Pablo D. Dans

4.2k total citations · 1 hit paper
46 papers, 2.8k citations indexed

About

Pablo D. Dans is a scholar working on Molecular Biology, Ecology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Pablo D. Dans has authored 46 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 5 papers in Ecology and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Pablo D. Dans's work include DNA and Nucleic Acid Chemistry (25 papers), RNA and protein synthesis mechanisms (21 papers) and Protein Structure and Dynamics (10 papers). Pablo D. Dans is often cited by papers focused on DNA and Nucleic Acid Chemistry (25 papers), RNA and protein synthesis mechanisms (21 papers) and Protein Structure and Dynamics (10 papers). Pablo D. Dans collaborates with scholars based in Spain, Uruguay and United States. Pablo D. Dans's co-authors include Modesto Orozco, Jürgen Walther, Iván Ivani, Carlos González, Federica Battistini, Sergio Pantano, Alberto Pérez, Matías Machado, Alexandra Balaceanu and Ignacio Faustino and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Pablo D. Dans

43 papers receiving 2.8k citations

Hit Papers

Parmbsc1: a refined force field for DNA simulations 2015 2026 2018 2022 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pablo D. Dans Spain 24 2.4k 347 286 242 190 46 2.8k
Sarah A. Harris United Kingdom 26 2.3k 1.0× 341 1.0× 336 1.2× 273 1.1× 296 1.6× 81 2.9k
Marie Zgarbová Czechia 24 3.3k 1.4× 475 1.4× 280 1.0× 138 0.6× 242 1.3× 37 3.5k
Joanna Trylska Poland 29 2.0k 0.9× 379 1.1× 406 1.4× 172 0.7× 224 1.2× 110 2.6k
Nilesh K. Banavali United States 23 2.3k 1.0× 184 0.5× 413 1.4× 209 0.9× 307 1.6× 53 2.9k
Grzegorz Piszczek United States 33 2.1k 0.9× 150 0.4× 509 1.8× 182 0.8× 127 0.7× 92 3.3k
Isaiah T. Arkin Israel 40 3.4k 1.4× 178 0.5× 355 1.2× 145 0.6× 726 3.8× 107 4.7k
Daniel S. Terry United States 27 2.2k 0.9× 127 0.4× 274 1.0× 222 0.9× 120 0.6× 41 3.1k
Xiang‐Jun Lu United States 27 5.0k 2.1× 720 2.1× 418 1.5× 242 1.0× 179 0.9× 68 5.5k
Emmanuel Margeat France 29 2.5k 1.0× 353 1.0× 282 1.0× 339 1.4× 237 1.2× 63 3.5k
Filip Lankaš Czechia 28 2.9k 1.2× 638 1.8× 163 0.6× 211 0.9× 265 1.4× 52 3.1k

Countries citing papers authored by Pablo D. Dans

Since Specialization
Citations

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

Fields of papers citing papers by Pablo D. Dans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo D. Dans. 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 Pablo D. Dans. The network helps show where Pablo D. Dans may publish in the future.

