Andrea Califano

54.2k total citations · 10 hit papers
235 papers, 18.7k citations indexed

About

Andrea Califano is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Andrea Califano has authored 235 papers receiving a total of 18.7k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Molecular Biology, 29 papers in Oncology and 29 papers in Cancer Research. Recurrent topics in Andrea Califano's work include Bioinformatics and Genomic Networks (50 papers), Gene Regulatory Network Analysis (34 papers) and Gene expression and cancer classification (27 papers). Andrea Califano is often cited by papers focused on Bioinformatics and Genomic Networks (50 papers), Gene Regulatory Network Analysis (34 papers) and Gene expression and cancer classification (27 papers). Andrea Califano collaborates with scholars based in United States, Italy and France. Andrea Califano's co-authors include Gustavo Stolovitzky, Katia Basso, Riccardo Dalla‐Favera, Adam A. Margolin, Ulf Klein, Mariano J. Alvarez, Wei Keat Lim, Ilya Nemenman, Riccardo Dalla Favera and Chris H. Wiggins and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Andrea Califano

220 papers receiving 18.4k citations

Hit Papers

ARACNE: An Algorithm for ... 2001 2026 2009 2017 2006 2005 2009 2009 2001 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Califano United States 64 12.5k 3.8k 3.0k 2.9k 2.4k 235 18.7k
Olivier Elemento United States 80 16.5k 1.3× 6.4k 1.7× 4.3k 1.4× 3.0k 1.0× 1.8k 0.7× 440 25.9k
Scott A. Armstrong United States 69 17.0k 1.4× 2.4k 0.6× 3.2k 1.1× 2.1k 0.7× 744 0.3× 234 22.8k
Avi Ma’ayan United States 63 16.8k 1.3× 3.6k 0.9× 3.0k 1.0× 5.2k 1.8× 831 0.4× 186 29.4k
Hiroyuki Shimada United States 74 8.6k 0.7× 5.3k 1.4× 3.9k 1.3× 1.3k 0.5× 1.1k 0.5× 379 20.8k
Sean Davis United States 47 12.2k 1.0× 3.9k 1.0× 2.4k 0.8× 2.3k 0.8× 932 0.4× 94 18.3k
Mauro Delorenzi Switzerland 66 9.2k 0.7× 5.9k 1.5× 8.0k 2.7× 2.2k 0.8× 3.0k 1.3× 193 19.0k
Yiling Lu United States 64 11.6k 0.9× 2.9k 0.8× 3.5k 1.2× 1.4k 0.5× 1.1k 0.5× 209 15.6k
Benjamin Haibe‐Kains Canada 65 9.5k 0.8× 5.9k 1.5× 5.6k 1.9× 1.3k 0.5× 945 0.4× 262 21.6k
Mignon L. Loh United States 57 10.1k 0.8× 1.4k 0.4× 3.1k 1.0× 1.8k 0.6× 1.4k 0.6× 317 19.7k
David E. Root United States 68 17.0k 1.4× 3.6k 0.9× 4.1k 1.4× 2.4k 0.8× 685 0.3× 223 24.9k

Countries citing papers authored by Andrea Califano

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Califano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Califano

