Marco A. Deriu

3.1k total citations
112 papers, 2.0k citations indexed

About

Marco A. Deriu is a scholar working on Molecular Biology, Cell Biology and Biomedical Engineering. According to data from OpenAlex, Marco A. Deriu has authored 112 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 25 papers in Cell Biology and 21 papers in Biomedical Engineering. Recurrent topics in Marco A. Deriu's work include Protein Structure and Dynamics (17 papers), Microtubule and mitosis dynamics (17 papers) and RNA Interference and Gene Delivery (11 papers). Marco A. Deriu is often cited by papers focused on Protein Structure and Dynamics (17 papers), Microtubule and mitosis dynamics (17 papers) and RNA Interference and Gene Delivery (11 papers). Marco A. Deriu collaborates with scholars based in Italy, Switzerland and Canada. Marco A. Deriu's co-authors include Umberto Morbiducci, Gianvito Grasso, Andrea Danani, Diego Gallo, Diana Massai, Alberto Redaelli, Jack A. Tuszyński, Raffaele Ponzini, Franco Maria Montevecchi and Monica Soncini and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Marco A. Deriu

101 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco A. Deriu Italy 27 732 413 367 315 270 112 2.0k
Kae Nakamura Japan 38 1.4k 1.9× 352 0.9× 381 1.0× 203 0.6× 293 1.1× 102 4.6k
Mei Dong China 25 684 0.9× 563 1.4× 206 0.6× 244 0.8× 138 0.5× 58 2.2k
Guoqing Du China 28 897 1.2× 294 0.7× 317 0.9× 160 0.5× 88 0.3× 90 2.7k
Di Wang China 28 1.5k 2.1× 221 0.5× 319 0.9× 275 0.9× 93 0.3× 122 3.0k
Zijian Li China 29 1.2k 1.7× 386 0.9× 427 1.2× 491 1.6× 135 0.5× 117 3.9k
Yi Wu China 28 1.2k 1.6× 150 0.4× 283 0.8× 102 0.3× 199 0.7× 109 2.8k
Yoshihiro Tanaka Japan 24 648 0.9× 152 0.4× 277 0.8× 239 0.8× 116 0.4× 133 2.5k
Aiwu Zhou China 36 1.8k 2.4× 231 0.6× 102 0.3× 158 0.5× 373 1.4× 102 3.8k
Nan Lü China 28 1.3k 1.8× 162 0.4× 213 0.6× 86 0.3× 257 1.0× 114 2.9k
Kaori Yoshida Japan 31 1.6k 2.1× 195 0.5× 181 0.5× 240 0.8× 206 0.8× 92 3.0k

Countries citing papers authored by Marco A. Deriu

Since Specialization
Citations

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

Fields of papers citing papers by Marco A. Deriu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco A. Deriu. 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 Marco A. Deriu. The network helps show where Marco A. Deriu may publish in the future.

