Davide Corà

3.4k total citations
58 papers, 1.7k citations indexed

About

Davide Corà is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Davide Corà has authored 58 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 15 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Davide Corà's work include MicroRNA in disease regulation (12 papers), RNA Research and Splicing (12 papers) and Cancer-related molecular mechanisms research (8 papers). Davide Corà is often cited by papers focused on MicroRNA in disease regulation (12 papers), RNA Research and Splicing (12 papers) and Cancer-related molecular mechanisms research (8 papers). Davide Corà collaborates with scholars based in Italy, United States and United Kingdom. Davide Corà's co-authors include Michele Caselle, Matteo Osella, Carla Bosia, Angela Re, Federico Bussolino, Daniela Taverna, Michele De Bortoli, Olivier Friard, Mara Gagliardi and Claudio Santoro and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The EMBO Journal.

In The Last Decade

Davide Corà

57 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Davide Corà Italy 23 1.2k 619 195 150 130 58 1.7k
Marc Aubry France 22 866 0.7× 412 0.7× 187 1.0× 150 1.0× 91 0.7× 50 1.5k
D. Alwyn Dart United Kingdom 18 1.1k 0.9× 594 1.0× 258 1.3× 179 1.2× 43 0.3× 39 1.4k
Emily Clough United States 7 1.4k 1.1× 500 0.8× 208 1.1× 351 2.3× 178 1.4× 8 2.1k
Haizhong Feng China 26 1.3k 1.0× 477 0.8× 293 1.5× 116 0.8× 127 1.0× 57 1.8k
Ting Lei China 23 866 0.7× 247 0.4× 164 0.8× 89 0.6× 140 1.1× 63 1.3k
Fang Zhao China 18 762 0.6× 365 0.6× 217 1.1× 76 0.5× 112 0.9× 44 1.4k
Toma Tebaldi Italy 24 1.6k 1.3× 342 0.6× 229 1.2× 90 0.6× 86 0.7× 64 2.0k
Pai‐Sheng Chen Taiwan 16 1.4k 1.1× 783 1.3× 244 1.3× 119 0.8× 109 0.8× 37 1.8k
Qingrong Chen United States 25 1.3k 1.0× 450 0.7× 388 2.0× 216 1.4× 63 0.5× 61 2.0k
Yuval Tabach Israel 20 1.6k 1.3× 460 0.7× 479 2.5× 90 0.6× 61 0.5× 49 2.1k

Countries citing papers authored by Davide Corà

Since Specialization
Citations

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

Fields of papers citing papers by Davide Corà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Corà

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Corà. A scholar is included among the top collaborators of Davide Corà 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 Davide Corà. Davide Corà 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.
Racca, Luisa, G. Bonello, Veronica De Giorgis, et al.. (2025). Acute Myeloid Leukemia: A Key Role of DGKα and DGKζ in Cell Viability. Cells. 14(21). 1721–1721.
2.
Griffante, Gloria, Irene Lo Cigno, Valeria Caneparo, et al.. (2024). Human cytomegalovirus infection triggers a paracrine senescence loop in renal epithelial cells. Communications Biology. 7(1). 292–292. 5 indexed citations
3.
Akman, Muhlis, Chiara Riganti, Davide Corà, et al.. (2023). TFEB inhibition induces melanoma shut-down by blocking the cell cycle and rewiring metabolism. Cell Death and Disease. 14(5). 314–314. 10 indexed citations
4.
Leo, Giovanni Di, Francesco Favero, Stefania Faletti, et al.. (2023). Targeting lysine-specific demethylase 1 (KDM1A/LSD1) impairs colorectal cancer tumorigenesis by affecting cancer cells stemness, motility, and differentiation. Cell Death Discovery. 9(1). 201–201. 13 indexed citations
5.
Racca, Luisa, Silvia Polidoro, Sara Centonze, et al.. (2023). Role of Diacylglycerol Kinases in Acute Myeloid Leukemia. Biomedicines. 11(7). 1877–1877. 4 indexed citations
6.
Favero, Francesco, Eleonora Mazzucco, Miriam Zuccalà, et al.. (2022). Dissecting the Mechanism of Action of Spiperone—A Candidate for Drug Repurposing for Colorectal Cancer. Cancers. 14(3). 776–776. 6 indexed citations
7.
Favero, Francesco, Elettra Barberis, Mara Gagliardi, et al.. (2022). A Metabologenomic approach reveals alterations in the gut microbiota of a mouse model of Alzheimer’s disease. PLoS ONE. 17(8). e0273036–e0273036. 12 indexed citations
8.
Astanina, Elena, Gabriella Doronzo, Davide Corà, et al.. (2022). The TFEB-TGIF1 axis regulates EMT in mouse epicardial cells. Nature Communications. 13(1). 5191–5191. 12 indexed citations
9.
Riganti, Chiara, Davide Corà, Donatella Valdembri, et al.. (2022). TFEB controls integrin-mediated endothelial cell adhesion by the regulation of cholesterol metabolism. Angiogenesis. 25(4). 471–492. 15 indexed citations
10.
Bartolini, Alice, Simona Lamba, Daniele Oddo, et al.. (2016). BCAM and LAMA5 Mediate the Recognition between Tumor Cells and the Endothelium in the Metastatic Spreading of KRAS-Mutant Colorectal Cancer. Clinical Cancer Research. 22(19). 4923–4933. 51 indexed citations
11.
Brancato, Virginia, Valentina Comunanza, Giorgia Imparato, et al.. (2016). Bioengineered tumoral microtissues recapitulate desmoplastic reaction of pancreatic cancer. Acta Biomaterialia. 49. 152–166. 60 indexed citations
12.
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
13.
Olivero, Martina, et al.. (2012). IRF-1 expression is induced by cisplatin in ovarian cancer cells and limits drug effectiveness. European Journal of Cancer. 49(4). 964–973. 26 indexed citations
14.
Testori, Alessandro, Livia Caizzi, Santina Cutrupi, et al.. (2012). The role of Transposable Elements in shaping the combinatorial interaction of Transcription Factors. BMC Genomics. 13(1). 400–400. 27 indexed citations
15.
Isella, Claudio, et al.. (2011). Mulcom: a multiple comparison statistical test for microarray data in Bioconductor. BMC Bioinformatics. 12(1). 382–382. 5 indexed citations
16.
Grassi, Luigi, Diana Fusco, Davide Corà, et al.. (2010). Identity and divergence of protein domain architectures after the yeast whole-genome duplication event. Molecular BioSystems. 6(11). 2305–2315. 17 indexed citations
17.
Orso, Francesca, et al.. (2010). Identification of functional TFAP2A and SP1 binding sites in new TFAP2A-modulated genes. BMC Genomics. 11(1). 355–355. 26 indexed citations
18.
Corà, Davide, et al.. (2009). Genome wide survey of microRNA-Transcription Factor regulatory circuits in human. Molecular BioSystems. 854–867. 4 indexed citations
19.
Zanivan, Sara, Davide Corà, Michele Caselle, & Federico Bussolino. (2007). VRG: A database of vascular dysfunctions related genes. Computers & Mathematics with Applications. 55(5). 1068–1073. 1 indexed citations
20.
Corà, Davide, Ferdinando Di Cunto, Paolo Provero, Lorenzo Silengo, & Michele Caselle. (2004). Computational identification of transcription factor binding sites by functional analysis of sets of genes sharing overrep-resented upstream motifs. BMC Bioinformatics. 5(1). 57–57. 28 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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