Federica Conte
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 17
- Circular RNAs in diseases 3
- Gene Regulatory Network Analysis 3
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- MicroRNA in disease regulation 9
- Cancer-related molecular mechanisms research 7
- Co-authors
- Paola Paci (36 shared papers)Giulia Fiscon (28 shared papers)Valerio Licursi (5 shared papers)Lorenzo Farina (13 shared papers)Matteo Chiara (1 shared paper)Teresa Colombo (1 shared paper)Joseph Loscalzo (2 shared papers)Rui‐Sheng Wang (2 shared papers)
- Journals
- Scientific Reports (5 papers)International Journal of Molecular Sciences (4 papers)PLoS ONE (3 papers)Cancers (2 papers)BMC Bioinformatics (2 papers)
- Partner nations
- ItalyRussiaUnited States
In The Last Decade
Federica Conte
45 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 124
- Cancer Research 425
- Computational Theory and Mathematics 216
- Molecular Biology 908
- Biological Psychiatry 25
- Immunology 101
Countries citing papers authored by Federica Conte
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
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-authors
The 25 scholars most cited alongside Federica Conte, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 272 | |
| 2 | 2020 | 105 | |
| 3 | 2017 | 89 | |
| 4 | 2021 | 70 | |
| 5 | 2019 | 68 | |
| 6 | 2021 | 67 | |
| 7 | 2018 | 54 | |
| 8 | 2018 | 43 | |
| 9 | 2021 | 42 | |
| 10 | 2018 | 36 | |
| 11 | 2005 | 36 | |
| 12 | 2020 | 34 | |
| 13 | 2019 | 28 | |
| 14 | 2022 | 28 | |
| 15 | 2021 | 26 | |
| 16 | 2018 | 24 | |
| 17 | 1979 | 24 | |
| 18 | 2020 | 23 | |
| 19 | 2020 | 23 | |
| 20 | 2021 | 21 |
About Federica Conte
Federica Conte is a scholar working on Molecular Biology, Cancer Research, Computational Theory and Mathematics, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (17 papers), MicroRNA in disease regulation (9 papers), Computational Drug Discovery Methods (9 papers), Cancer-related molecular mechanisms research (7 papers), Alzheimer's disease research and treatments (3 papers), Cancer Cells and Metastasis (3 papers), Circular RNAs in diseases (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Cancer Research (425 citations), Computational Theory and Mathematics (216 citations), Molecular Biology (908 citations), Biological Psychiatry (25 citations) and Immunology (101 citations). Federica Conte has collaborated with scholars based in Italy, Russia and United States. Frequent co-authors include Paola Paci, Giulia Fiscon, Valerio Licursi, Lorenzo Farina, Matteo Chiara, Teresa Colombo, Joseph Loscalzo, Rui‐Sheng Wang, Cinzia Volonté and Susanna Amadio. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences, PLoS ONE, Cancers and BMC Bioinformatics.
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.