Giulia Fiscon

2.5k citations
62 papers · 1.6k indexed · h-index 23
Topics
Bioinformatics and Genomic Networks (21 papers)Computational Drug Discovery Methods (16 papers)MicroRNA in disease regulation (9 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
Partner nations
ItalyRussiaUnited States

In The Last Decade

Giulia Fiscon

56 papers receiving 1.6k citations

Peers

Giulia Fiscon
Comparison fields: 5 of 133
  • Molecular Biology 1.1k
  • Cancer Research 467
  • Computational Theory and Mathematics 274
  • Cognitive Neuroscience 148
  • Immunology 106
Replace Minji Jeon with:
Minji Jeon South Korea
Amitabh Sharma United States
Chin‐Fu Chen United States
Tony Burdett United Kingdom
Aziz M. Mezlini United States
Lance W. Hahn United States
Javier Garcı́a-Garcı́a Spain
Carl F. Schaefer United States
Zheng Guo China
Giulia Fiscon relative to Minji Jeon South Korea Minji Jeon's profile →
Citations per field
00.5×4.5×
Minji Jeon · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 3
4 3
5 0
6 6
7 2
8 38
9 28
10 13
11 50
12 6
13 26
14 42
15 21
16 34
17 6
18 24
19 118
20 9

About Giulia Fiscon

Giulia Fiscon is a scholar working on Cancer Research, Computational Theory and Mathematics and Molecular Biology, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (21 papers), Computational Drug Discovery Methods (16 papers) and MicroRNA in disease regulation (9 papers). The work is most often cited by research in Cancer Research (467 citations), Computational Theory and Mathematics (274 citations) and Molecular Biology (1.1k citations). Giulia Fiscon has collaborated with scholars based in Italy, Russia and United States. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

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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