Kelly M. Thayer

1.9k total citations
40 papers, 1.4k citations indexed

About

Kelly M. Thayer is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Kelly M. Thayer has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Kelly M. Thayer's work include RNA and protein synthesis mechanisms (17 papers), Protein Structure and Dynamics (12 papers) and DNA and Nucleic Acid Chemistry (8 papers). Kelly M. Thayer is often cited by papers focused on RNA and protein synthesis mechanisms (17 papers), Protein Structure and Dynamics (12 papers) and DNA and Nucleic Acid Chemistry (8 papers). Kelly M. Thayer collaborates with scholars based in United States, Switzerland and France. Kelly M. Thayer's co-authors include David L. Beveridge, Sergei Y. Ponomarev, David L. Beveridge, Surjit B. Dixit, Bruce Tidor, Parayil Kumaran Ajikumar, Gregory Stephanopoulos, Kristala L. J. Prather, Effendi Leonard and Wenhai Xiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Kelly M. Thayer

35 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kelly M. Thayer United States 13 1.2k 136 127 119 100 40 1.4k
Kristin A. Sannes‐Lowery United States 24 1.3k 1.0× 132 1.0× 86 0.7× 139 1.2× 69 0.7× 37 1.9k
Federica Battistini Spain 17 1.5k 1.2× 78 0.6× 172 1.4× 110 0.9× 38 0.4× 34 1.7k
John Badger United States 20 822 0.7× 53 0.4× 62 0.5× 94 0.8× 100 1.0× 48 1.3k
Jozef Hritz Czechia 20 833 0.7× 41 0.3× 27 0.2× 40 0.3× 150 1.5× 50 1.2k
Xianyang Fang China 17 815 0.7× 32 0.2× 56 0.4× 88 0.7× 95 0.9× 51 1.1k
David P. Remeta United States 21 948 0.8× 77 0.6× 42 0.3× 121 1.0× 61 0.6× 38 1.3k
Florent Barbault France 22 691 0.6× 83 0.6× 28 0.2× 130 1.1× 200 2.0× 60 1.3k
Francisco Conejero‐Lara Spain 21 918 0.8× 42 0.3× 40 0.3× 68 0.6× 98 1.0× 61 1.3k
Petety V. Balaji India 21 1.2k 0.9× 42 0.3× 69 0.5× 123 1.0× 35 0.3× 63 1.5k
J. Krucinski United States 6 1.1k 0.9× 208 1.5× 38 0.3× 69 0.6× 299 3.0× 6 1.4k

Countries citing papers authored by Kelly M. Thayer

Since Specialization
Citations

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

Fields of papers citing papers by Kelly M. Thayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kelly M. Thayer

This figure shows the co-authorship network connecting the top 25 collaborators of Kelly M. Thayer. A scholar is included among the top collaborators of Kelly M. Thayer 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 Kelly M. Thayer. Kelly M. Thayer 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.
Thayer, Kelly M., et al.. (2025). Structural and mechanistic diversity in p53-mediated regulation of organismal longevity across taxonomical orders. PLoS Computational Biology. 21(5). e1012382–e1012382.
2.
Hwang, P. P., et al.. (2024). GNN Codon Adjacency Tunes Protein Translation. International Journal of Molecular Sciences. 25(11). 5914–5914. 1 indexed citations
3.
4.
Thayer, Kelly M., et al.. (2024). Navigating the complexity of p53-DNA binding: implications for cancer therapy. Biophysical Reviews. 16(4). 479–496. 2 indexed citations
5.
Jayaraj, Abhilash, Kelly M. Thayer, David L. Beveridge, & Manju Hingorani. (2023). Molecular dynamics of mismatch detection—How MutS uses indirect readout to find errors in DNA. Biophysical Journal. 122(15). 3031–3043. 4 indexed citations
6.
Beveridge, David L., et al.. (2023). Allosteric Signaling in PDZ Energetic Networks: Embedding Error Analysis. The Journal of Physical Chemistry B. 127(3). 623–633.
7.
Thayer, Kelly M., et al.. (2022). The CAR–mRNA Interaction Surface Is a Zipper Extension of the Ribosome A Site. International Journal of Molecular Sciences. 23(3). 1417–1417. 1 indexed citations
8.
Langley, David R., et al.. (2022). Mutagenic Activation of Glutathione Peroxidase-4: Approaches toward Rational Design of Allosteric Drugs. ACS Omega. 7(34). 29587–29597. 5 indexed citations
9.
Thayer, Kelly M., et al.. (2021). Arginine Methylation Regulates Ribosome CAR Function. International Journal of Molecular Sciences. 22(3). 1335–1335. 3 indexed citations
10.
Jasuja, Ravi, Abhilash Jayaraj, Liming Peng, et al.. (2021). Estradiol induces allosteric coupling and partitioning of sex-hormone-binding globulin monomers among conformational states. iScience. 24(6). 102414–102414. 12 indexed citations
11.
Glickman, Jacob W., et al.. (2020). GCN sensitive protein translation in yeast. PLoS ONE. 15(9). e0233197–e0233197. 5 indexed citations
12.
Thayer, Kelly M., et al.. (2017). Evolutionary Covariance Combined with Molecular Dynamics Predicts a Framework for Allostery in the MutS DNA Mismatch Repair Protein. The Journal of Physical Chemistry B. 121(9). 2049–2061. 16 indexed citations
13.
Thayer, Kelly M., et al.. (2017). Molecular Dynamics–Markov State Model of Protein Ligand Binding and Allostery in CRIB-PDZ: Conformational Selection and Induced Fit. The Journal of Physical Chemistry B. 121(22). 5509–5514. 35 indexed citations
14.
Thayer, Kelly M., et al.. (2017). Chemical principles additive model aligns low consensus DNA targets of p53 tumor suppressor protein. Computational Biology and Chemistry. 68. 186–193. 2 indexed citations
15.
Thayer, Kelly M. & Taylor R. Quinn. (2015). p53 R175H hydrophobic patch and H‐bond reorganization observed by MD simulation. Biopolymers. 105(3). 176–185. 7 indexed citations
16.
Quinn, Taylor R. & Kelly M. Thayer. (2015). Structural Point Mutations of p53 Protein and Their Effects on the Zinc Coordination Complex. The FASEB Journal. 29(S1). 1 indexed citations
17.
Aragam, Nagesh, Kelly M. Thayer, Irving Hoffman, et al.. (2013). Diversity of T Cell Epitopes in Plasmodium falciparum Circumsporozoite Protein Likely Due to Protein-Protein Interactions. PLoS ONE. 8(5). e62427–e62427. 16 indexed citations
18.
Roscoe, Benjamin P., Kelly M. Thayer, Konstantin B. Zeldovich, David Fushman, & Daniel N. Bolon. (2013). Analyses of the Effects of All Ubiquitin Point Mutants on Yeast Growth Rate. Journal of Molecular Biology. 425(8). 1363–1377. 157 indexed citations
19.
Ali, Akbar, R.M. Bandaranayake, Yufeng Cai, et al.. (2010). Molecular Basis for Drug Resistance in HIV-1 Protease. Viruses. 2(11). 2509–2535. 113 indexed citations
20.
Ponomarev, Sergei Y., Kelly M. Thayer, & David L. Beveridge. (2004). Ion motions in molecular dynamics simulations on DNA. Proceedings of the National Academy of Sciences. 101(41). 14771–14775. 200 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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