Dario Greco

12.9k total citations · 2 hit papers
163 papers, 5.5k citations indexed

About

Dario Greco is a scholar working on Molecular Biology, Immunology and Computational Theory and Mathematics. According to data from OpenAlex, Dario Greco has authored 163 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Molecular Biology, 23 papers in Immunology and 20 papers in Computational Theory and Mathematics. Recurrent topics in Dario Greco's work include Bioinformatics and Genomic Networks (30 papers), Gene expression and cancer classification (27 papers) and Computational Drug Discovery Methods (20 papers). Dario Greco is often cited by papers focused on Bioinformatics and Genomic Networks (30 papers), Gene expression and cancer classification (27 papers) and Computational Drug Discovery Methods (20 papers). Dario Greco collaborates with scholars based in Finland, Sweden and Italy. Dario Greco's co-authors include Juha Kere, Petri Auvinen, Angela Serra, Vittorio Fortino, Lovisa E. Reinius, Cilla Söderhäll, Nathalie Acevedo, Annika Scheynius, Göran Pershagen and Pia Kinaret and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Dario Greco

156 papers receiving 5.5k citations

Hit Papers

align trajectories

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.

Differential DNA Methylation in Purified Human Blood Cells: Implications for Cell Lineage and Studies on Disease Susceptibility

2012 689 citations Nathalie Acevedo, Göran Pershagen et al. PLoS ONE profile →
Advances in De Novo Drug Design: From Conventional to Machine Learning Methods

2021 207 citations Antreas Afantitis, Angela Serra et al. International Journal of Molecular Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dario Greco Finland	39	2.8k	612	590	589	539	163	5.5k
Ssang‐Goo Cho South Korea	48	3.8k 1.4×	154 0.3×	533 0.9×	547 0.9×	431 0.8×	180	8.1k
Pascal Benkert Switzerland	27	3.5k 1.2×	389 0.6×	528 0.9×	600 1.0×	411 0.8×	89	7.6k
Rebecca Kirsch Denmark	14	5.6k 2.0×	609 1.0×	981 1.7×	592 1.0×	835 1.5×	21	9.7k
François M. Vallette France	51	5.7k 2.0×	514 0.8×	864 1.5×	921 1.6×	428 0.8×	178	9.2k
Peng Zhang China	39	3.0k 1.0×	786 1.3×	592 1.0×	484 0.8×	504 0.9×	209	5.6k
Maureen A. Sartor United States	49	5.1k 1.8×	350 0.6×	618 1.0×	877 1.5×	895 1.7×	169	8.6k
Vera Rogiers Belgium	52	4.8k 1.7×	245 0.4×	333 0.6×	1.1k 1.9×	442 0.8×	381	10.5k
Eunjung Lee South Korea	48	5.1k 1.8×	334 0.5×	441 0.7×	660 1.1×	1.1k 2.0×	240	9.6k
Mostafa Rezaei–Tavirani Iran	37	2.4k 0.8×	212 0.3×	360 0.6×	579 1.0×	336 0.6×	441	5.7k
Marc Baumann Finland	39	3.0k 1.1×	199 0.3×	514 0.9×	433 0.7×	425 0.8×	170	6.1k

Countries citing papers authored by Dario Greco

Since Specialization

Citations

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

Fields of papers citing papers by Dario Greco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dario Greco

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

All Works

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20 of 20 papers shown

Möbus, Lena, et al.. (2025). Two roads to fibrosis: Contrasting initiating mechanisms of Bleomycin and TGFβ-1 in lung fibroblasts. Toxicology. 517. 154233–154233. 1 indexed citations

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

Saarimäki, Laura Aliisa, Pernille Høgh Danielsen, Kristina Bram Knudsen, et al.. (2025). Comparison of Lung Inflammatory and Transcriptional Responses in Mice and Rats Following Pulmonary Exposure to a Fiber Paradigm-Compatible and Non-Compatible MWCNT. Nanomaterials. 15(17). 1364–1364.

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.

