Sandro Bottaro

4.0k total citations · 1 hit paper
32 papers, 1.6k citations indexed

About

Sandro Bottaro is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Sandro Bottaro has authored 32 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 6 papers in Materials Chemistry and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Sandro Bottaro's work include RNA and protein synthesis mechanisms (19 papers), Protein Structure and Dynamics (14 papers) and DNA and Nucleic Acid Chemistry (8 papers). Sandro Bottaro is often cited by papers focused on RNA and protein synthesis mechanisms (19 papers), Protein Structure and Dynamics (14 papers) and DNA and Nucleic Acid Chemistry (8 papers). Sandro Bottaro collaborates with scholars based in Denmark, Italy and United States. Sandro Bottaro's co-authors include Kresten Lindorff‐Larsen, Giovanni Bussi, Jiřı́ Šponer, Pavel Banáš, Alejandro Gil-Ley, Giovanni Pinamonti, Michal Otyepka, Simón Poblete, Petr Jurečka and Nils G. Walter and has published in prestigious journals such as Science, Chemical Reviews and Journal of the American Chemical Society.

In The Last Decade

Sandro Bottaro

31 papers receiving 1.6k citations

Hit Papers

RNA Structural Dynamics As Captured by Molecular Simulati... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandro Bottaro Denmark 20 1.5k 314 150 127 110 32 1.6k
Abhishek Singharoy United States 23 1.0k 0.7× 294 0.9× 108 0.7× 204 1.6× 107 1.0× 76 1.5k
Weihua Zheng United States 21 1.2k 0.8× 406 1.3× 139 0.9× 136 1.1× 82 0.7× 36 1.4k
Jaewoon Jung Japan 19 937 0.6× 351 1.1× 160 1.1× 259 2.0× 69 0.6× 45 1.3k
Roberto Covino Germany 16 1.0k 0.7× 209 0.7× 68 0.5× 145 1.1× 108 1.0× 37 1.6k
Tod D. Romo United States 17 1.2k 0.8× 281 0.9× 135 0.9× 121 1.0× 53 0.5× 40 1.4k
Matías Machado Uruguay 17 981 0.7× 252 0.8× 80 0.5× 119 0.9× 175 1.6× 31 1.2k
Timothy R. Lezon United States 13 1.3k 0.9× 334 1.1× 141 0.9× 111 0.9× 58 0.5× 24 1.6k
Jakob Dogan Sweden 21 1.3k 0.9× 565 1.8× 156 1.0× 65 0.5× 43 0.4× 33 1.6k
Samuel S. Cho United States 17 1.2k 0.8× 562 1.8× 107 0.7× 148 1.2× 87 0.8× 33 1.4k
Kei-ichi Okazaki Japan 16 1.1k 0.7× 349 1.1× 138 0.9× 185 1.5× 44 0.4× 28 1.2k

Countries citing papers authored by Sandro Bottaro

Since Specialization
Citations

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

Fields of papers citing papers by Sandro Bottaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandro Bottaro

