Marco Mina

6.0k total citations
33 papers, 1.6k citations indexed

About

Marco Mina is a scholar working on Molecular Biology, Cancer Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marco Mina has authored 33 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marco Mina's work include Bioinformatics and Genomic Networks (11 papers), Cancer Genomics and Diagnostics (6 papers) and Biomedical Text Mining and Ontologies (4 papers). Marco Mina is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Cancer Genomics and Diagnostics (6 papers) and Biomedical Text Mining and Ontologies (4 papers). Marco Mina collaborates with scholars based in Switzerland, Italy and United States. Marco Mina's co-authors include Giovanni Ciriello, Pietro Hiram Guzzi, Mario Cannataro, Sadegh Saghafinia, Nicolò Riggi, Daniele Tavernari, Douglas Hanahan, Carlos A. Guerra, Franck Raynaud and Cesare Furlanello and has published in prestigious journals such as Cell, Nature Communications and Nature Genetics.

In The Last Decade

Marco Mina

32 papers receiving 1.5k citations

Peers

Marco Mina

ONCOL

IMMUN

PRM

Adam Coffman United States

Shiva Krupa United States

Chiara Pastrello Canada

Heonjong Han South Korea

Euan A. Stronach United Kingdom

Fabian Coscia Germany

Hyeon-Nae Jeon South Korea

Venkata Satagopam Luxembourg

Dabin Jeong South Korea

Adam Coffman United States

Marco Mina

937 ×0.9

320 ×0.8

184 ×0.6

ONCOL

205 ×1.2

IMMUN

283 ×1.6

PRM

Citations per year, relative to Marco Mina Marco Mina (= 1×) peers Adam Coffman

Countries citing papers authored by Marco Mina

Since Specialization

Citations

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

Fields of papers citing papers by Marco Mina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Mina

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Mina. A scholar is included among the top collaborators of Marco Mina 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 Mina. Marco Mina 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

Mina, Marco, et al.. (2025). Unmasking Lithium: The Thyroid Storm That Caught Us Off Guard. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A5726–A5726.

Karras, James G., María Marcuello, Claire T. Roberts, et al.. (2024). Preclinical Evaluation of HTX-001 as a Novel Anti-fibrotic Therapy for non-obstructive HCM. Journal of Cardiac Failure. 30. S9–S10. 1 indexed citations

König, Alexandra, Marco Mina, Sebastian Schäfer, Nicklas Linz, & Johannes Tröger. (2023). Predicting Depression Severity from Spontaneous Speech as Prompted by a Virtual Agent. European Psychiatry. 66(S1). S157–S158. 2 indexed citations

Tavernari, Daniele, Elena Battistello, Elie Dheilly, et al.. (2021). Nongenetic Evolution Drives Lung Adenocarcinoma Spatial Heterogeneity and Progression. Cancer Discovery. 11(6). 1490–1507. 75 indexed citations

Liu, Yuanlong, Luca Nanni, Stéphanie Sungalee, et al.. (2021). Systematic inference and comparison of multi-scale chromatin sub-compartments connects spatial organization to cell phenotypes. Nature Communications. 12(1). 2439–2439. 52 indexed citations

Zufferey, Marie, Yuanlong Liu, Daniele Tavernari, Marco Mina, & Giovanni Ciriello. (2021). Systematic assessment of gene co-regulation within chromatin domains determines differentially active domains across human cancers. Genome biology. 22(1). 218–218. 4 indexed citations

Mina, Marco, Arvind Iyer, Daniele Tavernari, Franck Raynaud, & Giovanni Ciriello. (2020). Discovering functional evolutionary dependencies in human cancers. Nature Genetics. 52(11). 1198–1207. 16 indexed citations

Raynaud, Franck, Marco Mina, & Giovanni Ciriello. (2019). Dynamic Emergence of Observed and Hidden Intra-tumor Heterogeneity. iScience. 21. 157–167. 2 indexed citations

Sanghvi, Viraj R., Josef Leibold, Marco Mina, et al.. (2019). The Oncogenic Action of NRF2 Depends on De-glycation by Fructosamine-3-Kinase. Cell. 178(4). 807–819.e21. 113 indexed citations

10.

Collier, Maria Donaldson, Stéphanie Sungalee, Marie Zufferey, et al.. (2019). EZH2 oncogenic mutations drive epigenetic, transcriptional, and structural changes within chromatin domains. Nature Genetics. 51(3). 517–528. 92 indexed citations

11.

Cheng, Wan-Chen, Simone Ragusa, Viktor H. Koelzer, et al.. (2019). Uncoupling protein 2 reprograms the tumor microenvironment to support the anti-tumor immune cycle. Nature Immunology. 20(2). 206–217. 59 indexed citations

12.

Saghafinia, Sadegh, Marco Mina, Nicolò Riggi, Douglas Hanahan, & Giovanni Ciriello. (2018). Pan-Cancer Landscape of Aberrant DNA Methylation across Human Tumors. Cell Reports. 25(4). 1066–1080.e8. 230 indexed citations

13.

Melaiu, Ombretta, Marco Mina, Marco Chierici, et al.. (2017). PD-L1 Is a Therapeutic Target of the Bromodomain Inhibitor JQ1 and, Combined with HLA Class I, a Promising Prognostic Biomarker in Neuroblastoma. Clinical Cancer Research. 23(15). 4462–4472. 93 indexed citations

14.

Alexanian, Michael, Marco Mina, Clayton E. Friedman, et al.. (2017). A transcribed enhancer dictates mesendoderm specification in pluripotency. Nature Communications. 8(1). 1806–1806. 47 indexed citations

15.

Mina, Marco, Giuseppe Jurman, Masayoshi Itoh, et al.. (2015). Promoter-level expression clustering identifies time development of transcriptional regulatory cascades initiated by ErbB receptors in breast cancer cells. Scientific Reports. 5(1). 11999–11999. 23 indexed citations

16.

Mina, Marco, Renata Boldrini, Arianna Citti, et al.. (2015). Tumor-infiltrating T lymphocytes improve clinical outcome of therapy-resistant neuroblastoma. OncoImmunology. 4(9). e1019981–e1019981. 111 indexed citations

17.

Ceccarelli, Sara, Nadia Panera, Marco Mina, et al.. (2015). LPS-induced TNF-α factor mediates pro-inflammatory and pro-fibrogenic pattern in non-alcoholic fatty liver disease. Oncotarget. 6(39). 41434–41452. 112 indexed citations

18.

Ciriello, Giovanni, Marco Mina, Pietro Hiram Guzzi, Mario Cannataro, & Concettina Guerra. (2012). AlignNemo: A Local Network Alignment Method to Integrate Homology and Topology. PLoS ONE. 7(6). e38107–e38107. 73 indexed citations

19.

Mina, Marco, Tiziana Sanavia, Barbara Di Camillo, Gianna Toffolo, & Concettina Guerra. (2011). Functional assessment of topological characterization using graphlet degrees in PPI networks. 2. 1 indexed citations

20.

Guzzi, Pietro Hiram, Marco Mina, Carlos A. Guerra, & Mario Cannataro. (2011). Semantic similarity analysis of protein data: assessment with biological features and issues. Briefings in Bioinformatics. 13(5). 569–585. 156 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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