Federica Conte

2.3k total citations
48 papers, 1.3k citations indexed

About

Federica Conte is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Federica Conte has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 16 papers in Cancer Research and 9 papers in Computational Theory and Mathematics. Recurrent topics in Federica Conte's work include Bioinformatics and Genomic Networks (17 papers), MicroRNA in disease regulation (9 papers) and Computational Drug Discovery Methods (9 papers). Federica Conte is often cited by papers focused on Bioinformatics and Genomic Networks (17 papers), MicroRNA in disease regulation (9 papers) and Computational Drug Discovery Methods (9 papers). Federica Conte collaborates with scholars based in Italy, Russia and United States. Federica Conte's co-authors include Paola Paci, Giulia Fiscon, Valerio Licursi, Lorenzo Farina, Teresa Colombo, Matteo Chiara, Joseph Loscalzo, Rui‐Sheng Wang, Cinzia Volonté and Susanna Amadio and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Federica Conte

45 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federica Conte Italy 21 908 425 216 107 101 48 1.3k
Hyeon-Nae Jeon South Korea 6 921 1.0× 265 0.6× 141 0.7× 165 1.5× 211 2.1× 9 1.4k
Gürkan Bebek United States 22 1.1k 1.2× 256 0.6× 98 0.5× 180 1.7× 92 0.9× 52 1.7k
Hailong Zhu China 22 654 0.7× 154 0.4× 121 0.6× 176 1.6× 75 0.7× 62 1.2k
Andrew Garazha Russia 23 929 1.0× 375 0.9× 105 0.5× 276 2.6× 118 1.2× 58 1.7k
Fernando Gómez Spain 18 857 0.9× 234 0.6× 103 0.5× 174 1.6× 63 0.6× 56 1.5k
Nikolay Borisov Russia 18 947 1.0× 193 0.5× 184 0.9× 145 1.4× 61 0.6× 37 1.5k
Wenhui Wang China 16 703 0.8× 138 0.3× 323 1.5× 66 0.6× 53 0.5× 57 1.3k
Haiyan Jin China 22 519 0.6× 197 0.5× 63 0.3× 95 0.9× 127 1.3× 59 1.3k
Deepak K. Rajpal United States 22 1.2k 1.4× 223 0.5× 327 1.5× 53 0.5× 140 1.4× 44 2.0k

Countries citing papers authored by Federica Conte

Since Specialization
Citations

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

Fields of papers citing papers by Federica Conte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Conte

