Alessio Del Conte

842 total citations
7 papers, 289 citations indexed

About

Alessio Del Conte is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Alessio Del Conte has authored 7 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Materials Chemistry. Recurrent topics in Alessio Del Conte's work include Protein Structure and Dynamics (6 papers), Bioinformatics and Genomic Networks (4 papers) and Machine Learning in Bioinformatics (3 papers). Alessio Del Conte is often cited by papers focused on Protein Structure and Dynamics (6 papers), Bioinformatics and Genomic Networks (4 papers) and Machine Learning in Bioinformatics (3 papers). Alessio Del Conte collaborates with scholars based in Italy, Argentina and United Kingdom. Alessio Del Conte's co-authors include Damiano Piovesan, Silvio C. E. Tosatto, Alexander Miguel Monzón, Damiano Clementel, Giovanni Minervini, Maria Cristina Aspromonte, Javier Iserte, Cristina Marino‐Buslje, Carlo Ferrari and Matthias Blum and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Proteins Structure Function and Bioinformatics.

In The Last Decade

Alessio Del Conte

7 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessio Del Conte Italy 6 237 42 30 19 18 7 289
Damiano Clementel Italy 8 290 1.2× 37 0.9× 33 1.1× 32 1.7× 23 1.3× 12 374
Roger Olivella Spain 4 277 1.2× 25 0.6× 34 1.1× 19 1.0× 19 1.1× 5 350
Rohaine V. Hsu United States 6 295 1.2× 38 0.9× 44 1.5× 22 1.2× 13 0.7× 8 346
Shristi Pawnikar United States 6 204 0.9× 32 0.8× 59 2.0× 19 1.0× 14 0.8× 14 291
Luca Mureddu Italy 5 252 1.1× 58 1.4× 21 0.7× 17 0.9× 30 1.7× 10 354
J. Wollenhaupt Germany 10 258 1.1× 74 1.8× 31 1.0× 20 1.1× 8 0.4× 24 317
Aleix Lafita United Kingdom 10 313 1.3× 86 2.0× 21 0.7× 25 1.3× 15 0.8× 16 355
Anshul Sukhwal India 7 170 0.7× 36 0.9× 38 1.3× 13 0.7× 10 0.6× 7 214
Arumay Pal India 9 318 1.3× 101 2.4× 40 1.3× 28 1.5× 23 1.3× 24 368
Benjamin K. Mueller United States 8 361 1.5× 41 1.0× 23 0.8× 18 0.9× 39 2.2× 12 443

Countries citing papers authored by Alessio Del Conte

Since Specialization
Citations

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

Fields of papers citing papers by Alessio Del Conte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alessio Del Conte. 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 Alessio Del Conte. The network helps show where Alessio Del Conte may publish in the future.

Co-authorship network of co-authors of Alessio Del Conte

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

All Works

7 of 7 papers shown
1.
Piovesan, Damiano, Alessio Del Conte, Maria Cristina Aspromonte, et al.. (2024). MOBIDB in 2025: integrating ensemble properties and function annotations for intrinsically disordered proteins. Nucleic Acids Research. 53(D1). D495–D503. 13 indexed citations
2.
Song, Shaoxu, et al.. (2024). PredIDR: Accurate prediction of protein intrinsic disorder regions using deep convolutional neural network. International Journal of Biological Macromolecules. 284(Pt 1). 137665–137665. 1 indexed citations
3.
Conte, Alessio Del, Damiano Clementel, Giovanni Minervini, et al.. (2024). RING 4.0: faster residue interaction networks with novel interaction types across over 35,000 different chemical structures. Nucleic Acids Research. 52(W1). W306–W312. 34 indexed citations
4.
Conte, Alessio Del, Alexander Miguel Monzón, Damiano Clementel, et al.. (2023). RING-PyMOL: residue interaction networks of structural ensembles and molecular dynamics. Bioinformatics. 39(5). 13 indexed citations
5.
Conte, Alessio Del, et al.. (2023). Critical assessment of protein intrinsic disorder prediction (CAID) ‐ Results of round 2. Proteins Structure Function and Bioinformatics. 91(12). 1925–1934. 42 indexed citations
6.
Clementel, Damiano, Alessio Del Conte, Alexander Miguel Monzón, et al.. (2022). RING 3.0: fast generation of probabilistic residue interaction networks from structural ensembles. Nucleic Acids Research. 50(W1). W651–W656. 106 indexed citations
7.
Piovesan, Damiano, Alessio Del Conte, Damiano Clementel, et al.. (2022). MobiDB: 10 years of intrinsically disordered proteins. Nucleic Acids Research. 51(D1). D438–D444. 80 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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2026