Roberto Mosca

4.1k total citations
23 papers, 1.7k citations indexed

About

Roberto Mosca is a scholar working on Molecular Biology, Surgery and Computational Theory and Mathematics. According to data from OpenAlex, Roberto Mosca has authored 23 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Computational Theory and Mathematics. Recurrent topics in Roberto Mosca's work include Bioinformatics and Genomic Networks (12 papers), Protein Structure and Dynamics (8 papers) and Microbial Metabolic Engineering and Bioproduction (8 papers). Roberto Mosca is often cited by papers focused on Bioinformatics and Genomic Networks (12 papers), Protein Structure and Dynamics (8 papers) and Microbial Metabolic Engineering and Bioproduction (8 papers). Roberto Mosca collaborates with scholars based in Spain, United States and Italy. Roberto Mosca's co-authors include Patrick Aloy, Arnaud Céol, Amelie Stein, Judith Farrés, Albert Pujol, T. Schneider, Roger Olivella, Miquel Duran‐Frigola, Carles Pons and Roland A. Pache and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and PLoS ONE.

In The Last Decade

Roberto Mosca

23 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Mosca Spain 17 1.4k 358 236 169 152 23 1.7k
Gabriele Ausiello Italy 18 1.5k 1.1× 325 0.9× 266 1.1× 105 0.6× 76 0.5× 45 1.7k
Xin‐Qiu Yao United States 18 1.2k 0.8× 230 0.6× 225 1.0× 140 0.8× 132 0.9× 47 1.6k
Amelie Stein Denmark 27 2.1k 1.4× 231 0.6× 366 1.6× 270 1.6× 223 1.5× 49 2.3k
Anatoly Sorokin Russia 17 1.5k 1.1× 194 0.5× 207 0.9× 156 0.9× 89 0.6× 93 1.9k
Beáta Szabó Hungary 15 1.2k 0.8× 166 0.5× 267 1.1× 83 0.5× 159 1.0× 25 1.5k
Arnaud Céol Italy 19 2.5k 1.7× 539 1.5× 149 0.6× 201 1.2× 134 0.9× 30 2.7k
Donald Petrey United States 22 2.5k 1.7× 577 1.6× 532 2.3× 150 0.9× 225 1.5× 35 2.8k
Karim M. ElSawy United Kingdom 11 1.2k 0.9× 236 0.7× 211 0.9× 119 0.7× 113 0.7× 26 1.7k
Carles Pons Spain 24 1.2k 0.8× 296 0.8× 243 1.0× 123 0.7× 77 0.5× 48 1.6k
Carlos H. M. Rodrigues Australia 18 1.5k 1.0× 289 0.8× 137 0.6× 294 1.7× 89 0.6× 39 2.1k

Countries citing papers authored by Roberto Mosca

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Mosca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Mosca