This figure shows the co-authorship network connecting the top 25 collaborators of Federica Conte. A scholar is included among the top collaborators of Federica Conte 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 Federica Conte. Federica Conte 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.
Smaele, Enrico De, et al.. (2025). Integrating multi-omics data: Methods and applications in human complex diseases. Biotechnology Reports. 48. e00938–e00938.
2.
Conte, Federica, Yichen Huang, Peter J. Castaldi, et al.. (2024). Correlation-based network integration of lung RNA sequencing and DNA methylation data in chronic obstructive pulmonary disease. Heliyon. 10(10). e31301–e31301. 1 indexed citations
3.
Montalbano, Marzia, Paola Piccolo, Raffaella Lionetti, et al.. (2023). Third dose of SARS‐CoV2 mRNA vaccination produces robust persistent cellular and humoral immune responses in liver transplant recipients. Liver International. 43(5). 1120–1125. 2 indexed citations
4.
Vitiello, Marianna, Alberto Mercatanti, Maurizio Podda, et al.. (2023). A Network of MicroRNAs and mRNAs Involved in Melanosome Maturation and Trafficking Defines the Lower Response of Pigmentable Melanoma Cells to Targeted Therapy. Cancers. 15(3). 894–894. 3 indexed citations
5.
Pecoraro, Martina, Giuseppina Catanzaro, Federica Conte, et al.. (2023). Prospective Validation Study of a Novel Integrated Pathway Based on Clinical Features, Magnetic Resonance Imaging Biomarkers, and MicroRNAs for Early Detection of Prostate Cancer. European Urology Oncology. 7(1). 73–82. 3 indexed citations
6.
Catanzaro, Giuseppina, Federica Conte, Viviana Maria Bimonte, et al.. (2023). Network analysis identifies circulating miR-155 as predictive biomarker of type 2 diabetes mellitus development in obese patients: a pilot study. Scientific Reports. 13(1). 19496–19496. 15 indexed citations
7.
Taglino, Francesco, Fabio Cumbo, Ivan Arisi, et al.. (2023). An ontology-based approach for modelling and querying Alzheimer’s disease data. BMC Medical Informatics and Decision Making. 23(1). 153–153. 2 indexed citations
8.
Paci, Paola, et al.. (2023). Network-based analysis to uncover drug-induced adverse side-effects. IRIS Research product catalog (Sapienza University of Rome). 3632–3637.
9.
Paci, Paola, Giulia Fiscon, Federica Conte, et al.. (2022). Comprehensive network medicine-based drug repositioning via integration of therapeutic efficacy and side effects. npj Systems Biology and Applications. 8(1). 12–12. 28 indexed citations
10.
Bonanomi, Marcella, Giulia Fiscon, Federica Conte, et al.. (2021). Transcriptomics and Metabolomics Integration Reveals Redox-Dependent Metabolic Rewiring in Breast Cancer Cells. Cancers. 13(20). 5058–5058. 13 indexed citations
11.
Conte, Federica, et al.. (2021). An Overview of the Computational Models Dealing with the Regulatory ceRNA Mechanism and ceRNA Deregulation in Cancer. Methods in molecular biology. 2324. 149–164. 26 indexed citations
12.
Fiscon, Giulia, Federica Conte, Susanna Amadio, Cinzia Volonté, & Paola Paci. (2021). Drug Repurposing: A Network-based Approach to Amyotrophic Lateral Sclerosis. Neurotherapeutics. 18(3). 1678–1691. 42 indexed citations
13.
Pecce, Valeria, Antonella Verrienti, Giulia Fiscon, et al.. (2021). The role of FOSL1 in stem-like cell reprogramming processes. Scientific Reports. 11(1). 14677–14677. 21 indexed citations
14.
Bini, Simone, Giulia Fiscon, Marialuisa Sponziello, et al.. (2021). In silico drug repurposing in COVID-19: A network-based analysis. Biomedicine & Pharmacotherapy. 142. 111954–111954. 21 indexed citations
15.
Pepe, Jessica, Michela Rossi, Giulia Battafarano, et al.. (2020). Characterization of Extracellular Vesicles in Osteoporotic Patients Compared to Osteopenic and Healthy Controls. Journal of Bone and Mineral Research. 37(11). 2186–2200. 23 indexed citations
16.
Paci, Paola, Giulia Fiscon, Federica Conte, et al.. (2020). Integrated transcriptomic correlation network analysis identifies COPD molecular determinants. Scientific Reports. 10(1). 3361–3361. 34 indexed citations
17.
Fiscon, Giulia, Federica Conte, Lorenzo Farina, et al.. (2019). Identification of Disease–miRNA Networks Across Different Cancer Types Using SWIM. Methods in molecular biology. 1970. 169–181. 6 indexed citations
18.
Fiscon, Giulia, Federica Conte, & Paola Paci. (2018). SWIM tool application to expression data of glioblastoma stem-like cell lines, corresponding primary tumors and conventional glioma cell lines. BMC Bioinformatics. 19(S15). 436–436. 24 indexed citations
19.
Bertuzzi, A., et al.. (2016). Insulin Signaling in Insulin Resistance States and Cancer: A Modeling Analysis. PLoS ONE. 11(5). e0154415–e0154415. 17 indexed citations
20.
Bruni, C., et al.. (2014). Optimal weekly scheduling in fractionated radiotherapy: effect of an upper bound on the dose fraction size. Journal of Mathematical Biology. 71(2). 361–398. 4 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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