Rocco Moretti

3.6k total citations · 2 hit papers
48 papers, 1.7k citations indexed

About

Rocco Moretti is a scholar working on Molecular Biology, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Rocco Moretti has authored 48 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 12 papers in Information Systems and 8 papers in Computational Theory and Mathematics. Recurrent topics in Rocco Moretti's work include Service-Oriented Architecture and Web Services (9 papers), Protein Structure and Dynamics (8 papers) and Computational Drug Discovery Methods (8 papers). Rocco Moretti is often cited by papers focused on Service-Oriented Architecture and Web Services (9 papers), Protein Structure and Dynamics (8 papers) and Computational Drug Discovery Methods (8 papers). Rocco Moretti collaborates with scholars based in United States, Germany and Italy. Rocco Moretti's co-authors include David Baker, Nihan Çelebi‐Ölçüm, K. N. Houk, Gert Kiss, Lucas G. Nivón, Jon S. Thorson, Jens Meiler, Aseem Z. Ansari, Iain H. Moal and Noah D. Taylor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Rocco Moretti

44 papers receiving 1.7k citations

Hit Papers

Computational Enzyme Design 2013 2026 2017 2021 2013 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rocco Moretti United States 20 1.4k 237 190 133 124 48 1.7k
Asim K. Bera United States 21 1.3k 1.0× 244 1.0× 125 0.7× 109 0.8× 105 0.8× 66 1.8k
Boris Aguilar United States 14 1.3k 1.0× 284 1.2× 177 0.9× 291 2.2× 97 0.8× 34 1.9k
Rodrigo V. Honorato Brazil 18 1.0k 0.8× 151 0.6× 106 0.6× 196 1.5× 103 0.8× 36 1.6k
M. Marsh Switzerland 17 1.0k 0.7× 258 1.1× 345 1.8× 129 1.0× 86 0.7× 26 1.5k
Lada Biedermannová Czechia 13 1.2k 0.9× 298 1.3× 243 1.3× 221 1.7× 82 0.7× 24 1.8k
Jamie L. Betker United States 9 1.9k 1.4× 553 2.3× 263 1.4× 97 0.7× 99 0.8× 17 2.2k
Velin Z. Spassov Bulgaria 14 1.0k 0.7× 275 1.2× 117 0.6× 118 0.9× 95 0.8× 19 1.3k
Christopher R. Otey United States 12 1.5k 1.1× 241 1.0× 125 0.7× 112 0.8× 350 2.8× 15 1.9k
David Sehnal Czechia 14 1.2k 0.9× 278 1.2× 117 0.6× 166 1.2× 116 0.9× 37 1.7k
Jason W. Labonte United States 15 1.4k 1.1× 271 1.1× 128 0.7× 138 1.0× 198 1.6× 24 1.8k

Countries citing papers authored by Rocco Moretti

Since Specialization
Citations

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

Fields of papers citing papers by Rocco Moretti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rocco Moretti

This figure shows the co-authorship network connecting the top 25 collaborators of Rocco Moretti. A scholar is included among the top collaborators of Rocco Moretti 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 Rocco Moretti. Rocco Moretti 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.
Tran, Minh H., et al.. (2025). RosettaHDX: Predicting antibody-antigen interaction from hydrogen-deuterium exchange mass spectrometry data. Journal of Structural Biology. 217(1). 108166–108166. 2 indexed citations
2.
Moretti, Rocco, et al.. (2025). Self-supervised machine learning methods for protein design improve sampling but not the identification of high-fitness variants. Science Advances. 11(7). eadr7338–eadr7338. 6 indexed citations
3.
Moretti, Rocco, et al.. (2025). Ultra-large library screening with an evolutionary algorithm in Rosetta (REvoLd). Communications Chemistry. 8(1). 335–335.
5.
Bloodworth, Nathaniel, Wei Chen, David M. Patrick, et al.. (2024). Posttranslationally modified self-peptides promote hypertension in mouse models. Journal of Clinical Investigation. 134(16).
6.
Mulligan, Vikram Khipple, Jack B. Maguire, Sergey Lyskov, et al.. (2024). Combining machine learning with structure-based protein design to predict and engineer post-translational modifications of proteins. PLoS Computational Biology. 20(3). e1011939–e1011939. 12 indexed citations
7.
Wang, Yu, et al.. (2023). Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14356–14364. 16 indexed citations
8.
Bloodworth, Nathaniel, Natália R. Barbaro, Rocco Moretti, David G. Harrison, & Jens Meiler. (2022). Rosetta FlexPepDock to predict peptide-MHC binding: An approach for non-canonical amino acids. PLoS ONE. 17(12). e0275759–e0275759. 10 indexed citations
9.
Moretti, Rocco, et al.. (2022). Integrative model of the FSH receptor reveals the structural role of the flexible hinge region. Structure. 30(10). 1424–1431.e3. 1 indexed citations
10.
Piotrowski, Christine, Rocco Moretti, Christian Ihling, et al.. (2020). Delineating the Molecular Basis of the Calmodulin–bMunc13-2 Interaction by Cross-Linking/Mass Spectrometry—Evidence for a Novel CaM Binding Motif in bMunc13-2. Cells. 9(1). 136–136. 9 indexed citations
11.
Schaarschmidt, Jörg, Holger Jaeschke, Rocco Moretti, et al.. (2016). Rearrangement of the Extracellular Domain/Extracellular Loop 1 Interface Is Critical for Thyrotropin Receptor Activation. Journal of Biological Chemistry. 291(27). 14095–14108. 16 indexed citations
12.
Moretti, Rocco, et al.. (2016). Rosetta and the Design of Ligand Binding Sites. Methods in molecular biology. 1414. 47–62. 24 indexed citations
13.
Taylor, Noah D., Alexander S. Garruss, Rocco Moretti, et al.. (2015). Engineering an allosteric transcription factor to respond to new ligands. Nature Methods. 13(2). 177–183. 253 indexed citations breakdown →
14.
Kiss, Gert, Nihan Çelebi‐Ölçüm, Rocco Moretti, David Baker, & K. N. Houk. (2013). Computational Enzyme Design. Angewandte Chemie International Edition. 52(22). 5700–5725. 401 indexed citations breakdown →
15.
Moretti, Rocco, Aram Chang, Pauline Peltier‐Pain, et al.. (2011). Expanding the Nucleotide and Sugar 1-Phosphate Promiscuity of Nucleotidyltransferase RmlA via Directed Evolution. Journal of Biological Chemistry. 286(15). 13235–13243. 38 indexed citations
16.
Moretti, Rocco & Jon S. Thorson. (2008). A comparison of sugar indicators enables a universal high-throughput sugar-1-phosphate nucleotidyltransferase assay. Analytical Biochemistry. 377(2). 251–258. 53 indexed citations
17.
Zhang, Changsheng, Rocco Moretti, Jiqing Jiang, & Jon S. Thorson. (2008). The in vitro Characterization of Polyene Glycosyltransferases AmphDI and NysDI. ChemBioChem. 9(15). 2506–2514. 26 indexed citations
18.
Moretti, Rocco & Aseem Z. Ansari. (2008). Expanding the specificity of DNA targeting by harnessing cooperative assembly. Biochimie. 90(7). 1015–1025. 24 indexed citations
19.
Ciancarini, Paolo, et al.. (2006). Towards a language for a satisfaction-based selection of Grid services. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna).
20.
Ciancarini, Paolo & Rocco Moretti. (2003). Towards a Framework for Web Sites Quality Evaluation.. Software Engineering and Knowledge Engineering. 721–725. 2 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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