Giulia Fiscon

2.5k total citations
62 papers, 1.6k citations indexed

About

Giulia Fiscon is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Giulia Fiscon has authored 62 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 16 papers in Computational Theory and Mathematics and 16 papers in Cancer Research. Recurrent topics in Giulia Fiscon's work include Bioinformatics and Genomic Networks (21 papers), Computational Drug Discovery Methods (16 papers) and MicroRNA in disease regulation (9 papers). Giulia Fiscon is often cited by papers focused on Bioinformatics and Genomic Networks (21 papers), Computational Drug Discovery Methods (16 papers) and MicroRNA in disease regulation (9 papers). Giulia Fiscon collaborates with scholars based in Italy, Russia and United States. Giulia Fiscon's co-authors include Paola Paci, Federica Conte, Lorenzo Farina, Valerio Licursi, Emanuel Weitschek, Giovanni Felici, Paola Bertolazzi, Teresa Colombo, Maria Cristina De Cola and Simona De Salvo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Giulia Fiscon

56 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
Giulia Fiscon Italy 23 1.1k 467 274 148 106 62 1.6k
Javier Garcı́a-Garcı́a Spain 18 1.7k 1.6× 275 0.6× 449 1.6× 30 0.2× 145 1.4× 46 2.6k
Carol Bocchini United States 9 2.2k 2.1× 308 0.7× 386 1.4× 31 0.2× 141 1.3× 9 3.3k
Chin‐Fu Chen United States 13 1.2k 1.2× 186 0.4× 218 0.8× 91 0.6× 60 0.6× 29 1.7k
Tony Burdett United Kingdom 13 2.5k 2.4× 477 1.0× 144 0.5× 45 0.3× 296 2.8× 32 4.2k
Amitabh Sharma United States 22 1.9k 1.8× 185 0.4× 546 2.0× 47 0.3× 218 2.1× 38 3.0k
José A. Seoane Spain 21 839 0.8× 372 0.8× 98 0.4× 160 1.1× 136 1.3× 55 1.6k
Qingxia Yang China 25 1.9k 1.8× 430 0.9× 496 1.8× 21 0.1× 104 1.0× 59 2.8k
Carl F. Schaefer United States 23 1.7k 1.6× 295 0.6× 282 1.0× 61 0.4× 108 1.0× 43 2.7k
Minji Jeon South Korea 12 1.4k 1.4× 382 0.8× 201 0.7× 33 0.2× 343 3.2× 26 2.5k
Aziz M. Mezlini United States 8 1.0k 1.0× 267 0.6× 132 0.5× 81 0.5× 25 0.2× 13 1.5k

Countries citing papers authored by Giulia Fiscon

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Fiscon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Fiscon

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Fiscon. A scholar is included among the top collaborators of Giulia Fiscon 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 Giulia Fiscon. Giulia Fiscon 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
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Fiscon, Giulia, et al.. (2024). Network medicine and systems pharmacology approaches to predicting adverse drug effects. British Journal of Pharmacology. 183(8). 1627–1639. 3 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
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Mezi, Silvia, Andrea Botticelli, Simone Scagnoli, et al.. (2023). The Impact of Drug–Drug Interactions on the Toxicity Profile of Combined Treatment with BRAF and MEK Inhibitors in Patients with BRAF-Mutated Metastatic Melanoma. Cancers. 15(18). 4587–4587. 6 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.
Tumino, Nicola, Francesca Besi, Stefania Martini, et al.. (2022). Polymorphonuclear Myeloid-Derived Suppressor Cells Are Abundant in Peripheral Blood of Cancer Patients and Suppress Natural Killer Cell Anti-Tumor Activity. Frontiers in Immunology. 12. 803014–803014. 38 indexed citations
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.
Fiscon, Giulia & Paola Paci. (2021). SAveRUNNER: an R-based tool for drug repurposing. BMC Bioinformatics. 22(1). 150–150. 50 indexed citations
12.
Salvadore, Francesco, Giulia Fiscon, & Paola Paci. (2021). Integro-differential approach for modeling the COVID-19 dynamics - Impact of confinement measures in Italy. Computers in Biology and Medicine. 139. 105013–105013. 6 indexed citations
13.
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
14.
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
15.
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
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.
Fiscon, Giulia, Emanuel Weitschek, Giovanni Felici, et al.. (2018). Combining EEG signal processing with supervised methods for Alzheimer’s patients classification. BMC Medical Informatics and Decision Making. 18(1). 35–35. 118 indexed citations
20.
Weitschek, Emanuel, Daniele Santoni, Giulia Fiscon, et al.. (2014). Next generation sequencing reads comparison with an alignment-free distance. BMC Research Notes. 7(1). 869–869. 9 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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