Simona Cocco

4.1k total citations
92 papers, 2.4k citations indexed

About

Simona Cocco is a scholar working on Molecular Biology, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Simona Cocco has authored 92 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 18 papers in Cognitive Neuroscience and 13 papers in Artificial Intelligence. Recurrent topics in Simona Cocco's work include Protein Structure and Dynamics (22 papers), RNA and protein synthesis mechanisms (20 papers) and Neural dynamics and brain function (15 papers). Simona Cocco is often cited by papers focused on Protein Structure and Dynamics (22 papers), RNA and protein synthesis mechanisms (20 papers) and Neural dynamics and brain function (15 papers). Simona Cocco collaborates with scholars based in France, United States and Burundi. Simona Cocco's co-authors include Rémi Monasson, John F. Marko, Martin Weigt, Stanislas Leibler, Jérôme Tubiana, John P. Barton, Jean‐François Léger, D. Chatenay, Jie Yan and Lorenzo Posani and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Simona Cocco

86 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simona Cocco France 27 1.5k 429 307 265 260 92 2.4k
Rémi Monasson France 30 1.2k 0.9× 401 0.9× 499 1.6× 585 2.2× 262 1.0× 119 3.5k
Annick Lesne France 27 1.5k 1.0× 133 0.3× 155 0.5× 372 1.4× 112 0.4× 102 2.6k
Benjamin B. Machta United States 19 802 0.6× 289 0.7× 159 0.5× 287 1.1× 313 1.2× 38 1.8k
Anirvan M. Sengupta India 28 1.3k 0.9× 461 1.1× 60 0.2× 361 1.4× 181 0.7× 204 3.8k
Chris H. Wiggins United States 29 2.9k 2.0× 301 0.7× 67 0.2× 383 1.4× 602 2.3× 59 4.9k
Ilya Nemenman United States 26 2.9k 2.0× 139 0.3× 673 2.2× 587 2.2× 312 1.2× 81 4.6k
Aleksandra M. Walczak France 42 2.9k 2.0× 109 0.3× 336 1.1× 529 2.0× 279 1.1× 138 5.5k
José M. G. Vilar Spain 25 1.9k 1.3× 238 0.6× 109 0.4× 944 3.6× 306 1.2× 60 3.1k
Pablo A. Iglesias United States 45 3.2k 2.2× 272 0.6× 173 0.6× 264 1.0× 1.1k 4.3× 182 6.4k
Konstantin Agladze Russia 24 521 0.4× 298 0.7× 215 0.7× 597 2.3× 731 2.8× 88 2.5k

Countries citing papers authored by Simona Cocco

Since Specialization
Citations

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

Fields of papers citing papers by Simona Cocco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simona Cocco

This figure shows the co-authorship network connecting the top 25 collaborators of Simona Cocco. A scholar is included among the top collaborators of Simona Cocco 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 Simona Cocco. Simona Cocco 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.
Fernández-de-Cossio-Díaz, Jorge, Pierre Hardouin, Yann Ponty, et al.. (2025). Designing molecular RNA switches with Restricted Boltzmann machines. Nature Communications. 16(1). 11223–11223.
2.
Rehan, Ahmed, et al.. (2025). Design and experimental characterization of specificity-switching mutational paths of WW domains. bioRxiv (Cold Spring Harbor Laboratory).
3.
Cocco, Simona, Lorenzo Posani, & Rémi Monasson. (2024). Functional effects of mutations in proteins can be predicted and interpreted by guided selection of sequence covariation information. Proceedings of the National Academy of Sciences. 121(26). e2312335121–e2312335121. 4 indexed citations
4.
Fernández-de-Cossio-Díaz, Jorge, Simona Cocco, & Rémi Monasson. (2023). Disentangling Representations in Restricted Boltzmann Machines without Adversaries. Physical Review X. 13(2). 9 indexed citations
5.
Bravi, Barbara, Jorge Fernández-de-Cossio-Díaz, Aleksandra M. Walczak, et al.. (2023). A transfer-learning approach to predict antigen immunogenicity and T-cell receptor specificity. eLife. 12. 12 indexed citations
6.
Depardieu, Florence, et al.. (2023). Computational design of novel Cas9 PAM-interacting domains using evolution-based modelling and structural quality assessment. PLoS Computational Biology. 19(11). e1011621–e1011621. 9 indexed citations
7.
Ding, Fangyuan, Simona Cocco, Maria Mañosas, et al.. (2022). Displacement and dissociation of oligonucleotides during DNA hairpin closure under strain. Nucleic Acids Research. 50(21). 12082–12093. 9 indexed citations
8.
Cocco, Simona, et al.. (2022). Optimal regularizations for data generation with probabilistic graphical models. Journal of Statistical Mechanics Theory and Experiment. 2022(5). 53502–53502. 2 indexed citations
9.
Šulc, Petr, et al.. (2021). The Heterogeneous Landscape and Early Evolution of Pathogen-Associated CpG Dinucleotides in SARS-CoV-2. Molecular Biology and Evolution. 38(6). 2428–2445. 13 indexed citations
10.
Bikard, David, et al.. (2021). Improving sequence-based modeling of protein families using secondary-structure quality assessment. Bioinformatics. 37(22). 4083–4090. 5 indexed citations
11.
Russ, William P., Matteo Figliuzzi, Christian Stocker, et al.. (2020). An evolution-based model for designing chorismate mutase enzymes. Science. 369(6502). 440–445. 166 indexed citations
12.
Coucke, Alice, et al.. (2020). Inference of compressed Potts graphical models. Physical review. E. 101(1). 12309–12309. 14 indexed citations
13.
Barton, John P., et al.. (2016). ACE: adaptive cluster expansion for maximum entropy graphical model inference. Bioinformatics. 32(20). 3089–3097. 54 indexed citations
14.
Jacquin, Hugo, et al.. (2016). Benchmarking Inverse Statistical Approaches for Protein Structure and Design with Exactly Solvable Models. PLoS Computational Biology. 12(5). e1004889–e1004889. 39 indexed citations
15.
Lutz, Benjamin, et al.. (2015). Protein and RNA Structure Prediction by Integration of Co-Evolutionary Information into Molecular Simulation. Biophysical Journal. 108(2). 13a–14a. 1 indexed citations
16.
Cocco, Simona, John F. Marko, & Rémi Monasson. (2014). Stochastic Ratchet Mechanisms for Replacement of Proteins Bound to DNA. Physical Review Letters. 112(23). 238101–238101. 21 indexed citations
17.
théorique, École d'été de physique, D. Chatenay, Simona Cocco, et al.. (2005). Multiple aspects of DNA and RNA : from biophysics to bioinformatics : École d'été de physique des Houches, session LXXXII, 2-27 August 2004, Euro Summer School, NATO Advanced Study Institute, École thématique du CNRS. Elsevier eBooks. 1 indexed citations
18.
Cocco, Simona, Rémi Monasson, & John F. Marko. (2002). Unzipping dynamics of long DNAs. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 66(5). 51914–51914. 20 indexed citations
19.
Cocco, Simona & Rémi Monasson. (2001). Trajectories in Phase Diagrams, Growth Processes, and Computational Complexity: How Search Algorithms Solve the 3-Satisfiability Problem. Physical Review Letters. 86(8). 1654–1657. 42 indexed citations
20.
Barbi, Maria, Simona Cocco, Michel Peyrard, & Stefano Ruffo. (1999). A Twist Opening Model for DNA. Journal of Biological Physics. 24(2-4). 97–114. 68 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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