Claudio Mirabello

1.3k total citations
23 papers, 526 citations indexed

About

Claudio Mirabello is a scholar working on Molecular Biology, Materials Chemistry and Genetics. According to data from OpenAlex, Claudio Mirabello has authored 23 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Materials Chemistry and 4 papers in Genetics. Recurrent topics in Claudio Mirabello's work include Protein Structure and Dynamics (15 papers), Enzyme Structure and Function (8 papers) and Machine Learning in Bioinformatics (5 papers). Claudio Mirabello is often cited by papers focused on Protein Structure and Dynamics (15 papers), Enzyme Structure and Function (8 papers) and Machine Learning in Bioinformatics (5 papers). Claudio Mirabello collaborates with scholars based in Sweden, Ireland and Russia. Claudio Mirabello's co-authors include Björn Wallner, Gianluca Pollastri, Isak Johansson-Åkhe, Pierangelo Veltri, Predrag Kukić, Giuseppe Tradigo, Ian Walsh, Marta Carroni, Guillaume Brysbaert and Christophe Blanchet and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Immunity.

In The Last Decade

Claudio Mirabello

22 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudio Mirabello Sweden 14 428 108 97 72 35 23 526
Thanh Nguyen Australia 12 290 0.7× 58 0.5× 48 0.5× 31 0.4× 27 0.8× 28 450
Sheng Qu China 4 422 1.0× 51 0.5× 35 0.4× 51 0.7× 30 0.9× 8 482
Carles Corbi‐Verge Canada 13 420 1.0× 62 0.6× 66 0.7× 17 0.2× 48 1.4× 21 530
Igor B. Kuznetsov United States 12 507 1.2× 58 0.5× 97 1.0× 53 0.7× 13 0.4× 24 643
Shane Ó Conchúir United States 5 419 1.0× 57 0.5× 65 0.7× 50 0.7× 109 3.1× 6 558
Satra Nim Canada 12 538 1.3× 108 1.0× 34 0.4× 44 0.6× 92 2.6× 18 711
Pentti Riikonen Finland 7 306 0.7× 32 0.3× 94 1.0× 55 0.8× 18 0.5× 12 415
Tomer Tsaban Israel 6 278 0.6× 37 0.3× 36 0.4× 42 0.6× 32 0.9× 7 357
J. Bradley Holmes United States 10 519 1.2× 32 0.3× 74 0.8× 22 0.3× 15 0.4× 13 589
Gabriele Orlando Belgium 13 466 1.1× 44 0.4× 79 0.8× 19 0.3× 25 0.7× 25 619

Countries citing papers authored by Claudio Mirabello

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Mirabello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Mirabello

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Mirabello. A scholar is included among the top collaborators of Claudio Mirabello 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 Claudio Mirabello. Claudio Mirabello 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.
Mirabello, Claudio, Tomáš Pánek, Prashant Chauhan, et al.. (2025). Mettl15-Mettl17 modulates the transition from early to late pre-mitoribosome. Structure. 33(11). 1904–1915.e3.
2.
Mirabello, Claudio, Thibaut Véry, Christophe Blanchet, et al.. (2024). MassiveFold: unveiling AlphaFold’s hidden potential with optimized and parallelized massive sampling. Nature Computational Science. 4(11). 824–828. 26 indexed citations
3.
Han, Xiao, Dmitry Lesovoy, Daniel Malmodin, et al.. (2024). Insights into mechanisms of MALT1 allostery from NMR and AlphaFold dynamic analyses. Communications Biology. 7(1). 868–868. 2 indexed citations
4.
Mirabello, Claudio & Björn Wallner. (2024). DockQ v2: improved automatic quality measure for protein multimers, nucleic acids, and small molecules. Bioinformatics. 40(10). 25 indexed citations
5.
Mirabello, Claudio, et al.. (2024). Unmasking AlphaFold to integrate experiments and predictions in multimeric complexes. Nature Communications. 15(1). 8724–8724. 19 indexed citations
6.
Oskolkov, Nikolay, Claudio Mirabello, Per Unneberg, et al.. (2024). Identification of microbial pathogens in Neolithic Scandinavian humans. Scientific Reports. 14(1). 5630–5630. 2 indexed citations
7.
Ramachandran, Mohanraj, Tanja Lövgren, Claudio Mirabello, et al.. (2023). Single-Cell RNA Analysis Reveals Cell-Intrinsic Functions of CAR T Cells Correlating with Response in a Phase II Study of Lymphoma Patients. Clinical Cancer Research. 29(20). 4139–4152. 8 indexed citations
8.
Vicente, Mário, Thijessen Naidoo, Tom van der Valk, et al.. (2023). aMeta: an accurate and memory-efficient ancient metagenomic profiling workflow. Genome biology. 24(1). 242–242. 21 indexed citations
9.
Malacrinò, Antonino, et al.. (2022). Ageing desexualizes the Drosophila brain transcriptome. Proceedings of the Royal Society B Biological Sciences. 289(1980). 20221115–20221115. 4 indexed citations
10.
Artemov, Artem V., Annika Reinhardt, Sebastian Ols, et al.. (2021). Limited access to antigen drives generation of early B cell memory while restraining the plasmablast response. Immunity. 54(9). 2005–2023.e10. 58 indexed citations
11.
Johansson-Åkhe, Isak, Claudio Mirabello, & Björn Wallner. (2021). InterPepRank: Assessment of Docked Peptide Conformations by a Deep Graph Network. SHILAP Revista de lepidopterología. 1. 763102–763102. 13 indexed citations
12.
Mirabello, Claudio & Björn Wallner. (2020). InterLig: improved ligand-based virtual screening using topologically independent structural alignments. Bioinformatics. 36(10). 3266–3267. 2 indexed citations
13.
Johansson-Åkhe, Isak, Claudio Mirabello, & Björn Wallner. (2020). InterPep2: global peptide–protein docking using interaction surface templates. Bioinformatics. 36(8). 2458–2465. 31 indexed citations
14.
Johansson-Åkhe, Isak, Claudio Mirabello, & Björn Wallner. (2019). Predicting protein-peptide interaction sites using distant protein complexes as structural templates. Scientific Reports. 9(1). 46 indexed citations
15.
Mirabello, Claudio & Björn Wallner. (2019). rawMSA: End-to-end Deep Learning using raw Multiple Sequence Alignments. PLoS ONE. 14(8). e0220182–e0220182. 62 indexed citations
16.
Mirabello, Claudio & Björn Wallner. (2018). Topology independent structural matching discovers novel templates for protein interfaces. Bioinformatics. 34(17). i787–i794. 11 indexed citations
17.
Elofsson, Arne, Keehyoung Joo, Chen Keasar, et al.. (2017). Methods for estimation of model accuracy in CASP12. Proteins Structure Function and Bioinformatics. 86(S1). 361–373. 27 indexed citations
18.
Mirabello, Claudio & Björn Wallner. (2017). InterPred: A pipeline to identify and model protein–protein interactions. Proteins Structure Function and Bioinformatics. 85(6). 1159–1170. 28 indexed citations
19.
Anandapadamanaban, Madhanagopal, Alexander Lemak, Claudio Mirabello, et al.. (2017). Solution NMR structure of the TRIM21 B-box2 and identification of residues involved in its interaction with the RING domain. PLoS ONE. 12(7). e0181551–e0181551. 13 indexed citations
20.
Martín, Alberto J. M., Claudio Mirabello, & Gianluca Pollastri. (2011). Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment and Ab Initio Protein Folding. Current Protein and Peptide Science. 12(6). 549–562. 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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