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Mosca. A scholar is included among the top collaborators of Roberto Mosca 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 Roberto Mosca. Roberto Mosca 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.
Torrico, Bàrbara, Alex D. Shaw, Roberto Mosca, et al.. (2019). Truncating variant burden in high-functioning autism and pleiotropic effects of LRP1 across psychiatric phenotypes. Journal of Psychiatry and Neuroscience. 44(5). 350–359. 21 indexed citations
2.
Mateo, Lídia, Oriol Guitart-Pla, Carles Pons, et al.. (2017). A PanorOmic view of personal cancer genomes. Nucleic Acids Research. 45(W1). W195–W200. 4 indexed citations
3.
Kumar, Ashwani, Natalia Beloglazova, Cedoljub Bundalovic-Torma, et al.. (2016). Conditional Epistatic Interaction Maps Reveal Global Functional Rewiring of Genome Integrity Pathways in Escherichia coli. Cell Reports. 14(3). 648–661. 29 indexed citations
4.
Mosca, Roberto, et al.. (2015). Reusing the patent internal mammary artery as a conduit in redo coronary artery bypass surgery: Table 1:. Interactive Cardiovascular and Thoracic Surgery. 22(3). 346–350. 2 indexed citations
5.
Duran‐Frigola, Miquel, et al.. (2015). Residues Coevolution Guides the Systematic Identification of Alternative Functional Conformations in Proteins. Structure. 24(1). 116–126. 45 indexed citations
6.
Häuser, Roman, Arnaud Céol, Seesandra V. Rajagopala, et al.. (2014). A Second-generation Protein–Protein Interaction Network of Helicobacter pylori. Molecular & Cellular Proteomics. 13(5). 1318–1329. 43 indexed citations
7.
Mosca, Roberto, et al.. (2014). Assessing the Applicability of Template-Based Protein Docking in the Twilight Zone. Structure. 22(9). 1356–1362. 26 indexed citations
8.
Rajagopala, Seesandra V., Patricia Sikorski, Ashwani Kumar, et al.. (2014). The binary protein-protein interaction landscape of Escherichia coli. Nature Biotechnology. 32(3). 285–290. 172 indexed citations
9.
Duran‐Frigola, Miquel, Roberto Mosca, & Patrick Aloy. (2013). Structural Systems Pharmacology: The Role of 3D Structures in Next-Generation Drug Development. Chemistry & Biology. 20(5). 674–684. 34 indexed citations
10.
Mosca, Roberto, Tirso Pons, Arnaud Céol, Alfonso Valencia, & Patrick Aloy. (2013). Towards a detailed atlas of protein–protein interactions. Current Opinion in Structural Biology. 23(6). 929–940. 77 indexed citations
11.
Mosca, Roberto, Arnaud Céol, Amelie Stein, Roger Olivella, & Patrick Aloy. (2013). 3did: a catalog of domain-based interactions of known three-dimensional structure. Nucleic Acids Research. 42(D1). D374–D379. 185 indexed citations
12.
Mosca, Roberto, Roland A. Pache, & Patrick Aloy. (2012). The Role of Structural Disorder in the Rewiring of Protein Interactions through Evolution. Molecular & Cellular Proteomics. 11(7). M111.014969–1. 48 indexed citations
13.
Mosca, Roberto, Arnaud Céol, & Patrick Aloy. (2012). Interactome3D: adding structural details to protein networks. Nature Methods. 10(1). 47–53. 326 indexed citations
14.
Stein, Amelie, Roberto Mosca, & Patrick Aloy. (2011). Three-dimensional modeling of protein interactions and complexes is going ‘omics. Current Opinion in Structural Biology. 21(2). 200–208. 81 indexed citations
15.
Pujol, Albert, Roberto Mosca, Judith Farrés, & Patrick Aloy. (2010). Unveiling the role of network and systems biology in drug discovery. Trends in Pharmacological Sciences. 31(3). 115–123. 238 indexed citations
16.
Mosca, Roberto, Carles Pons, Juan Fernández‐Recio, & Patrick Aloy. (2009). Pushing Structural Information into the Yeast Interactome by High-Throughput Protein Docking Experiments. PLoS Computational Biology. 5(8). e1000490–e1000490. 61 indexed citations
17.
Simonetta, Marco, Roberto Mosca, Marina Mapelli, et al.. (2009). The Influence of Catalysis on Mad2 Activation Dynamics. PLoS Biology. 7(1). e1000010–e1000010. 88 indexed citations
18.
Mosca, Roberto, Barbara Brannetti, & T. Schneider. (2008). Alignment of protein structures in the presence of domain motions. BMC Bioinformatics. 9(1). 352–352. 41 indexed citations
19.
Davies, Ryan R., et al.. (2008). Transplantation for the “failed” Fontan. Progress in Pediatric Cardiology. 26(1). 21–29. 3 indexed citations
20.
Mosca, Roberto & T. Schneider. (2008). RAPIDO: a web server for the alignment of protein structures in the presence of conformational changes. Nucleic Acids Research. 36(Web Server). W42–W46. 93 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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