Andrea Bertotti

14.2k total citations · 2 hit papers
83 papers, 4.5k citations indexed

About

Andrea Bertotti is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Andrea Bertotti has authored 83 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Oncology, 39 papers in Molecular Biology and 25 papers in Cancer Research. Recurrent topics in Andrea Bertotti's work include Colorectal Cancer Treatments and Studies (28 papers), Cancer Genomics and Diagnostics (19 papers) and Liver physiology and pathology (12 papers). Andrea Bertotti is often cited by papers focused on Colorectal Cancer Treatments and Studies (28 papers), Cancer Genomics and Diagnostics (19 papers) and Liver physiology and pathology (12 papers). Andrea Bertotti collaborates with scholars based in Italy, United States and Belgium. Andrea Bertotti's co-authors include Livio Trusolino, Paolo M. Comoglio, Enzo Médico, Francesco Sassi, Francesco Galimi, Claudio Isella, Giorgia Migliardi, Consalvo Petti, Simonetta M. Leto and Andrea Muratore and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Andrea Bertotti

78 papers receiving 4.4k citations

Hit Papers

MET signalling: principles and functions in development, ... 2010 2026 2015 2020 2010 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Bertotti Italy 33 2.2k 2.1k 1.0k 895 805 83 4.5k
Paolo Michieli Italy 28 2.7k 1.2× 1.8k 0.9× 1.1k 1.0× 1.3k 1.4× 503 0.6× 41 4.6k
Oriol Casanovas Spain 32 3.8k 1.7× 2.3k 1.1× 2.1k 2.1× 329 0.4× 896 1.1× 70 6.2k
Adrian M. Jubb United Kingdom 32 2.5k 1.1× 1.6k 0.8× 1.0k 1.0× 301 0.3× 630 0.8× 50 4.0k
Tokuzo Arao Japan 38 2.2k 1.0× 1.4k 0.7× 771 0.8× 264 0.3× 1.1k 1.3× 90 3.7k
Patrick W.B. Derksen Netherlands 36 3.2k 1.4× 2.4k 1.1× 926 0.9× 223 0.2× 342 0.4× 70 4.9k
Kay Savage United Kingdom 42 2.8k 1.3× 2.6k 1.3× 2.1k 2.1× 242 0.3× 647 0.8× 66 5.7k
Raymond S. Yeung United States 45 3.2k 1.4× 1.7k 0.8× 844 0.8× 433 0.5× 872 1.1× 131 6.6k
Youngchul Song United States 13 3.0k 1.4× 3.0k 1.5× 908 0.9× 608 0.7× 2.7k 3.3× 18 5.5k
David S. Rickman United States 34 2.8k 1.3× 1.4k 0.7× 1.6k 1.6× 669 0.7× 1.6k 2.0× 63 5.6k
Hartmut Koeppen United States 51 4.9k 2.2× 5.0k 2.4× 1.7k 1.7× 667 0.7× 1.5k 1.9× 116 9.2k

Countries citing papers authored by Andrea Bertotti

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Bertotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Bertotti