Giudice, Giusy del, et al.. (2024). Methylation and transcriptomic profiling reveals short term and long term regulatory responses in polarized macrophages. Computational and Structural Biotechnology Journal. 25. 143–152. 5 indexed citations

Ramessur, Ravi, Jake Saklatvala, Ashley Budu‐Aggrey, et al.. (2024). Exploring the Link Between Genetic Predictors of Cardiovascular Disease and Psoriasis. JAMA Cardiology. 9(11). 1009–1009. 10 indexed citations

Palviainen, Mari, Johannes A. Eble, Masood Kamali‐Moghaddam, et al.. (2024). Beyond basic characterization and omics: Immunomodulatory roles of platelet‐derived extracellular vesicles unveiled by functional testing. Journal of Extracellular Vesicles. 13(10). e12513–e12513. 6 indexed citations

Lindén, Jere, Laura Aliisa Saarimäki, Dario Greco, et al.. (2024). Polyphenol- and Glucuronoxylan-Rich Fiber Extract from Birch (Betula sp.) Wood Regulates Colonic Barrier Function and Cell Proliferation in Healthy Rats. Journal of Agricultural and Food Chemistry. 72(7). 3495–3505. 1 indexed citations

Valentino, Sarah, Carole Seidel, Sylvie Sébillaud, et al.. (2023). Identification of a Gene Signature Predicting (Nano)Particle-Induced Adverse Lung Outcome in Rats. International Journal of Molecular Sciences. 24(13). 10890–10890. 3 indexed citations

10.

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

11.

Neuvonen, Maarit, Erja Kerkelä, Kati Hyvärinen, et al.. (2023). OxLDL sensitizes platelets for increased formation of extracellular vesicles capable of finetuning macrophage gene expression. European Journal of Cell Biology. 102(2). 151311–151311. 10 indexed citations

12.

Clerbaux, Laure‐Alix, Maria Cristina Albertini, Núria Amigó, et al.. (2022). Factors Modulating COVID-19: A Mechanistic Understanding Based on the Adverse Outcome Pathway Framework. Journal of Clinical Medicine. 11(15). 4464–4464. 20 indexed citations

13.

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

14.

Acevedo, Nathalie, Giovanni Scala, Simon Kebede Merid, et al.. (2021). DNA Methylation Levels in Mononuclear Leukocytes from the Mother and Her Child Are Associated with IgE Sensitization to Allergens in Early Life. International Journal of Molecular Sciences. 22(2). 801–801. 18 indexed citations

15.

Chiaro, Jacopo, Thomas Whalley, Cristian Capasso, et al.. (2021). Viral Molecular Mimicry Influences the Antitumor Immune Response in Murine and Human Melanoma. Cancer Immunology Research. 9(8). 981–993. 25 indexed citations

16.

Scala, Giovanni, Sourav P. Mukherjee, Antonio Federico, et al.. (2021). Multi-walled carbon nanotubes elicit concordant changes in DNA methylation and gene expression following long-term pulmonary exposure in mice. Carbon. 178. 563–572. 13 indexed citations

17.

Fortino, Vittorio, Lukas Wisgrill, Sari Suomela, et al.. (2020). Machine-learning–driven biomarker discovery for the discrimination between allergic and irritant contact dermatitis. Proceedings of the National Academy of Sciences. 117(52). 33474–33485. 54 indexed citations

18.

Oghabian, Ali, Dario Greco, & Mikko J. Frilander. (2018). IntEREst: intron-exon retention estimator. BMC Bioinformatics. 19(1). 130–130. 20 indexed citations

19.

Fyhrquist, Nanna, Lasse Ruokolainen, Alina Suomalainen, et al.. (2014). Acinetobacter in the skin microbiota protects from atopic sensitisation. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 69. 4–5.

20.

Greco, Dario, Tuomas Heikkinen, Sippy Kaur, et al.. (2011). MiR-34a Expression Has an Effect for Lower Risk of Metastasis and Associates with Expression Patterns Predicting Clinical Outcome in Breast Cancer. PLoS ONE. 6(11). e26122–e26122. 67 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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