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Califano. A scholar is included among the top collaborators of Andrea Califano 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 Califano. Andrea Califano 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.
Cameron, Daniel, Nadia Zaffaroni, Noemi Arrighetti, et al.. (2025). Epigenetic targeting of PGBD5-dependent DNA damage in SMARCB1-deficient sarcomas. Journal of Clinical Investigation. 135(20).
2.
Decker-Farrell, Amanda R., Lukas Vlahos, H. Carlo Maurer, et al.. (2023). Tumor Explants Elucidate a Cascade of Paracrine SHH, WNT, and VEGF Signals Driving Pancreatic Cancer Angiosuppression. Cancer Discovery. 14(2). 348–361. 11 indexed citations
3.
Griffin, Aaron T., Lukas Vlahos, Codruța Chiuzan, & Andrea Califano. (2023). NaRnEA: An Information Theoretic Framework for Gene Set Analysis. Entropy. 25(3). 542–542. 2 indexed citations
4.
Lee, Shing Yip, Amy Tiersten, Della Makower, et al.. (2021). Phase I/II trial of ruxolitinib in combination with trastuzumab in metastatic HER2 positive breast cancer. Breast Cancer Research and Treatment. 189(1). 177–185. 22 indexed citations
5.
Lassman, Andrew B., Patrick Y. Wen, Martin J. van den Bent, et al.. (2021). A Phase II Study of the Efficacy and Safety of Oral Selinexor in Recurrent Glioblastoma. Clinical Cancer Research. 28(3). 452–460. 40 indexed citations
6.
Fedele, Vita, Fangping Dai, Dieter Henrik Heiland, et al.. (2017). Epigenetic Regulation of ZBTB18 Promotes Glioblastoma Progression. Molecular Cancer Research. 15(8). 998–1011. 30 indexed citations
7.
Zou, Min, Roxanne Toivanen, Antonina Mitrofanova, et al.. (2017). Transdifferentiation as a Mechanism of Treatment Resistance in a Mouse Model of Castration-Resistant Prostate Cancer. Cancer Discovery. 7(7). 736–749. 240 indexed citations
8.
Davé, Utpal P., Irina V. Lebedeva, Yao Shen, et al.. (2017). PI3Kγ/δ and NOTCH1 Cross-Regulate Pathways That Define the T-cell Acute Lymphoblastic Leukemia Disease Signature. Molecular Cancer Therapeutics. 16(10). 2069–2082. 7 indexed citations
9.
Ambesi‐Impiombato, Alberto, Yue Qin, Daniel Herranz, et al.. (2017). Synergistic antileukemic therapies in NOTCH1-induced T-ALL. Clinical Cancer Research. 23(24). 65–66. 1 indexed citations
10.
He, Jing, et al.. (2017). Accelerated parallel algorithm for gene network reverse engineering. BMC Systems Biology. 11(S4). 83–83. 8 indexed citations
11.
Udyavar, Akshata R., David J. Wooten, Mukesh Bansal, et al.. (2016). Novel Hybrid Phenotype Revealed in Small Cell Lung Cancer by a Transcription Factor Network Model That Can Explain Tumor Heterogeneity. Cancer Research. 77(5). 1063–1074. 59 indexed citations
12.
Bisikirska, Brygida, Mukesh Bansal, Yao Shen, et al.. (2015). Elucidation and Pharmacological Targeting of Novel Molecular Drivers of Follicular Lymphoma Progression. Cancer Research. 76(3). 664–674. 37 indexed citations
13.
Sonabend, Adam M., Mukesh Bansal, Paolo Guarnieri, et al.. (2014). The Transcriptional Regulatory Network of Proneural Glioma Determines the Genetic Alterations Selected during Tumor Progression. Cancer Research. 74(5). 1440–1451. 41 indexed citations
14.
Wang, Zhu A., Antonina Mitrofanova, Sarah K. Bergren, et al.. (2013). Lineage analysis of basal epithelial cells reveals their unexpected plasticity and supports a cell-of-origin model for prostate cancer heterogeneity. Nature Cell Biology. 15(3). 274–283. 243 indexed citations
15.
Floc’h, Nicolas, Carolyn Waugh Kinkade, Takashi Kobayashi, et al.. (2012). Dual Targeting of the Akt/mTOR Signaling Pathway Inhibits Castration-Resistant Prostate Cancer in a Genetically Engineered Mouse Model. Cancer Research. 72(17). 4483–4493. 68 indexed citations
16.
Wang, Jingqiang, Takashi Kobayashi, Nicolas Floc’h, et al.. (2012). B-Raf Activation Cooperates with PTEN Loss to Drive c-Myc Expression in Advanced Prostate Cancer. Cancer Research. 72(18). 4765–4776. 78 indexed citations
17.
Piccaluga, Pier Paolo, Giulia De Falco, Manjunath Kustagi, et al.. (2011). Gene expression analysis uncovers similarity and differences among Burkitt lymphoma subtypes. Blood. 117(13). 3596–3608. 82 indexed citations
18.
Alvarez, Mariano J., et al.. (2009). A complementary role for ELF3 and TFL1 in the regulation of flowering time by ambient temperature. The Plant Journal. 58(4). 629–640. 67 indexed citations
19.
Piccaluga, Pier Paolo, Claudio Agostinelli, Andrea Califano, et al.. (2007). Gene Expression Analysis of Angioimmunoblastic Lymphoma Indicates Derivation from T Follicular Helper Cells and Vascular Endothelial Growth Factor Deregulation. Cancer Research. 67(22). 10703–10710. 182 indexed citations
20.
Stolovitzky, Gustavo & Andrea Califano. (2007). Reverse engineering biological networks : opportunities and challenges in computational methods for pathway inference. 25 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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