David Rueda

5.0k total citations
104 papers, 3.5k citations indexed

About

David Rueda is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, David Rueda has authored 104 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Immunology. Recurrent topics in David Rueda's work include RNA and protein synthesis mechanisms (50 papers), Advanced biosensing and bioanalysis techniques (33 papers) and RNA Research and Splicing (27 papers). David Rueda is often cited by papers focused on RNA and protein synthesis mechanisms (50 papers), Advanced biosensing and bioanalysis techniques (33 papers) and RNA Research and Splicing (27 papers). David Rueda collaborates with scholars based in United Kingdom, United States and Switzerland. David Rueda's co-authors include Nils G. Walter, Krishanthi S. Karunatilaka, Adam D. Cawte, Peter J. Unrau, Rajan Lamichhane, Bishnu P. Paudel, Louis J. Romano, Elvin A. Alemán, Roland K. O. Sigel and Matthew D. Newton and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

David Rueda

100 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Rueda United Kingdom 36 3.1k 307 268 194 184 104 3.5k
Andreas Hoenger United States 40 3.2k 1.1× 361 1.2× 264 1.0× 154 0.8× 198 1.1× 99 4.9k
Kazuhiro Maeshima Japan 41 5.3k 1.7× 463 1.5× 279 1.0× 110 0.6× 137 0.7× 89 6.1k
John van Noort Netherlands 30 3.0k 1.0× 338 1.1× 105 0.4× 325 1.7× 318 1.7× 66 3.5k
Sua Myong United States 41 5.6k 1.8× 397 1.3× 430 1.6× 278 1.4× 135 0.7× 111 6.6k
Stefan Pfeffer Germany 30 2.3k 0.8× 264 0.9× 163 0.6× 110 0.6× 157 0.9× 63 3.2k
Karsten Richter Germany 24 1.7k 0.6× 225 0.7× 133 0.5× 132 0.7× 110 0.6× 60 2.5k
Michael G. Poirier United States 35 3.3k 1.1× 221 0.7× 81 0.3× 214 1.1× 172 0.9× 102 3.8k
Xiao Xie China 17 1.9k 0.6× 560 1.8× 340 1.3× 183 0.9× 80 0.4× 27 2.4k
Ilya J. Finkelstein United States 39 3.5k 1.1× 413 1.3× 259 1.0× 213 1.1× 825 4.5× 98 4.5k
Timothy J. Wilson United Kingdom 31 2.3k 0.8× 227 0.7× 225 0.8× 209 1.1× 125 0.7× 76 2.8k

Countries citing papers authored by David Rueda

Since Specialization
Citations

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

Fields of papers citing papers by David Rueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Rueda

This figure shows the co-authorship network connecting the top 25 collaborators of David Rueda. A scholar is included among the top collaborators of David Rueda 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 Rueda. David Rueda 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.
Jalal, Adam S. B., et al.. (2024). Nucleosome flipping drives kinetic proofreading and processivity by SWR1. Nature. 636(8041). 251–257. 4 indexed citations
2.
Ploetz, Evelyn, Benjamin Ambrose, Anders Barth, et al.. (2023). A new twist on PIFE: photoisomerisation-related fluorescence enhancement. Methods and Applications in Fluorescence. 12(1). 12001–12001. 15 indexed citations
3.
Anand, Roopesh, Ondrej Beláň, Matthew D. Newton, et al.. (2021). HELQ is a dual-function DSB repair enzyme modulated by RPA and RAD51. Nature. 601(7892). 268–273. 44 indexed citations
4.
Beláň, Ondrej, Consuelo Barroso, Artur Kaczmarczyk, et al.. (2021). Single-molecule analysis reveals cooperative stimulation of Rad51 filament nucleation and growth by mediator proteins. Molecular Cell. 81(5). 1058–1073.e7. 53 indexed citations
5.
Cawte, Adam D., Peter J. Unrau, & David Rueda. (2020). Live cell imaging of single RNA molecules with fluorogenic Mango II arrays. Nature Communications. 11(1). 1283–1283. 112 indexed citations
6.
Gutiérrez-Escribano, Pilar, Matthew D. Newton, Aida Llauró, et al.. (2019). A conserved ATP- and Scc2/4-dependent activity for cohesin in tethering DNA molecules. Science Advances. 5(11). eaay6804–eaay6804. 37 indexed citations
7.
Wilson, Marcus D., Ludovic Renault, Daniel P. Maskell, et al.. (2019). Retroviral integration into nucleosomes through DNA looping and sliding along the histone octamer. Nature Communications. 10(1). 4189–4189. 33 indexed citations
8.
Autour, Alexis, Sunny C.Y. Jeng, Adam D. Cawte, et al.. (2018). Fluorogenic RNA Mango aptamers for imaging small non-coding RNAs in mammalian cells. Nature Communications. 9(1). 656–656. 207 indexed citations
9.
Willhöft, Oliver, Mohamed Ghoneim, Chia‐Liang Lin, et al.. (2018). Structure and dynamics of the yeast SWR1-nucleosome complex. Science. 362(6411). 118 indexed citations
10.
Biśta, Michał, Matthew D. Newton, Anne U. Goeppert, et al.. (2017). Mapping the sugar dependency for rational generation of a DNA-RNA hybrid-guided Cas9 endonuclease. Nature Communications. 8(1). 1610–1610. 54 indexed citations
11.
Kit, Wai, et al.. (2016). Recruitment, Duplex Unwinding and Protein-Mediated Inhibition of the Dead-Box RNA Helicase Dbp2 at Actively Transcribed Chromatin. Journal of Molecular Biology. 428(6). 1091–1106. 29 indexed citations
12.
Romano, Louis J., et al.. (2013). Carcinogenic adducts induce distinct DNA polymerase binding orientations. Nucleic Acids Research. 41(16). 7843–7853. 17 indexed citations
13.
Lamichhane, Rajan, Gerrit M. Daubner, Judith Thomas-Crusells, et al.. (2010). RNA looping by PTB: Evidence using FRET and NMR spectroscopy for a role in splicing repression. Proceedings of the National Academy of Sciences. 107(9). 4105–4110. 84 indexed citations
14.
Zhao, Rui, et al.. (2010). Laser-Assisted Single-Molecule Refolding (LASR). Biophysical Journal. 99(6). 1925–1931. 24 indexed citations
15.
Alemán, Elvin A., et al.. (2009). Covalent‐Bond‐Based Immobilization Approaches for Single‐Molecule Fluorescence. ChemBioChem. 10(18). 2862–2866. 17 indexed citations
16.
Rueda, David, et al.. (2009). Ca2+ Induces the Formation of Two Distinct Subpopulations of Group II Intron Molecules. Angewandte Chemie International Edition. 48(51). 9739–9742. 30 indexed citations
17.
Ditzler, Mark A., David Rueda, Jingjie Mo, Kristina Håkansson, & Nils G. Walter. (2008). A rugged free energy landscape separates multiple functional RNA folds throughout denaturation. Nucleic Acids Research. 36(22). 7088–7099. 64 indexed citations
18.
Rueda, David & Nils G. Walter. (2006). Fluorescent Energy Transfer Readout of an Aptazyme-Based Biosensor. Humana Press eBooks. 335. 289–310. 29 indexed citations
19.
Rueda, David, et al.. (2004). Single-molecule enzymology of RNA: Essential functional groups impact catalysis from a distance. Proceedings of the National Academy of Sciences. 101(27). 10066–10071. 117 indexed citations
20.
Rueda, David, et al.. (2004). Probing potential metal binding sites in a kissing loop hammerhead ribozyme. Biophysical Journal. 86(1). 144. 2 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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