Emidio Capriotti

8.6k total citations · 3 hit papers
74 papers, 5.7k citations indexed

About

Emidio Capriotti is a scholar working on Molecular Biology, Genetics and Materials Chemistry. According to data from OpenAlex, Emidio Capriotti has authored 74 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 27 papers in Genetics and 14 papers in Materials Chemistry. Recurrent topics in Emidio Capriotti's work include RNA and protein synthesis mechanisms (31 papers), Genomics and Rare Diseases (25 papers) and Protein Structure and Dynamics (23 papers). Emidio Capriotti is often cited by papers focused on RNA and protein synthesis mechanisms (31 papers), Genomics and Rare Diseases (25 papers) and Protein Structure and Dynamics (23 papers). Emidio Capriotti collaborates with scholars based in Italy, United States and Spain. Emidio Capriotti's co-authors include Rita Casadio, Piero Fariselli, Remo Calabrese, Russ B. Altman, Pier Luigi Martelli, Marc A. Martı́-Renom, Yana Bromberg, Ivan Rossi, Ludovica Montanucci and Giovanni Birolo and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Journal of Molecular Biology.

In The Last Decade

Emidio Capriotti

70 papers receiving 5.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure

2005 1.5k citations Emidio Capriotti, Piero Fariselli et al. Nucleic Acids Research profile →
Predicting the insurgence of human genetic diseases associated to single point protein mutations with support vector machines and evolutionary information

2006 690 citations Emidio Capriotti, Remo Calabrese et al. Bioinformatics profile →
Functional annotations improve the predictive score of human disease-related mutations in proteins

2009 505 citations Remo Calabrese, Emidio Capriotti et al. Human Mutation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emidio Capriotti Italy	30	4.4k	1.6k	487	359	331	74	5.7k
Pedro Beltrão United Kingdom	36	4.4k 1.0×	880 0.5×	246 0.5×	185 0.5×	531 1.6×	78	5.3k
Jack Greenblatt Canada	30	5.6k 1.3×	946 0.6×	334 0.7×	188 0.5×	389 1.2×	67	6.4k
François Stricher Spain	25	4.0k 0.9×	746 0.5×	600 1.2×	120 0.3×	355 1.1×	32	4.9k
Douglas M. Fowler United States	33	3.6k 0.8×	1.6k 1.0×	160 0.3×	311 0.9×	210 0.6×	84	4.7k
Kengo Kinoshita Japan	35	3.8k 0.8×	500 0.3×	573 1.2×	262 0.7×	233 0.7×	157	4.9k
Andrew F. Neuwald United States	31	6.7k 1.5×	1.3k 0.8×	603 1.2×	249 0.7×	990 3.0×	79	7.7k
Anna R. Panchenko United States	43	4.6k 1.0×	558 0.3×	805 1.7×	337 0.9×	339 1.0×	115	5.3k
Vladimir Vacic United States	22	4.1k 0.9×	549 0.3×	803 1.6×	504 1.4×	440 1.3×	30	5.4k
Michael J. Sweredoski United States	42	5.1k 1.2×	586 0.4×	242 0.5×	689 1.9×	613 1.9×	89	6.4k
Rose Oughtred United States	18	4.8k 1.1×	500 0.3×	215 0.4×	350 1.0×	401 1.2×	24	5.6k

Countries citing papers authored by Emidio Capriotti

Since Specialization

Citations

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

Fields of papers citing papers by Emidio Capriotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emidio Capriotti

This figure shows the co-authorship network connecting the top 25 collaborators of Emidio Capriotti. A scholar is included among the top collaborators of Emidio Capriotti 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 Emidio Capriotti. Emidio Capriotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rossi, Ivan, et al.. (2025). Mass balance approximation of unfolding boosts potential‐based protein stability predictions. Protein Science. 34(5). e70134–e70134.

Trucchi, Emiliano, Silvia Fuselli, Simone Patergnani, et al.. (2025). BPS2025 - Respiratory complex I mutation alters mitochondrial bioenergetics in Apennine brown bears. Biophysical Journal. 124(3). 358a–358a.

