Silvia Gervasoni
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria 6
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- Computational Drug Discovery Methods 11
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- Immune Cell Function and Interaction 4
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- Protein Structure and Dynamics 5
- Receptor Mechanisms and Signaling 4
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- Biochemical effects in animals 4
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- Monoclonal and Polyclonal Antibodies Research 4
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- Cholinesterase and Neurodegenerative Diseases 4
- Co-authors
- Pablo MatarViviana R. RozadosGiulio VistoliAlessandro PedrettiO. Graciela ScharovskyAngelica MazzolariLaura FumagalliCarmine Talarico
- Journals
- Bioinformatics (1 paper)Scientific Reports (2 papers)International Journal of Molecular Sciences (6 papers)
- Partner nations
- ItalyArgentinaUnited States
In The Last Decade
Silvia Gervasoni
47 papers receiving 795 citations
Peers
Comparison fields: 5 of 103
- Molecular Medicine 57
- Computational Theory and Mathematics 123
- Immunology 158
- Oncology 153
- Molecular Biology 360
Countries citing papers authored by Silvia Gervasoni
This map shows the geographic impact of Silvia Gervasoni'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 Silvia Gervasoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Gervasoni more than expected).
Fields of papers citing papers by Silvia Gervasoni
This network shows the impact of papers produced by Silvia Gervasoni. 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 Silvia Gervasoni. The network helps show where Silvia Gervasoni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Silvia Gervasoni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 17 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 11 | |
| 13 | 2021 | 14 | |
| 14 | 2021 | 11 | |
| 15 | 2020 | 25 | |
| 16 | 2019 | 19 | |
| 17 | 2005 | 6 | |
| 18 | 2004 | 43 | |
| 19 | 2003 | 41 | |
| 20 | 2002 | 98 |
About Silvia Gervasoni
Silvia Gervasoni is a scholar working on Molecular Medicine, Computational Theory and Mathematics and Behavioral Neuroscience, having authored 49 papers that have together received 814 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Antibiotic Resistance in Bacteria (6 papers), Protein Structure and Dynamics (5 papers), Biochemical effects in animals (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Immune Cell Function and Interaction (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Molecular Medicine (57 citations), Computational Theory and Mathematics (123 citations) and Immunology (158 citations). Silvia Gervasoni has collaborated with scholars based in Italy, Argentina and United States. Frequent co-authors include Pablo Matar, Viviana R. Rozados, Giulio Vistoli, Alessandro Pedretti, O. Graciela Scharovsky, Angelica Mazzolari, Laura Fumagalli, Carmine Talarico, Andrea R. Beccari and Giuliano Malloci. Their work appears in journals such as Bioinformatics, Scientific Reports and International Journal of Molecular Sciences.
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.