Davide Cirillo

2.6k total citations · 1 hit paper
35 papers, 1.5k citations indexed

About

Davide Cirillo is a scholar working on Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Davide Cirillo has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Davide Cirillo's work include RNA Research and Splicing (10 papers), Bioinformatics and Genomic Networks (6 papers) and RNA and protein synthesis mechanisms (4 papers). Davide Cirillo is often cited by papers focused on RNA Research and Splicing (10 papers), Bioinformatics and Genomic Networks (6 papers) and RNA and protein synthesis mechanisms (4 papers). Davide Cirillo collaborates with scholars based in Spain, Italy and United States. Davide Cirillo's co-authors include Gian Gaetano Tartaglia, Alfonso Valencia, Federico Agostini, Doménica Marchese, Benedetta Bolognesi, Petr Klus, Andreas Zanzoni, Antonella Santuccione Chadha, Ben Lehner and Nieves Lorenzo-Gotor and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Davide Cirillo

33 papers receiving 1.4k citations

Hit Papers

Sex and gender differences and biases in artificial intel... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Davide Cirillo Spain 18 826 211 159 139 124 35 1.5k
Tim Hulsen Netherlands 12 954 1.2× 140 0.7× 119 0.7× 185 1.3× 113 0.9× 28 1.9k
Jiayi Shen China 15 288 0.3× 71 0.3× 110 0.7× 96 0.7× 93 0.8× 77 1.0k
Yuqi Guo United States 13 303 0.4× 147 0.7× 119 0.7× 74 0.5× 82 0.7× 57 1.5k
Mika Gustafsson Sweden 19 687 0.8× 72 0.3× 51 0.3× 76 0.5× 53 0.4× 64 1.4k
Vikas Pejaver United States 14 667 0.8× 49 0.2× 37 0.2× 70 0.5× 71 0.6× 28 1.3k
Daniele Ramazzotti Italy 17 813 1.0× 380 1.8× 29 0.2× 179 1.3× 60 0.5× 54 1.3k
Stylianos Serghiou United States 13 175 0.2× 138 0.7× 58 0.4× 101 0.7× 52 0.4× 23 1.0k
Karl E. Misulis United States 11 242 0.3× 51 0.2× 303 1.9× 184 1.3× 198 1.6× 29 1.2k
Amos Folarin United Kingdom 18 291 0.4× 47 0.2× 46 0.3× 160 1.2× 82 0.7× 57 1.2k
Jingxuan Shan Qatar 14 431 0.5× 243 1.2× 38 0.2× 37 0.3× 54 0.4× 33 961

Countries citing papers authored by Davide Cirillo

Since Specialization
Citations

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

Fields of papers citing papers by Davide Cirillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Cirillo

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Cirillo. A scholar is included among the top collaborators of Davide Cirillo 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 Davide Cirillo. Davide Cirillo 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.
Buslón, Nataly, et al.. (2025). Exploring Gender Bias in AI for Personalized Medicine: Focus Group Study With Trans Community Members. Journal of Medical Internet Research. 27. e72325–e72325. 1 indexed citations
2.
Rigau, Maria, Mattia Bosio, Emily O’Connor, et al.. (2024). Rare disease research workflow using multilayer networks elucidates the molecular determinants of severity in Congenital Myasthenic Syndromes. Nature Communications. 15(1). 1227–1227. 12 indexed citations
3.
Sánchez-Valle, Jon, Joselyn Rojas, Guillaume Noell, et al.. (2024). Lung Tissue Multilayer Network Analysis Uncovers the Molecular Heterogeneity of Chronic Obstructive Pulmonary Disease. American Journal of Respiratory and Critical Care Medicine. 210(10). 1219–1229. 10 indexed citations
5.
Ruiz‐Serra, Victoria, Nataly Buslón, M. P. Morales, et al.. (2024). Analyzing sex imbalance in EGA and dbGaP biological databases: Recommendations for better practices. iScience. 27(10). 110831–110831.
6.
Buslón, Nataly, et al.. (2023). Raising awareness of sex and gender bias in artificial intelligence and health. SHILAP Revista de lepidopterología. 4. 970312–970312. 11 indexed citations
7.
Harms, Robbert, Alberto Ferrari, Irene B. Meier, et al.. (2022). Digital biomarkers and sex impacts in Alzheimer’s disease management — potential utility for innovative 3P medicine approach. The EPMA Journal. 13(2). 299–313. 14 indexed citations
8.
Ponce-de-León, Miguel, José M. Fernández, Davide Cirillo, et al.. (2021). COVID-19 Flow-Maps an open geographic information system on COVID-19 and human mobility for Spain. Scientific Data. 8(1). 310–310. 17 indexed citations
9.
Zinovyev, Andreï, et al.. (2021). The multilayer community structure of medulloblastoma. iScience. 24(4). 102365–102365. 5 indexed citations
10.
Ferrari, Alberto, Enrico Santus, Davide Cirillo, et al.. (2021). Simulating SARS-CoV-2 epidemics by region-specific variables and modeling contact tracing app containment. npj Digital Medicine. 4(1). 9–9. 15 indexed citations
11.
Santus, Enrico, Davide Cirillo, Emmanuele Chersoni, et al.. (2021). Artificial Intelligence–Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development. Journal of Medical Internet Research. 23(3). e22453–e22453. 19 indexed citations
12.
Cirillo, Davide, Silvina Catuara‐Solarz, Emre Güney, et al.. (2020). Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare. npj Digital Medicine. 3(1). 81–81. 297 indexed citations breakdown →
13.
Cirillo, Davide & Alfonso Valencia. (2019). Big data analytics for personalized medicine. Current Opinion in Biotechnology. 58. 161–167. 153 indexed citations
14.
Bolognesi, Benedetta, Nieves Lorenzo-Gotor, Riddhiman Dhar, et al.. (2016). A Concentration-Dependent Liquid Phase Separation Can Cause Toxicity upon Increased Protein Expression. Cell Reports. 16(1). 222–231. 210 indexed citations
15.
Klus, Petr, et al.. (2015). Neurodegeneration and Cancer: Where the Disorder Prevails. Scientific Reports. 5(1). 15390–15390. 34 indexed citations
16.
Cirillo, Davide, Carmen Maria Livi, Federico Agostini, & Gian Gaetano Tartaglia. (2014). Discovery of protein–RNA networks. Molecular BioSystems. 10(7). 1632–1642. 15 indexed citations
17.
Agostini, Federico, Davide Cirillo, Riccardo Delli Ponti, & Gian Gaetano Tartaglia. (2014). SeAMotE: a method for high-throughput motif discovery in nucleic acid sequences. BMC Genomics. 15(1). 925–925. 19 indexed citations
18.
Agostini, Federico, Davide Cirillo, Carmen Maria Livi, Riccardo Delli Ponti, & Gian Gaetano Tartaglia. (2014). cc SOL omics : a webserver for solubility prediction of endogenous and heterologous expression in Escherichia coli. Bioinformatics. 30(20). 2975–2977. 79 indexed citations
19.
Cirillo, Davide, Federico Agostini, & Gian Gaetano Tartaglia. (2012). Predictions of protein–RNA interactions. Wiley Interdisciplinary Reviews Computational Molecular Science. 3(2). 161–175. 19 indexed citations
20.
Cirillo, Davide, Francesca Pentimalli, & Antonio Giordano. (2011). Peptides or Small Molecules? Different Approaches to Develop More Effective CDK Inhibitors. Current Medicinal Chemistry. 18(19). 2854–2866. 39 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026