew W. Jones-Rhoades, Lee P. Lim, Kyle Kai‐How Farh, Bonnie Bartel, Robin C. Friedman, Jin‐Wu Nam, George W. Bell, Igor Ulitsky and Nelson C. Lau and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

David P. Bartel

187 papers receiving 139.6k citations

Hit Papers

MicroRNAs 1989 2026 2001 2013 2004 2009 2008 2015 2003 5.0k 10.0k 15.0k 20.0k 25.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David P. Bartel United States 104 112.0k 83.9k 23.4k 8.5k 6.2k 191 141.9k
Gregory J. Hannon United States 142 84.2k 0.8× 35.0k 0.4× 18.5k 0.8× 6.6k 0.8× 10.4k 1.7× 320 104.6k
Thomas Tuschl United States 103 61.7k 0.6× 34.7k 0.4× 7.2k 0.3× 7.4k 0.9× 5.3k 0.9× 222 75.2k
Cole Trapnell United States 60 58.9k 0.5× 16.6k 0.2× 16.3k 0.7× 9.6k 1.1× 9.4k 1.5× 102 85.0k
Wolfgang Huber Germany 72 67.0k 0.6× 14.6k 0.2× 17.8k 0.8× 12.8k 1.5× 12.6k 2.0× 249 109.8k
John L. Rinn United States 83 52.5k 0.5× 36.3k 0.4× 5.5k 0.2× 4.6k 0.5× 4.8k 0.8× 144 65.1k
Howard Y. Chang United States 125 66.3k 0.6× 40.5k 0.5× 3.3k 0.1× 8.4k 1.0× 5.5k 0.9× 350 83.5k
Simon Anders Germany 31 51.5k 0.5× 11.8k 0.1× 15.8k 0.7× 10.7k 1.3× 9.6k 1.5× 59 87.9k
Aviv Regev United States 129 61.9k 0.6× 20.4k 0.2× 3.6k 0.2× 11.4k 1.3× 6.4k 1.0× 319 80.8k
Phillip A. Sharp United States 156 76.5k 0.7× 18.8k 0.2× 5.8k 0.2× 8.3k 1.0× 17.3k 2.8× 433 92.7k
Michael I. Love United States 31 39.1k 0.3× 8.9k 0.1× 11.3k 0.5× 8.8k 1.0× 7.0k 1.1× 93 68.1k

Countries citing papers authored by David P. Bartel

Since Specialization
Citations

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

Fields of papers citing papers by David P. Bartel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David P. Bartel. 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 David P. Bartel. The network helps show where David P. Bartel may publish in the future.

Co-authorship network of co-authors of David P. Bartel

This figure shows the co-authorship network connecting the top 25 collaborators of David P. Bartel. A scholar is included among the top collaborators of David P. Bartel 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 David P. Bartel. David P. Bartel 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.
Ziehr, David R., Martin S. Taylor, Max L. Valenstein, et al.. (2025). Polyglycine-mediated aggregation of FAM98B disrupts tRNA processing in GGC repeat disorders. Science. 389(6757). eado2403–eado2403.
2.
Shi, Charlie Y., et al.. (2020). The ZSWIM8 ubiquitin ligase mediates target-directed microRNA degradation. Science. 370(6523). 156 indexed citations
3.
McGeary, Sean E., Kathy S. Lin, Charlie Y. Shi, et al.. (2019). The biochemical basis of microRNA targeting efficacy. Science. 366(6472). 937 indexed citations breakdown →
4.
Bartel, David P.. (2018). Metazoan MicroRNAs. Cell. 173(1). 20–51. 2629 indexed citations breakdown →
5.
Guo, Junjie U. & David P. Bartel. (2016). RNA G-quadruplexes are globally unfolded in eukaryotic cells and depleted in bacteria. Science. 353(6306). 353 indexed citations breakdown →
6.
Guo, Junjie U., Vikram Agarwal, Huili Guo, & David P. Bartel. (2014). Expanded identification and characterization of mammalian circular RNAs. Genome biology. 15(7). 409–409. 1269 indexed citations breakdown →
7.
Drinnenberg, Ines A., Gerald R. Fink, & David P. Bartel. (2011). Compatibility with Killer Explains the Rise of RNAi-Deficient Fungi. Science. 333(6049). 1592–1592. 9 indexed citations
8.
Drinnenberg, Ines A., David E. Weinberg, Kathleen T. Xie, et al.. (2009). RNAi in Budding Yeast. Science. 326(5952). 544–550. 399 indexed citations
9.
Bartel, David P.. (2009). History and Memory: Present Reflections on the Past to Build Our Future.. China Perspectives. 2009(3). 1 indexed citations
10.
Shechner, David M, Robert A. Grant, Sarah C. Bagby, et al.. (2009). Crystal Structure of the Catalytic Core of an RNA-Polymerase Ribozyme. Science. 326(5957). 1271–1275. 100 indexed citations
11.
Lau, Nelson C., Anita G. Seto, Jin‐Kuk Kim, et al.. (2006). Characterization of the piRNA Complex from Rat Testes. Science. 313(5785). 363–367. 727 indexed citations breakdown →
12.
Mallory, Allison C., David P. Bartel, & Bonnie Bartel. (2005). MicroRNA-Directed Regulation of Arabidopsis AUXIN RESPONSE FACTOR17 Is Essential for Proper Development and Modulates Expression of Early Auxin Response Genes. The Plant Cell. 17(5). 1360–1375. 711 indexed citations breakdown →
13.
Giráldez, Antonio J., Ryan M. Cinalli, Margaret E. Glasner, et al.. (2005). MicroRNAs Regulate Brain Morphogenesis in Zebrafish. Science. 308(5723). 833–838. 1030 indexed citations breakdown →
14.
Axtell, Michael J. & David P. Bartel. (2005). Antiquity of MicroRNAs and Their Targets in Land Plants. The Plant Cell. 17(6). 1658–1673. 473 indexed citations
15.
Farh, Kyle Kai‐How, Andrew Grimson, Benjamin P. Lewis, et al.. (2005). The Widespread Impact of Mammalian MicroRNAs on mRNA Repression and Evolution. Science. 310(5755). 1817–1821. 1219 indexed citations breakdown →
16.
Yekta, Soraya, I‐hung Shih, & David P. Bartel. (2004). MicroRNA-Directed Cleavage of HOXB8 mRNA. Science. 304(5670). 594–596. 1369 indexed citations breakdown →
17.
Ambros, Victor, Bonnie Bartel, David P. Bartel, et al.. (2003). A uniform system for microRNA annotation. RNA. 9(3). 277–279. 1449 indexed citations breakdown →
18.
Chen, Chang‐Zheng, Ling Li, Harvey F. Lodish, & David P. Bartel. (2003). MicroRNAs Modulate Hematopoietic Lineage Differentiation. Science. 303(5654). 83–86. 2706 indexed citations breakdown →
19.
Unrau, Peter J. & David P. Bartel. (2003). An oxocarbenium-ion intermediate of a ribozyme reaction indicated by kinetic isotope effects. Proceedings of the National Academy of Sciences. 100(26). 15393–15397. 24 indexed citations
20.
Baskerville, Scott & David P. Bartel. (2002). A ribozyme that ligates RNA to protein. Proceedings of the National Academy of Sciences. 99(14). 9154–9159. 35 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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