Roberto Mosca

4.1k citations
23 papers · 1.7k · h-index 17

Impact in

    • Bioinformatics and Genomic Networks
    • Protein Structure and Dynamics
    • Microbial Metabolic Engineering and Bioproduction
    • RNA and protein synthesis mechanisms
    • Machine Learning in Bioinformatics
    • Computational Drug Discovery Methods

Papers in

    • Bioinformatics and Genomic Networks 12
    • Microbial Metabolic Engineering and Bioproduction 8
    • Protein Structure and Dynamics 7
    • Fungal and yeast genetics research 2
    • Genomics and Phylogenetic Studies 2

Roberto Mosca

23 papers receiving 1.6k citations

Peers

Roberto Mosca
Comparison fields: 5 of 113
  • Molecular Biology 1.4k
  • Computational Theory and Mathematics 319
  • Cell Biology 148
  • Genetics 158
  • Spectroscopy 78
Replace Karim M. ElSawy with:
Karim M. ElSawy United Kingdom
Arnaud Céol Italy
Dawei Lin United States
Xin‐Qiu Yao United States
Anatoly Sorokin Russia
Donald Petrey United States
Thomas Madej United States
Beáta Szabó Hungary
Carles Pons Spain
Giulia Morra Italy
Roberto Mosca relative to Karim M. ElSawy United Kingdom Karim M. ElSawy's profile →
Citations per field
00.5×1.6×
Karim M. ElSawy · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Roberto Mosca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roberto Mosca Line = papers co-authored together Roberto Mosca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012327
2 2010239
3 2013189
4 2014174
5 200893
6 200988
7 201181
8 201377
9 200961
10 201248
11 201546
12 201443
13 200841
14 201335
15 201629
16 201426
17 201921
18 201316
19 201414
20 20225

About Roberto Mosca

Roberto Mosca is a scholar working on Molecular Biology, Surgery, Computational Theory and Mathematics, Cardiology and Cardiovascular Medicine and Genetics, having authored 23 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (12 papers), Microbial Metabolic Engineering and Bioproduction (8 papers), Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (3 papers), Fungal and yeast genetics research (2 papers), Genomics and Phylogenetic Studies (2 papers), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Molecular Biology (1.4k citations), Computational Theory and Mathematics (319 citations), Cell Biology (148 citations), Genetics (158 citations) and Spectroscopy (78 citations). Roberto Mosca has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Patrick Aloy, Arnaud Céol, Amelie Stein, Judith Farrés, T. Schneider, Albert Pujol, Roger Olivella, Miquel Duran‐Frigola, Roland A. Pache and Carles Pons. Their work appears in journals such as Nucleic Acids Research, Interactive Cardiovascular and Thoracic Surgery, Structure, Molecular & Cellular Proteomics and Current Opinion in Structural Biology.

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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