Silvente, Francisco Requena, et al.. (2025). Federated learning for the pathogenicity annotation of genetic variants in multi-site clinical settings. Bioinformatics. 41(10).

Clementel, Damiano, Konstantinos Kyritsis, Emidio Capriotti, et al.. (2024). DOME Registry: implementing community-wide recommendations for reporting supervised machine learning in biology. GigaScience. 13. 1 indexed citations

Capriotti, Emidio & Piero Fariselli. (2023). PhD-SNPg: updating a webserver and lightweight tool for scoring nucleotide variants. Nucleic Acids Research. 51(W1). W451–W458. 9 indexed citations

Rocha, Jairo, et al.. (2023). Identification of Driver Epistatic Gene Pairs Combining Germline and Somatic Mutations in Cancer. International Journal of Molecular Sciences. 24(11). 9323–9323. 1 indexed citations

Petrosino, Maria, Alessandra Pasquo, Paola Turina, et al.. (2023). The complex impact of cancer-related missense mutations on the stability and on the biophysical and biochemical properties of MAPK1 and MAPK3 somatic variants. Human Genomics. 17(1). 95–95. 2 indexed citations

Petrosino, Maria, Alessandra Pasquo, Roberta Chiaraluce, et al.. (2021). Analysis and Interpretation of the Impact of Missense Variants in Cancer. International Journal of Molecular Sciences. 22(11). 5416–5416. 44 indexed citations

Capriotti, Emidio & Piero Fariselli. (2017). PhD-SNPg: a webserver and lightweight tool for scoring single nucleotide variants. Nucleic Acids Research. 45(W1). W247–W252. 156 indexed citations

10.

Tommaso, Paolo Di, Giovanni Bussotti, Carsten Kemena, et al.. (2014). SARA-Coffee web server, a tool for the computation of RNA sequence and structure multiple alignments. Nucleic Acids Research. 42(W1). W356–W360. 4 indexed citations

11.

Capriotti, Emidio, Russ B. Altman, & Yana Bromberg. (2013). Collective judgment predicts disease-associated single nucleotide variants. BMC Genomics. 14(Suppl 3). S2–S2. 220 indexed citations

12.

Capriotti, Emidio, et al.. (2012). Bioinformatics and variability in drug response: a protein structural perspective. Journal of The Royal Society Interface. 9(72). 1409–1437. 66 indexed citations

13.

Capriotti, Emidio, et al.. (2012). Bioinformatics for personal genome interpretation. Briefings in Bioinformatics. 13(4). 495–512. 54 indexed citations

14.

Capriotti, Emidio & Russ B. Altman. (2011). A new disease-specific machine learning approach for the prediction of cancer-causing missense variants. Genomics. 98(4). 310–317. 65 indexed citations

15.

Liu, Tianyun, et al.. (2011). Comparative Modeling: The State of the Art and Protein Drug Target Structure Prediction. Combinatorial Chemistry & High Throughput Screening. 14(6). 532–547. 32 indexed citations

16.

Capriotti, Emidio & Marc A. Martı́-Renom. (2010). Quantifying the relationship between sequence and three-dimensional structure conservation in RNA. BMC Bioinformatics. 11(1). 322–322. 37 indexed citations

17.

Calabrese, Remo, Emidio Capriotti, Piero Fariselli, Pier Luigi Martelli, & Rita Casadio. (2009). Functional annotations improve the predictive score of human disease-related mutations in proteins. Human Mutation. 30(8). 1237–1244. 505 indexed citations breakdown →

18.

Calabrese, Remo, Emidio Capriotti, & Rita Casadio. (2007). Predicting the Insurgence of Human Genetic Diseases Due to Single Point Protein Mutation using Machine Learning Approach.. 1. 1 indexed citations

19.

Capriotti, Emidio, Leonardo Arbiza, Rita Casadio, et al.. (2007). Use of estimated evolutionary strength at the codon level improves the prediction of disease-related protein mutations in humans. Human Mutation. 29(1). 198–204. 27 indexed citations

20.

Capriotti, Emidio, Piero Fariselli, & Rita Casadio. (2005). I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure. Nucleic Acids Research. 33(Web Server). W306–W310. 1465 indexed citations breakdown →

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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