C.M. Dunham

4.5k total citations · 2 hit papers
59 papers, 3.4k citations indexed

About

C.M. Dunham is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, C.M. Dunham has authored 59 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 20 papers in Genetics and 11 papers in Ecology. Recurrent topics in C.M. Dunham's work include RNA and protein synthesis mechanisms (45 papers), RNA modifications and cancer (31 papers) and Bacterial Genetics and Biotechnology (20 papers). C.M. Dunham is often cited by papers focused on RNA and protein synthesis mechanisms (45 papers), RNA modifications and cancer (31 papers) and Bacterial Genetics and Biotechnology (20 papers). C.M. Dunham collaborates with scholars based in United States, United Kingdom and Sweden. C.M. Dunham's co-authors include V. Ramakrishnan, Ann C. Kelley, M. Selmer, Albert Weixlbaumer, Sabine Petry, F.V. Murphy, John R. Weir, Tatsuya Maehigashi, Yong‐Gui Gao and W. G. Scott and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

C.M. Dunham

56 papers receiving 3.4k citations

Hit Papers

Structure of the 70 S Ribosome Complexed with mRNA and tRNA 2006 2026 2012 2019 2006 2009 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C.M. Dunham United States 27 3.0k 947 420 226 196 59 3.4k
Dominique Fourmy France 26 2.4k 0.8× 460 0.5× 283 0.7× 82 0.4× 140 0.7× 77 3.0k
Shun‐ichi Sekine Japan 32 3.5k 1.2× 1.0k 1.1× 444 1.1× 141 0.6× 292 1.5× 95 3.9k
M. Ortiz-Lombardı́a France 24 1.3k 0.5× 367 0.4× 378 0.9× 143 0.6× 159 0.8× 45 2.0k
Satoko Yoshizawa France 22 1.9k 0.6× 287 0.3× 213 0.5× 102 0.5× 136 0.7× 56 2.4k
Thomas Hartsch Germany 16 2.7k 0.9× 795 0.8× 465 1.1× 27 0.1× 286 1.5× 22 3.1k
Jannette Carey United States 31 2.5k 0.8× 786 0.8× 441 1.1× 72 0.3× 476 2.4× 87 2.9k
Lizbeth L. Videau United States 5 2.0k 0.7× 282 0.3× 192 0.5× 85 0.4× 448 2.3× 6 2.9k
L.N. Deis United States 5 2.0k 0.7× 285 0.3× 190 0.5× 83 0.4× 430 2.2× 5 2.9k
Alexander Serganov United States 36 4.8k 1.6× 1.2k 1.3× 362 0.9× 37 0.2× 261 1.3× 73 5.2k
Eric R. Geertsma Germany 22 1.5k 0.5× 448 0.5× 181 0.4× 272 1.2× 156 0.8× 48 2.3k

Countries citing papers authored by C.M. Dunham

Since Specialization
Citations

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

Fields of papers citing papers by C.M. Dunham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C.M. Dunham