Co-authorship network of co-authors of Marco A. Deriu

This figure shows the co-authorship network connecting the top 25 collaborators of Marco A. Deriu. A scholar is included among the top collaborators of Marco A. Deriu 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 Marco A. Deriu. Marco A. Deriu 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.
Sperti, Michela, Francesco Bruno, Giuseppe De Nisco, et al.. (2025). Artificial Intelligence-based Approaches for Characterizing Plaque Components From Intravascular Optical Coherence Tomography Imaging: Integration Into Clinical Decision Support Systems. Reviews in Cardiovascular Medicine. 26(7). 39210–39210.
2.
Deriu, Marco A., et al.. (2025). LightCPPgen: An explainable machine learning pipeline for rational design of cell penetrating peptides. International Journal of Antimicrobial Agents. 66(6). 107611–107611. 2 indexed citations
3.
Deriu, Marco A., et al.. (2024). Machine learning approaches to predict TAS2R receptors for bitterants. Biotechnology and Bioengineering. 121(6). 1755–1758. 3 indexed citations
4.
Cerveri, Pietro, et al.. (2024). Agreement of Total Distance and Speed Metrics Across Multiple Football Tracking Devices. 269–273. 2 indexed citations
5.
Deriu, Marco A., et al.. (2024). Validation of Step Detection and Distance Calculation Algorithms for Soccer Performance Monitoring. Sensors. 24(11). 3343–3343. 1 indexed citations
6.
Cavaglià, Marco, Marco A. Deriu, & Jack A. Tuszyński. (2023). Toward a holographic brain paradigm: a lipid-centric model of brain functioning. Frontiers in Neuroscience. 17. 7 indexed citations
7.
Theofilatos, Konstantinos, et al.. (2023). MEvA-X: a hybrid multiobjective evolutionary tool using an XGBoost classifier for biomarkers discovery on biomedical datasets. Bioinformatics. 39(7). 7 indexed citations
8.
Benedetto, Giacomo Di, et al.. (2022). Informed classification of sweeteners/bitterants compounds via explainable machine learning. Current Research in Food Science. 5. 2270–2280. 23 indexed citations
9.
Deriu, Marco A., et al.. (2022). Toward the design and development of peptidomimetic inhibitors of the Ataxin-1 aggregation pathway. Biophysical Journal. 121(23). 4679–4688. 5 indexed citations
10.
Vassilev, Nikolay, Gilberto de Oliveira Mendes, Marco A. Deriu, et al.. (2022). Fungi, P-Solubilization, and Plant Nutrition. Microorganisms. 10(9). 1716–1716. 31 indexed citations
11.
Brigante, Giulia, Clara Lazzaretti, Frank Tüttelmann, et al.. (2022). Genetic signature of differentiated thyroid carcinoma susceptibility: a machine learning approach. European Thyroid Journal. 11(5). 4 indexed citations
12.
Uchida, Noriyuki, Kou Okuro, Annalisa Cardellini, et al.. (2022). Reconstitution of microtubule into GTP-responsive nanocapsules. Nature Communications. 13(1). 5424–5424. 9 indexed citations
13.
Malavolta, Marta, Gianvito Grasso, Seferina Mavroudi, et al.. (2021). On the human taste perception: Molecular-level understanding empowered by computational methods. Trends in Food Science & Technology. 116. 445–459. 38 indexed citations
14.
Grasso, Gianvito, et al.. (2021). Fragmented blind docking: a novel protein–ligand binding prediction protocol. Journal of Biomolecular Structure and Dynamics. 40(24). 13472–13481. 17 indexed citations
15.
Hálasz, Géza, Michela Sperti, Umberto Michelucci, et al.. (2021). A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score. Journal of Medical Internet Research. 23(5). e29058–e29058. 33 indexed citations
16.
Grasso, Gianvito, Marco A. Deriu, Yoan Arribat, et al.. (2021). Genetic, cellular, and structural characterization of the membrane potential-dependent cell-penetrating peptide translocation pore. eLife. 10. 40 indexed citations
17.
Grasso, Gianvito, et al.. (2019). Biofunctionalization of Silica Nanoparticles with Cell-Penetrating Peptides: Adsorption Mechanism and Binding Energy Estimation. The Journal of Physical Chemistry B. 123(50). 10622–10630. 17 indexed citations
18.
Deriu, Marco A., Nicolas Tsapis, Magali Noiray, et al.. (2018). Elucidating the role of surface chemistry on cationic phosphorus dendrimer–siRNA complexation. Nanoscale. 10(23). 10952–10962. 26 indexed citations
19.
Visentin, Cristina, Susanna Navarro, Gianvito Grasso, et al.. (2018). Protein Environment: A Crucial Triggering Factor in Josephin Domain Aggregation: The Role of 2,2,2-Trifluoroethanol. International Journal of Molecular Sciences. 19(8). 2151–2151. 3 indexed citations
20.
Soncini, Monica, et al.. (2006). Characterization of microtubules and motor proteins via molecular dynamics simulations. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 121–134. 1 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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