Michele Fratello

1.4k total citations · 1 hit paper
35 papers, 719 citations indexed

About

Michele Fratello is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cognitive Neuroscience. According to data from OpenAlex, Michele Fratello has authored 35 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 6 papers in Cognitive Neuroscience. Recurrent topics in Michele Fratello's work include Bioinformatics and Genomic Networks (13 papers), Gene expression and cancer classification (12 papers) and Computational Drug Discovery Methods (9 papers). Michele Fratello is often cited by papers focused on Bioinformatics and Genomic Networks (13 papers), Gene expression and cancer classification (12 papers) and Computational Drug Discovery Methods (9 papers). Michele Fratello collaborates with scholars based in Finland, Italy and Greece. Michele Fratello's co-authors include Angela Serra, Dario Greco, Georgia Melagraki, Antreas Afantitis, Varnavas D. Mouchlis, Iseult Lynch, Vassilis Aidinis, Anastasios G. Papadiamantis, Roberto Tagliaferri and Fabrizio Esposito and has published in prestigious journals such as Bioinformatics, International Journal of Molecular Sciences and BMC Bioinformatics.

In The Last Decade

Michele Fratello

32 papers receiving 703 citations

Hit Papers

Advances in De Novo Drug Design: From Conventional to Mac... 2021 2026 2022 2024 2021 50 100 150 200
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. Advances in De Novo Drug Design: From Conventional to Machine Learning Methods
    2021 207 citations Antreas Afantitis, Angela Serra et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michele Fratello Finland 15 328 257 95 76 46 35 719
Frank W. Pun Hong Kong 17 427 1.3× 143 0.6× 26 0.3× 20 0.3× 37 0.8× 38 817
J.B. Brown Japan 17 384 1.2× 219 0.9× 92 1.0× 26 0.3× 39 0.8× 32 893
Xiao Gan United States 6 293 0.9× 193 0.8× 174 1.8× 21 0.3× 13 0.3× 9 720
Xuwen Wang China 16 409 1.2× 130 0.5× 95 1.0× 17 0.2× 13 0.3× 72 863
Yejin Kim United States 10 127 0.4× 106 0.4× 44 0.5× 14 0.2× 36 0.8× 31 373
Emile F. Nuwaysir United States 13 777 2.4× 105 0.4× 20 0.2× 27 0.4× 83 1.8× 14 1.2k
Boer Xie United States 14 320 1.0× 24 0.1× 38 0.4× 89 1.2× 29 0.6× 17 522
Jielin Xu United States 13 362 1.1× 126 0.5× 19 0.2× 68 0.9× 16 0.3× 27 684
Jun-Ichi Goto Japan 14 460 1.4× 89 0.3× 39 0.4× 18 0.2× 3 0.1× 39 866
Huailei Jiang United States 16 125 0.4× 84 0.3× 15 0.2× 20 0.3× 9 0.2× 32 684

Countries citing papers authored by Michele Fratello

Since Specialization
Citations

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

Fields of papers citing papers by Michele Fratello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Fratello

