David M.J. Lilley

24.4k total citations · 4 hit papers
350 papers, 19.8k citations indexed

About

David M.J. Lilley is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, David M.J. Lilley has authored 350 papers receiving a total of 19.8k indexed citations (citations by other indexed papers that have themselves been cited), including 316 papers in Molecular Biology, 51 papers in Genetics and 41 papers in Ecology. Recurrent topics in David M.J. Lilley's work include RNA and protein synthesis mechanisms (181 papers), DNA and Nucleic Acid Chemistry (169 papers) and Advanced biosensing and bioanalysis techniques (85 papers). David M.J. Lilley is often cited by papers focused on RNA and protein synthesis mechanisms (181 papers), DNA and Nucleic Acid Chemistry (169 papers) and Advanced biosensing and bioanalysis techniques (85 papers). David M.J. Lilley collaborates with scholars based in United Kingdom, United States and Germany. David M.J. Lilley's co-authors include Alastair I.H. Murchie, Timothy J. Wilson, Fritz Eckstein, Robert M. Clegg, D. Norman, Derek R. Duckett, Taekjip Ha, Anne‐Cécile Déclais, Lin Huang and Malcolm F. White and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

David M.J. Lilley

349 papers receiving 19.2k citations

Hit Papers

Nucleic Acids and Molecul... 1980 2026 1995 2010 1994 1992 1980 1996 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M.J. Lilley United Kingdom 74 18.1k 3.1k 2.0k 862 857 350 19.8k
Timothy M. Lohman United States 76 16.3k 0.9× 5.6k 1.8× 2.0k 1.0× 798 0.9× 1.0k 1.2× 195 18.1k
Éric Westhof France 85 21.5k 1.2× 2.4k 0.8× 2.5k 1.2× 976 1.1× 1.6k 1.8× 334 24.6k
Rolf Boelens Netherlands 64 13.2k 0.7× 2.3k 0.7× 763 0.4× 1.0k 1.2× 2.6k 3.1× 318 17.1k
Joseph D. Puglisi United States 61 11.8k 0.7× 1.7k 0.6× 1.1k 0.5× 340 0.4× 511 0.6× 173 13.3k
Paul T. Wingfield United States 67 9.8k 0.5× 1.1k 0.4× 1.8k 0.9× 509 0.6× 2.0k 2.3× 238 16.5k
Douglas H. Turner United States 67 18.6k 1.0× 2.0k 0.6× 1.9k 0.9× 1.1k 1.2× 856 1.0× 248 20.8k
Peter B. Moore United States 54 14.0k 0.8× 2.7k 0.9× 1.2k 0.6× 576 0.7× 1.8k 2.1× 206 16.3k
Peter H. von Hippel United States 82 23.1k 1.3× 6.5k 2.1× 3.2k 1.6× 1.1k 1.3× 2.3k 2.7× 250 28.3k
Paul Schimmel United States 82 21.9k 1.2× 3.5k 1.2× 783 0.4× 587 0.7× 1.6k 1.8× 422 24.3k
Steven J. Ludtke United States 59 9.7k 0.5× 1.3k 0.4× 1.2k 0.6× 406 0.5× 2.0k 2.4× 138 13.7k

Countries citing papers authored by David M.J. Lilley

Since Specialization
Citations

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

Fields of papers citing papers by David M.J. Lilley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M.J. Lilley. 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 M.J. Lilley. The network helps show where David M.J. Lilley may publish in the future.

