Remo Calabrese

2.2k total citations · 2 hit papers
8 papers, 1.6k citations indexed

About

Remo Calabrese is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Remo Calabrese has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Oncology. Recurrent topics in Remo Calabrese's work include Machine Learning in Bioinformatics (5 papers), RNA and protein synthesis mechanisms (4 papers) and Protein Structure and Dynamics (3 papers). Remo Calabrese is often cited by papers focused on Machine Learning in Bioinformatics (5 papers), RNA and protein synthesis mechanisms (4 papers) and Protein Structure and Dynamics (3 papers). Remo Calabrese collaborates with scholars based in Italy and United States. Remo Calabrese's co-authors include Rita Casadio, Emidio Capriotti, Piero Fariselli, Pier Luigi Martelli, Russ B. Altman and D.G. Mita and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and BMC Genomics.

In The Last Decade

Remo Calabrese

8 papers receiving 1.6k citations

Hit Papers

Predicting the insurgence of human genetic diseases assoc... 2006 2026 2012 2019 2006 2009 200 400 600
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.

  1. 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 →
  2. 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 Career Trend Papers Cites
Remo Calabrese Italy 5 1.2k 634 127 118 97 8 1.6k
Neng‐Yao Shih Taiwan 14 737 0.6× 228 0.4× 116 0.9× 131 1.1× 138 1.4× 23 1.4k
Fuxiao Xin United States 8 1.1k 0.9× 323 0.5× 91 0.7× 173 1.5× 83 0.9× 10 1.3k
Dietmar von der Ahe Germany 15 782 0.6× 446 0.7× 102 0.8× 214 1.8× 155 1.6× 19 1.3k
Stefan Kammerer Germany 24 1.5k 1.2× 322 0.5× 155 1.2× 171 1.4× 319 3.3× 38 2.0k
Michael N. Edmonson United States 17 922 0.8× 413 0.7× 32 0.3× 219 1.9× 140 1.4× 26 1.5k
Anna Malovannaya United States 22 1.4k 1.2× 369 0.6× 177 1.4× 187 1.6× 294 3.0× 55 1.9k
J. Patrick Murphy Canada 18 841 0.7× 287 0.5× 91 0.7× 324 2.7× 194 2.0× 40 1.2k
Evarist Planet Switzerland 20 1.5k 1.3× 256 0.4× 83 0.7× 149 1.3× 215 2.2× 33 2.0k
Reuben J. Pengelly United Kingdom 17 442 0.4× 381 0.6× 68 0.5× 90 0.8× 45 0.5× 46 939
Miguel Carballo Spain 27 1.1k 0.9× 207 0.3× 117 0.9× 79 0.7× 104 1.1× 73 1.7k

Countries citing papers authored by Remo Calabrese

Since Specialization
Citations

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

Fields of papers citing papers by Remo Calabrese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Remo Calabrese

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

All Works

8 of 8 papers shown
1.
Capriotti, Emidio, Remo Calabrese, Piero Fariselli, et al.. (2013). WS-SNPs&GO: a web server for predicting the deleterious effect of human protein variants using functional annotation. BMC Genomics. 14(Suppl 3). S6–S6. 252 indexed citations
2.
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 →
3.
Calabrese, Remo, Emidio Capriotti, Piero Fariselli, Pier Luigi Martelli, & Rita Casadio. (2009). Protein Folding, Misfolding and Diseases: The I-Mutant Suite. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 2 indexed citations
4.
Casadio, Rita, Remo Calabrese, Emidio Capriotti, Piero Fariselli, & Pier Luigi Martelli. (2008). Protein Folding, Misfolding and Diseases: The I-Mutant Suite. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 67–67. 1 indexed citations
5.
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
6.
Calabrese, Remo, et al.. (2007). A computational approach for detecting peptidases and their specific inhibitors at the genome level. BMC Bioinformatics. 8(S1). S3–S3. 5 indexed citations
7.
Capriotti, Emidio, Remo Calabrese, & Rita Casadio. (2006). Predicting the insurgence of human genetic diseases associated to single point protein mutations with support vector machines and evolutionary information. Bioinformatics. 22(22). 2729–2734. 690 indexed citations breakdown →
8.
Capriotti, Emidio, Piero Fariselli, Remo Calabrese, & Rita Casadio. (2005). Predicting protein stability changes from sequences using support vector machines. Bioinformatics. 21(suppl_2). ii54–ii58. 154 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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