Enzo Médico

14.5k total citations · 1 hit paper
120 papers, 6.1k citations indexed

About

Enzo Médico is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Enzo Médico has authored 120 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 39 papers in Oncology and 27 papers in Cancer Research. Recurrent topics in Enzo Médico's work include Liver physiology and pathology (18 papers), Colorectal Cancer Treatments and Studies (12 papers) and Cancer Cells and Metastasis (12 papers). Enzo Médico is often cited by papers focused on Liver physiology and pathology (18 papers), Colorectal Cancer Treatments and Studies (12 papers) and Cancer Cells and Metastasis (12 papers). Enzo Médico collaborates with scholars based in Italy, United States and Belarus. Enzo Médico's co-authors include Paolo M. Comoglio, LiMin Fu, Claudio Isella, Silvia Giordano, Carla Boccaccio, Consalvo Petti, Livio Trusolino, Andrea Bertotti, Francesco Galimi and Gigliola Reato and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Enzo Médico

120 papers receiving 6.0k citations

Hit Papers

Stromal contribution to the colorectal cancer transcriptome 2015 2026 2018 2022 2015 100 200 300 400

Peers

Enzo Médico
Yidong Chen United States
Derek Y. Chiang United States
Michael Reiß United States
ST Cheung Hong Kong
Steven A. Eschrich United States
Thomas Boehm Switzerland
Qianxing Mo United States
Yidong Chen United States
Enzo Médico
Citations per year, relative to Enzo Médico Enzo Médico (= 1×) peers Yidong Chen

Countries citing papers authored by Enzo Médico

Since Specialization
Citations

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

Fields of papers citing papers by Enzo Médico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enzo Médico

This figure shows the co-authorship network connecting the top 25 collaborators of Enzo Médico. A scholar is included among the top collaborators of Enzo Médico 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 Enzo Médico. Enzo Médico 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.
Petti, Consalvo, et al.. (2024). Repurposing anti-mesothelin CAR-NK immunotherapy against colorectal cancer. Journal of Translational Medicine. 22(1). 1100–1100. 4 indexed citations
2.
Grassi, Elena, Aikaterini Chatzipli, Emre Karakoç, et al.. (2024). Integrative ensemble modelling of cetuximab sensitivity in colorectal cancer patient-derived xenografts. Nature Communications. 15(1). 9139–9139. 5 indexed citations
3.
Mateos‐Gómez, Pedro A., Laura del Puerto‐Nevado, Óscar Aguilera, et al.. (2024). Inhibition of the AURKA/YAP1 axis is a promising therapeutic option for overcoming cetuximab resistance in colorectal cancer stem cells. British Journal of Cancer. 130(8). 1402–1413. 9 indexed citations
4.
Petti, Consalvo, Valeria Leuci, Simonetta M. Leto, et al.. (2024). Preclinical efficacy of a HER2 synNotch/CEA-CAR combinatorial immunotherapy against colorectal cancer with HER2 amplification. Molecular Therapy. 32(8). 2741–2761. 13 indexed citations
5.
Rovito, Roberta, et al.. (2020). Patient-derived xenografts (PDXs) as model systems for human cancer. Current Opinion in Biotechnology. 63. 151–156. 51 indexed citations
6.
Molineris, Ivan, et al.. (2020). Machine learning for RNA sequencing-based intrinsic subtyping of breast cancer. Scientific Reports. 10(1). 14071–14071. 37 indexed citations
7.
Corti, Giorgio, Alice Bartolini, Giovanni Crisafulli, et al.. (2019). A Genomic Analysis Workflow for Colorectal Cancer Precision Oncology. Clinical Colorectal Cancer. 18(2). 91–101.e3. 19 indexed citations
8.
Richman, Susan D., Simon Gollins, Peter Stewart, et al.. (2018). Prospective patient stratification into robust cancer‐cell intrinsic subtypes from colorectal cancer biopsies. The Journal of Pathology. 245(1). 19–28. 40 indexed citations
9.
Graudenzi, Alex, Davide Maspero, Marzia Di Filippo, et al.. (2018). Integration of transcriptomic data and metabolic networks in cancer samples reveals highly significant prognostic power. Journal of Biomedical Informatics. 87. 37–49. 19 indexed citations
10.
Luraghi, Paolo, Gigliola Reato, Francesca Orzan, et al.. (2017). A Molecularly Annotated Model of Patient-Derived Colon Cancer Stem–Like Cells to Assess Genetic and Nongenetic Mechanisms of Resistance to Anti-EGFR Therapy. Clinical Cancer Research. 24(4). 807–820. 18 indexed citations
11.
Sala, Valentina, Simona Gallo, Stefano Gatti, et al.. (2016). Cardiac concentric hypertrophy promoted by activated Met receptor is mitigated in vivo by inhibition of Erk1,2 signalling with Pimasertib. Journal of Molecular and Cellular Cardiology. 93. 84–97. 16 indexed citations
12.
Cantini, Laura, Enzo Médico, Santo Fortunato, & Michele Caselle. (2015). Detection of gene communities in multi-networks reveals cancer drivers. Scientific Reports. 5(1). 17386–17386. 82 indexed citations
13.
Isella, Claudio, Andrea Terrasi, Sara E. Bellomo, et al.. (2015). Stromal contribution to the colorectal cancer transcriptome. Nature Genetics. 47(4). 312–319. 444 indexed citations breakdown →
14.
Zecchin, Davide, Valentina Boscaro, Enzo Médico, et al.. (2013). BRAF V600E Is a Determinant of Sensitivity to Proteasome Inhibitors. Molecular Cancer Therapeutics. 12(12). 2950–2961. 16 indexed citations
15.
Bacco, Francesca De, Elena Casanova, Enzo Médico, et al.. (2012). The MET Oncogene Is a Functional Marker of a Glioblastoma Stem Cell Subtype. Cancer Research. 72(17). 4537–4550. 111 indexed citations
16.
Ferrero, Giovanni Battista, Gabriele Picco, Giuseppina Baldassarre, et al.. (2012). Transcriptional hallmarks of noonan syndrome and noonan‐like syndrome with loose anagen hair. Human Mutation. 33(4). 703–709. 10 indexed citations
17.
Fagoonee, Sharmila, Robin M. Hobbs, Letizia De Chiara, et al.. (2010). Generation of Functional Hepatocytes From Mouse Germ Line Cell-Derived Pluripotent Stem Cells In Vitro. Stem Cells and Development. 19(8). 1183–1194. 16 indexed citations
18.
Arena, Sabrina, Claudio Isella, Miriam Martini, et al.. (2007). Knock-in of Oncogenic Kras Does Not Transform Mouse Somatic Cells But Triggers a Transcriptional Response that Classifies Human Cancers. Cancer Research. 67(18). 8468–8476. 25 indexed citations
19.
Médico, Enzo, Janice L. Huff, Mary Anne Jelinek, et al.. (1996). The tyrosine kinase receptors Ron and Sea control "scattering" and morphogenesis of liver progenitor cells in vitro.. Molecular Biology of the Cell. 7(4). 495–504. 127 indexed citations
20.
Graziani, Andrea, Francesco Galimi, Enzo Médico, et al.. (1996). The HIV-1 Nef Protein Interferes with Phosphatidylinositol 3-Kinase Activation 1. Journal of Biological Chemistry. 271(12). 6590–6593. 51 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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