Co-authorship network of co-authors of David M.J. Lilley

This figure shows the co-authorship network connecting the top 25 collaborators of David M.J. Lilley. A scholar is included among the top collaborators of David M.J. Lilley 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 M.J. Lilley. David M.J. Lilley 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.
Zhan, Xuelin, Timothy J. Wilson, Zhenzhen Li, et al.. (2024). The structure and catalytic mechanism of a pseudoknot-containing hammerhead ribozyme. Nature Communications. 15(1). 6628–6628. 5 indexed citations
2.
Wilson, Timothy J., Şölen Ekesan, Timothy J. Giese, et al.. (2024). The Role of General Acid Catalysis in the Mechanism of an Alkyl Transferase Ribozyme. ACS Catalysis. 14(20). 15294–15305. 5 indexed citations
3.
Saito, Renata de Freitas, Hui Wei, David M.J. Lilley, et al.. (2024). Cracking the Code: Enhancing Molecular Tools for Progress in Nanobiotechnology. ACS Applied Bio Materials. 7(6). 3587–3604. 7 indexed citations
4.
Huang, Lin, et al.. (2023). Linking folding dynamics and function of SAM/SAH riboswitches at the single molecule level. Nucleic Acids Research. 51(17). 8957–8969. 5 indexed citations
5.
Ekesan, Şölen, Timothy J. Giese, Timothy J. Wilson, et al.. (2023). Catalytic mechanism and pH dependence of a methyltransferase ribozyme (MTR1) from computational enzymology. Nucleic Acids Research. 51(9). 4508–4518. 9 indexed citations
6.
Deng, Jie, Xuemei Peng, Jia Wang, et al.. (2023). Structure and ion-dependent folding of k-junctions. RNA. 29(9). 1411–1422. 3 indexed citations
7.
Peng, Xuemei, et al.. (2023). Crystal structures of the NAD+-II riboswitch reveal two distinct ligand-binding pockets. Nucleic Acids Research. 51(6). 2904–2914. 18 indexed citations
8.
Deng, Jie, Xuemei Peng, Yuanlin He, et al.. (2022). Ribocentre: a database of ribozymes. Nucleic Acids Research. 51(D1). D262–D268. 17 indexed citations
9.
Deng, Jie, Timothy J. Wilson, Jia Wang, et al.. (2022). Structure and mechanism of a methyltransferase ribozyme. Nature Chemical Biology. 18(5). 556–564. 32 indexed citations
10.
Huang, Lin, Jia Wang, Andrew M. Watkins, Rhiju Das, & David M.J. Lilley. (2019). Structure and ligand binding of the glutamine-II riboswitch. Nucleic Acids Research. 47(14). 7666–7675. 20 indexed citations
11.
Huang, Lin, et al.. (2019). Effect of methylation of adenine N6 on kink turn structure depends on location. RNA Biology. 16(10). 1377–1385. 7 indexed citations
12.
Preus, Søren, et al.. (2017). Fluorescent RNA cytosine analogue – an internal probe for detailed structure and dynamics investigations. Scientific Reports. 7(1). 2393–2393. 23 indexed citations
13.
Lilley, David M.J.. (2012). The structure and folding of kink turns in RNA. Wiley Interdisciplinary Reviews - RNA. 3(6). 797–805. 30 indexed citations
14.
Schroeder, Kersten T., Peter Daldrop, Scott A. McPhee, & David M.J. Lilley. (2012). Structure and folding of a rare, natural kink turn in RNA with an A•A pair at the 2b•2n position. RNA. 18(6). 1257–1266. 18 indexed citations
15.
Wilson, Timothy J., Nan‐Sheng Li, Jun Lu, et al.. (2010). Nucleobase-mediated general acid-base catalysis in the Varkud satellite ribozyme. Proceedings of the National Academy of Sciences. 107(26). 11751–11756. 64 indexed citations
16.
Poulet, Anaïs, Rémi Buisson, Cendrine Faivre-Moskalenko, et al.. (2009). TRF2 promotes, remodels and protects telomeric Holliday junctions. The EMBO Journal. 28(6). 641–651. 93 indexed citations
17.
McKinney, Sean, Alasdair D. J. Freeman, David M.J. Lilley, & Taekjip Ha. (2005). Observing spontaneous branch migration of Holliday junctions one step at a time. Proceedings of the National Academy of Sciences. 102(16). 5715–5720. 75 indexed citations
18.
Lilley, David M.J.. (1999). RNA folding and catalysis. Genetica. 106(1-2). 95–102. 4 indexed citations
19.
Bianchi, Marco E. & David M.J. Lilley. (1995). DNA--protein interactions. Applying a genetic cantilever.. Nature. 375(6532). 1 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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