This figure shows the co-authorship network connecting the top 25 collaborators of C.M. Dunham. A scholar is included among the top collaborators of C.M. Dunham 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 C.M. Dunham. C.M. Dunham 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.
Li, Haixing, et al.. (2025). An RNA modification prevents extended codon-anticodon interactions from facilitating +1 frameshifting. Nature Communications. 16(1). 7392–7392.
2.
Dunham, C.M., et al.. (2025). Regulation, structure, and activity of the Pseudomonas aeruginosa MexXY efflux system. Antimicrobial Agents and Chemotherapy. 69(5). e0182524–e0182524. 2 indexed citations
3.
Dey, Debayan, et al.. (2025). Basis for selective drug evasion of an aminoglycoside-resistance ribosomal RNA modification. Nature Communications. 16(1). 7992–7992.
5.
Eyler, Daniel E., Pooja Srinivas, C.M. Dunham, et al.. (2024). N1-Methylpseudouridine and pseudouridine modifications modulate mRNA decoding during translation. Nature Communications. 15(1). 8119–8119. 21 indexed citations
6.
Srinivas, Pooja, Meisam Nosrati, Natalia Zelinskaya, et al.. (2023). 30S subunit recognition and G1405 modification by the aminoglycoside-resistance 16S ribosomal RNA methyltransferase RmtC. Proceedings of the National Academy of Sciences. 120(25). e2304128120–e2304128120. 8 indexed citations
7.
Alumasa, John N., et al.. (2023). Antibiotic that inhibits trans -translation blocks binding of EF-Tu to tmRNA but not to tRNA. mBio. 14(5). e0146123–e0146123. 6 indexed citations
8.
Nguyen, Kien, et al.. (2022). Ratchet, swivel, tilt and roll: a complete description of subunit rotation in the ribosome. Nucleic Acids Research. 51(2). 919–934. 17 indexed citations
9.
Dey, Debayan, Natalia Zelinskaya, Pooja Srinivas, et al.. (2022). 50S subunit recognition and modification by the Mycobacterium tuberculosis ribosomal RNA methyltransferase TlyA. Proceedings of the National Academy of Sciences. 119(14). e2120352119–e2120352119. 17 indexed citations
10.
Srinivas, Pooja, Kenneth C. Keiler, & C.M. Dunham. (2022). Druggable differences: Targeting mechanistic differences between trans‐translation and translation for selective antibiotic action. BioEssays. 44(8). e2200046–e2200046. 3 indexed citations
11.
Dunham, C.M., et al.. (2021). ESKAPE velocity: total synthesis platforms promise to increase the pace and diversity of antibiotic development. Nature Structural & Molecular Biology. 29(1). 3–4. 1 indexed citations
12.
Aron, Zachary D., Eric D. Hoffer, Kristie L. Connolly, et al.. (2021). trans-Translation inhibitors bind to a novel site on the ribosome and clear Neisseria gonorrhoeae in vivo. Nature Communications. 12(1). 1799–1799. 29 indexed citations
13.
Srinivas, Pooja, et al.. (2021). Oxidation alters the architecture of the phenylalanyl-tRNA synthetase editing domain to confer hyperaccuracy. Nucleic Acids Research. 49(20). 11800–11809. 9 indexed citations
14.
Hoffer, Eric D., Samuel Hong, Tatsuya Maehigashi, et al.. (2020). Structural insights into mRNA reading frame regulation by tRNA modification and slippery codon–anticodon pairing. eLife. 9. 27 indexed citations
15.
Dunham, C.M., et al.. (2020). Disruption of evolutionarily correlated tRNA elements impairs accurate decoding. Proceedings of the National Academy of Sciences. 117(28). 16333–16338. 13 indexed citations
16.
Nosrati, Meisam, Debayan Dey, Natalia Zelinskaya, et al.. (2019). Functionally critical residues in the aminoglycoside resistance-associated methyltransferase RmtC play distinct roles in 30S substrate recognition. Journal of Biological Chemistry. 294(46). 17642–17653. 33 indexed citations
17.
Hoffer, Eric D., et al.. (2019). Importance of a tRNA anticodon loop modification and a conserved, noncanonical anticodon stem pairing in tRNACGGPro for decoding. Journal of Biological Chemistry. 294(14). 5281–5291. 31 indexed citations
18.
Hoffer, Eric D., Stacey J. Miles, & C.M. Dunham. (2017). The structure and function of Mycobacterium tuberculosis MazF-mt6 toxin provide insights into conserved features of MazF endonucleases. Journal of Biological Chemistry. 292(19). 7718–7726. 18 indexed citations
19.
Maehigashi, Tatsuya, et al.. (2017). Importance of the E. coli DinJ antitoxin carboxy terminus for toxin suppression and regulated proteolysis. Molecular Microbiology. 104(1). 65–77. 9 indexed citations
20.
Selmer, M., C.M. Dunham, F.V. Murphy, et al.. (2006). Structure of the 70 S Ribosome Complexed with mRNA and tRNA. Science. 313(5795). 1935–1942. 1036 indexed citations breakdown →

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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