Kevin M. Weeks

18.5k total citations · 8 hit papers
175 papers, 13.3k citations indexed

About

Kevin M. Weeks is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Virology. According to data from OpenAlex, Kevin M. Weeks has authored 175 papers receiving a total of 13.3k indexed citations (citations by other indexed papers that have themselves been cited), including 164 papers in Molecular Biology, 17 papers in Cardiology and Cardiovascular Medicine and 12 papers in Virology. Recurrent topics in Kevin M. Weeks's work include RNA and protein synthesis mechanisms (150 papers), RNA modifications and cancer (104 papers) and RNA Research and Splicing (94 papers). Kevin M. Weeks is often cited by papers focused on RNA and protein synthesis mechanisms (150 papers), RNA modifications and cancer (104 papers) and RNA Research and Splicing (94 papers). Kevin M. Weeks collaborates with scholars based in United States, United Kingdom and South Africa. Kevin M. Weeks's co-authors include Kevin A. Wilkinson, Edward J. Merino, Donald M. Crothers, Steven Busan, Stefanie Mortimer, Christine E. Hajdin, David H. Mathews, Greggory M. Rice, Matthew J. Smola and K.D. Warner and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Kevin M. Weeks

171 papers receiving 13.2k citations

Hit Papers

RNA Structure Analysis at Single Nucleotide Resolu... 1990 2026 2002 2014 2005 2006 2009 2008 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin M. Weeks United States 57 12.1k 1.2k 1.1k 1.0k 940 175 13.3k
Joseph D. Puglisi United States 61 11.8k 1.0× 354 0.3× 493 0.5× 1.2k 1.2× 1.7k 1.8× 173 13.3k
Tom Ellenberger United States 52 8.9k 0.7× 770 0.7× 458 0.4× 109 0.1× 2.1k 2.2× 103 10.2k
James M. Berger United States 64 12.1k 1.0× 286 0.2× 1.3k 1.2× 157 0.2× 2.4k 2.6× 164 15.2k
Stewart Shuman United States 73 16.9k 1.4× 1.0k 0.9× 2.0k 1.8× 450 0.4× 3.2k 3.4× 483 21.3k
Olke C. Uhlenbeck United States 75 20.6k 1.7× 262 0.2× 444 0.4× 840 0.8× 3.4k 3.6× 212 22.4k
Alan D. Frankel United States 50 9.9k 0.8× 226 0.2× 4.2k 3.8× 523 0.5× 1.6k 1.7× 114 12.5k
Katarzyna Bębenek United States 51 7.5k 0.6× 1.3k 1.2× 1.6k 1.4× 84 0.1× 1.5k 1.6× 99 9.1k
Florence Baudin France 34 3.8k 0.3× 291 0.3× 411 0.4× 458 0.4× 481 0.5× 62 5.3k
Christopher P. Hill United States 61 10.0k 0.8× 320 0.3× 3.0k 2.8× 188 0.2× 1.1k 1.1× 138 13.3k
Aaron J. Shatkin United States 68 11.0k 0.9× 680 0.6× 726 0.7× 1.5k 1.5× 3.1k 3.3× 197 15.4k

Countries citing papers authored by Kevin M. Weeks

Since Specialization
Citations

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

Fields of papers citing papers by Kevin M. Weeks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin M. Weeks. 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 Kevin M. Weeks. The network helps show where Kevin M. Weeks may publish in the future.