This figure shows the co-authorship network connecting the top 25 collaborators of Sandro Bottaro. A scholar is included among the top collaborators of Sandro Bottaro 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 Sandro Bottaro. Sandro Bottaro 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.
Wacker, Anna, Elke Duchardt‐Ferner, Christian Richter, et al.. (2024). The 5′-terminal stem–loop RNA element of SARS-CoV-2 features highly dynamic structural elements that are sensitive to differences in cellular pH. Nucleic Acids Research. 52(13). 7971–7986. 7 indexed citations
2.
Bottaro, Sandro, Robbin Schnieders, Hendrik R. A. Jonker, et al.. (2023). Integrated NMR/Molecular Dynamics Determination of the Ensemble Conformation of a Thermodynamically Stable CUUG RNA Tetraloop. Journal of the American Chemical Society. 145(30). 16557–16572. 16 indexed citations
3.
Cagiada, Matteo, Sandro Bottaro, Søren Lindemose, et al.. (2023). Discovering functionally important sites in proteins. Nature Communications. 14(1). 4175–4175. 42 indexed citations
4.
Bergonzo, Christina, Alexander Grishaev, & Sandro Bottaro. (2022). Conformational heterogeneity of UCAAUC RNA oligonucleotide from molecular dynamics simulations, SAXS, and NMR experiments. RNA. 28(7). 937–946. 16 indexed citations
5.
Bottaro, Sandro, Giovanni Bussi, & Kresten Lindorff‐Larsen. (2021). Conformational Ensembles of Noncoding Elements in the SARS-CoV-2 Genome from Molecular Dynamics Simulations. Journal of the American Chemical Society. 143(22). 8333–8343. 17 indexed citations
6.
Midtgaard, Søren Roi, Nicolai Tidemand Johansen, Giulio Tesei, et al.. (2020). Structure and dynamics of a nanodisc by integrating NMR, SAXS and SANS experiments with molecular dynamics simulations. eLife. 9. 48 indexed citations
7.
Bottaro, Sandro. (2020). Integrating NMR and Simulations Reveals Motions in the UUCG Tetraloop. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
8.
Bottaro, Sandro, Parker J. Nichols, Beat Vögeli, Michele Parrinello, & Kresten Lindorff‐Larsen. (2020). Integrating NMR and simulations reveals motions in the UUCG tetraloop. Nucleic Acids Research. 48(11). 5839–5848. 22 indexed citations
9.
Bottaro, Sandro, et al.. (2018). Barnaba: software for analysis of nucleic acid structures and trajectories. RNA. 25(2). 219–231. 61 indexed citations
10.
Bottaro, Sandro & Kresten Lindorff‐Larsen. (2018). Biophysical experiments and biomolecular simulations: A perfect match?. Science. 361(6400). 355–360. 202 indexed citations
11.
Bottaro, Sandro, Giovanni Bussi, Scott D. Kennedy, Douglas H. Turner, & Kresten Lindorff‐Larsen. (2018). Conformational ensembles of RNA oligonucleotides from integrating NMR and molecular simulations. Science Advances. 4(5). eaar8521–eaar8521. 92 indexed citations
12.
Poblete, Simón, Sandro Bottaro, & Giovanni Bussi. (2017). Effects and limitations of a nucleobase-driven backmapping procedure for nucleic acids using steered molecular dynamics. Biochemical and Biophysical Research Communications. 498(2). 352–358. 9 indexed citations
13.
Bottaro, Sandro & Kresten Lindorff‐Larsen. (2017). Mapping the Universe of RNA Tetraloop Folds. Biophysical Journal. 113(2). 257–267. 33 indexed citations
14.
Gil-Ley, Alejandro, Sandro Bottaro, & Giovanni Bussi. (2016). RNA Conformational Ensembles: Narrowing the GAP between Experiments and Simulations with Metadynamics. Biophysical Journal. 110(3). 522a–523a.
15.
Kührová, Petra, Robert B. Best, Sandro Bottaro, et al.. (2016). Computer Folding of RNA Tetraloops: Identification of Key Force Field Deficiencies. Journal of Chemical Theory and Computation. 12(9). 4534–4548. 101 indexed citations
16.
Bottaro, Sandro, Alejandro Gil-Ley, & Giovanni Bussi. (2016). RNA folding pathways in stop motion. Nucleic Acids Research. 44(12). 5883–5891. 32 indexed citations
17.
Pinamonti, Giovanni, Sandro Bottaro, Cristian Micheletti, & Giovanni Bussi. (2015). Elastic network models for RNA: a comparative assessment with molecular dynamics and SHAPE experiments. Nucleic Acids Research. 43(15). 7260–7269. 42 indexed citations
18.
Borg, Mikael, Sandro Bottaro, Wouter Boomsma, et al.. (2012). An Efficient Null Model for Conformational Fluctuations in Proteins. Structure. 20(6). 1028–1039. 7 indexed citations
19.
Olsson, Simon, Wouter Boomsma, Jes Frellsen, et al.. (2011). Generative probabilistic models extend the scope of inferential structure determination. Journal of Magnetic Resonance. 213(1). 182–186. 14 indexed citations
20.
Hamelryck, Thomas, Mikael Borg, Jonas Paulsen, et al.. (2010). Potentials of Mean Force for Protein Structure Prediction Vindicated, Formalized and Generalized. PLoS ONE. 5(11). e13714–e13714. 52 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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