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Fratello. A scholar is included among the top collaborators of Michele Fratello 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 Michele Fratello. Michele Fratello 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.
Fratello, Michele, Giusy del Giudice, Laura Aliisa Saarimäki, et al.. (2025). Nanomaterial grouping: Unraveling the relationship of induced mechanisms and potency at a temporal scale. Nano Today. 61. 102639–102639. 1 indexed citations
2.
Serra, Angela, Michele Fratello, Laura Aliisa Saarimäki, et al.. (2025). BMDx2: A Tool for Integrating Toxicogenomics‐Based Dose‐Dependency Analysis and AOP‐Based Mechanistic Insights. Small Methods. 9(12). e01728–e01728.
3.
Giudice, Giusy del, Angela Serra, Laura Aliisa Saarimäki, et al.. (2024). A Network Toxicology Approach for Mechanistic Modelling of Nanomaterial Hazard and Adverse Outcomes. Advanced Science. 11(32). e2400389–e2400389. 22 indexed citations
4.
Möbus, Lena, et al.. (2024). A Multi‐Dimensional Approach to Map Disease Relationships Challenges Classical Disease Views. Advanced Science. 11(30). e2401754–e2401754. 4 indexed citations
5.
Saarimäki, Laura Aliisa, et al.. (2023). A curated gene and biological system annotation of adverse outcome pathways related to human health. Scientific Data. 10(1). 13 indexed citations
6.
Serra, Angela, Laura Aliisa Saarimäki, Giusy del Giudice, et al.. (2023). ESPERANTO: a GLP-field sEmi-SuPERvised toxicogenomics metadAta curatioN TOol. Bioinformatics. 39(6). 1 indexed citations
7.
Serra, Angela, Laura Aliisa Saarimäki, Giusy del Giudice, et al.. (2022). Nextcast: A software suite to analyse and model toxicogenomics data. Computational and Structural Biotechnology Journal. 20. 1413–1426. 5 indexed citations
8.
Federico, Antonio, Michele Fratello, Giovanni Scala, et al.. (2022). Integrated Network Pharmacology Approach for Drug Combination Discovery: A Multi-Cancer Case Study. Cancers. 14(8). 2043–2043. 15 indexed citations
9.
Serra, Angela, Michele Fratello, Antonio Federico, et al.. (2021). Computationally prioritized drugs inhibit SARS-CoV-2 infection and syncytia formation. Briefings in Bioinformatics. 23(1). 14 indexed citations
10.
Fratello, Michele, Luca Cattelani, Antonio Federico, et al.. (2021). Unsupervised Algorithms for Microarray Sample Stratification. Methods in molecular biology. 2401. 121–146. 2 indexed citations
11.
Serra, Angela, Michele Fratello, Luca Cattelani, et al.. (2020). Transcriptomics in Toxicogenomics, Part III: Data Modelling for Risk Assessment. Nanomaterials. 10(4). 708–708. 42 indexed citations
12.
Federico, Antonio, Angela Serra, My Kieu Ha, et al.. (2020). Transcriptomics in Toxicogenomics, Part II: Preprocessing and Differential Expression Analysis for High Quality Data. Nanomaterials. 10(5). 903–903. 31 indexed citations
13.
Canna, Antonietta, Anna Prinster, Michele Fratello, et al.. (2018). A low-cost open-architecture taste delivery system for gustatory fMRI and BCI experiments. Journal of Neuroscience Methods. 311. 1–12. 8 indexed citations
14.
Caiazzo, Giuseppina, Michele Fratello, Federica Di Nardo, et al.. (2018). Structural connectome with high angular resolution diffusion imaging MRI: assessing the impact of diffusion weighting and sampling on graph-theoretic measures. Neuroradiology. 60(5). 497–504. 8 indexed citations
15.
Trojsi, Francesca, Giuseppina Caiazzo, Federica Di Nardo, et al.. (2017). High angular resolution diffusion imaging abnormalities in the early stages of amyotrophic lateral sclerosis. Journal of the Neurological Sciences. 380. 215–222. 11 indexed citations
16.
Serra, Angela, et al.. (2017). Robust and sparse correlation matrix estimation for the analysis of high-dimensional genomics data. Bioinformatics. 34(4). 625–634. 23 indexed citations
17.
Trojsi, Francesca, Federica Di Nardo, Gabriella Santangelo, et al.. (2017). Resting state fMRI correlates of Theory of Mind impairment in amyotrophic lateral sclerosis. Cortex. 97. 1–16. 35 indexed citations
18.
Russo, Antonio, Fabrizio Esposito, Francesca Conte, et al.. (2016). Functional interictal changes of pain processing in migraine with ictal cutaneous allodynia. Cephalalgia. 37(4). 305–314. 42 indexed citations
19.
Serra, Angela, Michele Fratello, Dario Greco, & Roberto Tagliaferri. (2016). Data integration in genomics and systems biology. 1272–1279. 5 indexed citations
20.
Fratello, Michele, Angela Serra, Vittorio Fortino, et al.. (2015). A multi-view genomic data simulator. BMC Bioinformatics. 16(1). 151–151. 7 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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