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Bertotti. A scholar is included among the top collaborators of Andrea Bertotti 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 Andrea Bertotti. Andrea Bertotti 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.
Oliveira, Érica A., Javier Fernández-Mateos, George D. Cresswell, et al.. (2025). Epigenetic Heritability of Cell Plasticity Drives Cancer Drug Resistance through a One-to-Many Genotype-to-Phenotype Paradigm. Cancer Research. 85(15). 2921–2938. 1 indexed citations
2.
Grassi, Elena, et al.. (2025). Genotyping short tandem repeats across copy number alterations, aneuploidies, and polyploid organisms. Communications Biology. 8(1). 1437–1437.
3.
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
4.
Dell’Omo, Giulia, Elena Grassi, Simonetta M. Leto, et al.. (2023). Colorectal cancer patient-derived organoids and cell lines harboring ATRX and/or DAXX mutations lack Alternative Lengthening of Telomeres (ALT). Cell Death and Disease. 14(2). 96–96. 3 indexed citations
5.
Leto, Simonetta M., Francesco Sassi, Eugenia R. Zanella, et al.. (2023). Synthetic Lethal Interaction with BCL-XL Blockade Deepens Response to Cetuximab in Patient-Derived Models of Metastatic Colorectal Cancer. Clinical Cancer Research. 29(6). 1102–1113. 3 indexed citations
6.
Beekhof, Robin, Andrea Bertotti, Franziska Böttger, et al.. (2023). Phosphoproteomics of patient-derived xenografts identifies targets and markers associated with sensitivity and resistance to EGFR blockade in colorectal cancer. Science Translational Medicine. 15(709). eabm3687–eabm3687. 17 indexed citations
7.
Grassi, Elena, Francesco Sassi, Raffaele Calogero, et al.. (2023). CONNECTOR, fitting and clustering of longitudinal data to reveal a new risk stratification system. Bioinformatics. 39(5). 6 indexed citations
8.
Ponsioen, Bas, Ravian L. van Ineveld, Simone Kersten, et al.. (2021). Quantifying single-cell ERK dynamics in colorectal cancer organoids reveals EGFR as an amplifier of oncogenic MAPK pathway signalling. Nature Cell Biology. 23(4). 377–390. 94 indexed citations
9.
Giannese, Francesca, Dejan Lazarević, Silvia Monzani, et al.. (2021). Chromatin Velocity reveals epigenetic dynamics by single-cell profiling of heterochromatin and euchromatin. Nature Biotechnology. 40(2). 235–244. 74 indexed citations
10.
Merlino, G., Mario Bigioni, Patrizia Tunici, et al.. (2021). 489P MEN1611 in combination with cetuximab: Targeting PIK3CA mutations in RAS-wild-type patient-derived colorectal cancer xenografts. Annals of Oncology. 32. S573–S573. 2 indexed citations
11.
Beekhof, Robin, Alex A. Henneman, Jaco C. Knol, et al.. (2019). INKA , an integrative data analysis pipeline for phosphoproteomic inference of active kinases. Molecular Systems Biology. 15(4). e8250–e8250. 59 indexed citations
12.
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
13.
Leto, Simonetta M., Francesco Sassi, Valter Torri, et al.. (2015). Sustained Inhibition of HER3 and EGFR Is Necessary to Induce Regression of HER2 -Amplified Gastrointestinal Carcinomas. Clinical Cancer Research. 21(24). 5519–5531. 76 indexed citations
14.
Kavuri, Shyam M., Naveen Jain, Francesco Galimi, et al.. (2015). HER2 Activating Mutations Are Targets for Colorectal Cancer Treatment. Cancer Discovery. 5(8). 832–841. 218 indexed citations
15.
Pastò, Anna, Valentina Serafin, Giorgia Pilotto, et al.. (2014). NOTCH3 Signaling Regulates MUSASHI-1 Expression in Metastatic Colorectal Cancer Cells. Cancer Research. 74(7). 2106–2118. 49 indexed citations
16.
Luraghi, Paolo, Gigliola Reato, Francesco Sassi, et al.. (2014). MET Signaling in Colon Cancer Stem-like Cells Blunts the Therapeutic Response to EGFR Inhibitors. Cancer Research. 74(6). 1857–1869. 117 indexed citations
17.
Pennacchietti, Selma, Andrea Bertotti, William M. Rideout, et al.. (2014). Microenvironment-Derived HGF Overcomes Genetically Determined Sensitivity to Anti-MET Drugs. Cancer Research. 74(22). 6598–6609. 55 indexed citations
18.
Migliardi, Giorgia, Francesco Sassi, Davide Torti, et al.. (2012). Inhibition of MEK and PI3K/mTOR Suppresses Tumor Growth but Does Not Cause Tumor Regression in Patient-Derived Xenografts of RAS-Mutant Colorectal Carcinomas. Clinical Cancer Research. 18(9). 2515–2525. 147 indexed citations
19.
Casazza, Andrea, Veronica Finisguerra, Lorena Capparuccia, et al.. (2010). Sema3E–Plexin D1 signaling drives human cancer cell invasiveness and metastatic spreading in mice. Journal of Clinical Investigation. 120(8). 2684–2698. 142 indexed citations
20.
Bertotti, Andrea, Paolo M. Comoglio, & Livio Trusolino. (2005). β4 Integrin Is a Transforming Molecule that Unleashes Met Tyrosine Kinase Tumorigenesis. Cancer Research. 65(23). 10674–10679. 63 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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