Co-authorship network of co-authors of Pablo D. Dans

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo D. Dans. A scholar is included among the top collaborators of Pablo D. Dans 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 Pablo D. Dans. Pablo D. Dans 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.
Benedetto, J.M., et al.. (2025). Aptamers Meet Structural Bioinformatics, Computational Chemistry, and Artificial Intelligence. Wiley Interdisciplinary Reviews Computational Molecular Science. 15(5).
2.
Dans, Pablo D., et al.. (2024). Ramachandran-like Conformational Space for DNA. Journal of Chemical Information and Modeling. 64(21). 8339–8348.
3.
Darré, Leonardo, et al.. (2023). The pseudotorsional space of RNA. RNA. 29(12). 1896–1909. 3 indexed citations
4.
Melero, Roberto, Gabriela Sycz, Cristián Huck‐Iriart, et al.. (2023). A Fijivirus Major Viroplasm Protein Shows RNA-Stimulated ATPase Activity by Adopting Pentameric and Hexameric Assemblies of Dimers. mBio. 14(2). e0002323–e0002323.
5.
Dans, Pablo D., Miłosz Wieczór, Núria Villegas, et al.. (2022). Molecular basis or arginine and lysine DNA sequence-dependent thermo-stability modulation. Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona). 6 indexed citations
6.
Neguembor, Maria Victoria, Juan Pablo Arcon, Diana Buitrago, et al.. (2022). MiOS, an integrated imaging and computational strategy to model gene folding with nucleosome resolution. Nature Structural & Molecular Biology. 29(10). 1011–1023. 18 indexed citations
7.
Battistini, Federica, Pablo D. Dans, Montserrat Terrazas, et al.. (2021). The Impact of the HydroxyMethylCytosine epigenetic signature on DNA structure and function. PLoS Computational Biology. 17(11). e1009547–e1009547. 7 indexed citations
8.
Walther, Jürgen, et al.. (2020). A multi-modal coarse grained model of DNA flexibility mappable to the atomistic level. Nucleic Acids Research. 48(5). e29–e29. 29 indexed citations
9.
Dans, Pablo D., Alexandra Balaceanu, Marco Pasi, et al.. (2019). The static and dynamic structural heterogeneities of B-DNA: extending Calladine–Dickerson rules. Nucleic Acids Research. 47(21). 11090–11102. 38 indexed citations
10.
Darré, Leonardo, et al.. (2019). VeriNA3d: an R package for nucleic acids data mining. Bioinformatics. 35(24). 5334–5336. 4 indexed citations
11.
Balaceanu, Alexandra, Diana Buitrago, Jürgen Walther, Pablo D. Dans, & Modesto Orozco. (2019). Modulation of the helical properties of DNA: next-to-nearest neighbour effects and beyond. Nucleic Acids Research. 47(9). 4418–4430. 22 indexed citations
12.
Balaceanu, Alexandra, Alberto Pérez, Pablo D. Dans, & Modesto Orozco. (2018). Allosterism and signal transfer in DNA. Nucleic Acids Research. 46(15). 7554–7565. 20 indexed citations
13.
Dans, Pablo D., et al.. (2018). Modeling, Simulations, and Bioinformatics at the Service of RNA Structure. Chem. 5(1). 51–73. 25 indexed citations
14.
Dans, Pablo D., Iván Ivani, Guillem Portella, Carlos González, & Modesto Orozco. (2017). How accurate are accurate force-fields for B-DNA?. Nucleic Acids Research. 45(7). gkw1355–gkw1355. 108 indexed citations
15.
Darré, Leonardo, Iván Ivani, Pablo D. Dans, et al.. (2016). Small Details Matter: The 2′-Hydroxyl as a Conformational Switch in RNA. Journal of the American Chemical Society. 138(50). 16355–16363. 22 indexed citations
16.
Dans, Pablo D., Iván Ivani, Tomáš Dršata, et al.. (2016). Long-timescale dynamics of the Drew–Dickerson dodecamer. Nucleic Acids Research. 44(9). 4052–4066. 82 indexed citations
17.
Saint-Léger, Adélaïde, Pablo D. Dans, Adrián Gabriel Torres, et al.. (2016). Saturation of recognition elements blocks evolution of new tRNA identities. Science Advances. 2(4). e1501860–e1501860. 36 indexed citations
18.
Balaceanu, Alexandra, Marco Pasi, Pablo D. Dans, et al.. (2016). The Role of Unconventional Hydrogen Bonds in Determining BII Propensities in B-DNA. The Journal of Physical Chemistry Letters. 8(1). 21–28. 20 indexed citations
19.
Ivani, Iván, Pablo D. Dans, Agnes Noy, et al.. (2015). Parmbsc1: a refined force field for DNA simulations. Nature Methods. 13(1). 55–58. 822 indexed citations breakdown →
20.
Dans, Pablo D., Ignacio Faustino, Federica Battistini, et al.. (2014). Unraveling the sequence-dependent polymorphic behavior of d(CpG) steps in B-DNA. Nucleic Acids Research. 42(18). 11304–11320. 63 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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