Co-authorship network of co-authors of Kevin M. Weeks

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin M. Weeks. A scholar is included among the top collaborators of Kevin M. Weeks 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 Kevin M. Weeks. Kevin M. Weeks 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.
Weeks, Kevin M., et al.. (2025). Ligand-binding pockets in RNA and where to find them. Proceedings of the National Academy of Sciences. 122(17). e2422346122–e2422346122. 4 indexed citations
2.
Yang, Mo, et al.. (2025). Structure-informed design of an ultrabright RNA-activated fluorophore. Nature Chemistry. 17(8). 1188–1195. 1 indexed citations
3.
Khitun, Alexandra, et al.. (2025). Scaffold-enabled high-resolution cryo-EM structure determination of RNA. Nature Communications. 16(1). 880–880. 7 indexed citations
4.
Chen, Ling‐Ling, Nicholas T. Ingolia, Megan L. Insco, et al.. (2024). Voices: Challenges and opportunities in RNA biology. Cell chemical biology. 31(1). 10–13. 2 indexed citations
5.
Anczuków, Olga, Frédéric H.‐T. Allain, Brittany Angarola, et al.. (2024). Steering research on mRNA splicing in cancer towards clinical translation. Nature reviews. Cancer. 24(12). 887–905. 8 indexed citations
6.
Laederach, Alain, et al.. (2024). Visualizing RNA structure ensembles by single-molecule correlated chemical probing. Current Opinion in Structural Biology. 88. 102877–102877. 2 indexed citations
7.
Roden, Christine, Yifan Dai, Ian Seim, et al.. (2022). Double-stranded RNA drives SARS-CoV-2 nucleocapsid protein to undergo phase separation at specific temperatures. Nucleic Acids Research. 50(14). 8168–8192. 51 indexed citations
8.
Favorov, Oleg V., Kelin Li, Ashok Nuthanakanti, et al.. (2022). SHAPE-enabled fragment-based ligand discovery for RNA. Proceedings of the National Academy of Sciences. 119(20). e2122660119–e2122660119. 39 indexed citations
9.
Turner, Anne‐Marie W., et al.. (2022). Discovery of a large-scale, cell-state-responsive allosteric switch in the 7SK RNA using DANCE-MaP. Molecular Cell. 82(9). 1708–1723.e10. 52 indexed citations
11.
Langdon, Erin M., Yupeng Qiu, Amirhossein Ghanbari Niaki, et al.. (2018). mRNA structure determines specificity of a polyQ-driven phase separation. Science. 360(6391). 922–927. 382 indexed citations breakdown →
12.
Kutchko, Katrina M., Wes Sanders, Gabriela Phillips, et al.. (2015). Multiple conformations are a conserved and regulatory feature of the RB1 5′ UTR. RNA. 21(7). 1274–1285. 51 indexed citations
13.
Homan, Philip, Oleg V. Favorov, Christopher A. Lavender, et al.. (2014). Single-molecule correlated chemical probing of RNA. Proceedings of the National Academy of Sciences. 111(38). 13858–13863. 135 indexed citations
14.
Rice, Greggory M., Steven Busan, Fethullah Karabiber, Oleg V. Favorov, & Kevin M. Weeks. (2014). SHAPE Analysis of Small RNAs and Riboswitches. Methods in enzymology on CD-ROM/Methods in enzymology. 549. 165–187. 12 indexed citations
15.
Mortimer, Stefanie & Kevin M. Weeks. (2009). C2′-endo nucleotides as molecular timers suggested by the folding of an RNA domain. Proceedings of the National Academy of Sciences. 106(37). 15622–15627. 32 indexed citations
16.
Gherghe, Costin M., Zahra Shajani, Kevin A. Wilkinson, Gabriele Varani, & Kevin M. Weeks. (2008). Strong Correlation between SHAPE Chemistry and the Generalized NMR Order Parameter ( S 2 ) in RNA. Journal of the American Chemical Society. 130(37). 12244–12245. 81 indexed citations
17.
Mathews, David H., et al.. (2008). Accurate SHAPE-directed RNA structure determination. Proceedings of the National Academy of Sciences. 106(1). 97–102. 542 indexed citations breakdown →
18.
Wang, Bin, Kevin A. Wilkinson, & Kevin M. Weeks. (2008). Complex Ligand-Induced Conformational Changes in tRNA Asp Revealed by Single-Nucleotide Resolution SHAPE Chemistry. Biochemistry. 47(11). 3454–3461. 43 indexed citations
19.
Wilkinson, Kevin A., et al.. (2008). Lack of secondary structure characterizes the 5′ ends of mammalian mitochondrial mRNAs. RNA. 14(5). 862–871. 47 indexed citations
20.
Merino, Edward J., et al.. (2002). Catalysis of amide synthesis by RNA phosphodiester and hydroxyl groups. Proceedings of the National Academy of Sciences. 99(23). 14688–14693. 34 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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