Simone Albani
Impact in
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- Computational Drug Discovery Methods
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- Ion channel regulation and function 3
- Protein Structure and Dynamics 3
- Ion Transport and Channel Regulation 2
- Protein Tyrosine Phosphatases 1
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- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Giulia Rossetti (8 shared papers)Paola Storici (3 shared papers)Andrea Zaliani (3 shared papers)Maria Kuzikov (3 shared papers)Elisa Costanzi (3 shared papers)Angelika Lampert (2 shared papers)Nicola Demitri (2 shared papers)Francesca Esposito (1 shared paper)
In The Last Decade
Simone Albani
10 papers receiving 173 citations
Peers
Comparison fields: 5 of 65
- Computational Theory and Mathematics 80
- Infectious Diseases 54
- Molecular Biology 81
- Organic Chemistry 29
- Physical and Theoretical Chemistry 5
Countries citing papers authored by Simone Albani
This map shows the geographic impact of Simone Albani'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 Simone Albani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Albani more than expected).
Fields of papers citing papers by Simone Albani
This network shows the impact of papers produced by Simone Albani. 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 Simone Albani. The network helps show where Simone Albani may publish in the future.
Co-authors
The 25 scholars most cited alongside Simone Albani, 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 | 2021 | 49 | |
| 2 | 2021 | 35 | |
| 3 | 2022 | 25 | |
| 4 | 2022 | 24 | |
| 5 | 2021 | 14 | |
| 6 | A distribution semantics for probabilistic ontologies | 2011 | 14 |
| 7 | 2023 | 6 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 1 |
About Simone Albani
Simone Albani is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 174 indexed citations. Recurring topics across this work include Ion channel regulation and function (3 papers), Computational Drug Discovery Methods (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Protein Structure and Dynamics (3 papers), Ion Transport and Channel Regulation (2 papers), Semantic Web and Ontologies (1 paper), Pain Mechanisms and Treatments (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Computational Theory and Mathematics (80 citations), Infectious Diseases (54 citations), Molecular Biology (81 citations), Organic Chemistry (29 citations) and Physical and Theoretical Chemistry (5 citations). Simone Albani has collaborated with scholars based in Germany, Italy and France. Frequent co-authors include Giulia Rossetti, Paola Storici, Andrea Zaliani, Maria Kuzikov, Elisa Costanzi, Angelika Lampert, Nicola Demitri, Francesca Esposito, Anna B. Roehl and Elena Bellodi. Their work appears in journals such as Molecules, ACS Pharmacology & Translational Science, International Journal of Biological Macromolecules, International Journal of Molecular Sciences and Proceedings of the National Academy of 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.