Federico Comitani
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Nicotinic Acetylcholine Receptors Study
- Receptor Mechanisms and Signaling
Papers in
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- Nicotinic Acetylcholine Receptors Study 5
- Ion channel regulation and function 3
- Protein Structure and Dynamics 2
- Single-cell and spatial transcriptomics 1
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- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Francesco Luigi Gervasio (4 shared papers)Carla Molteni (8 shared papers)Vittorio Limongelli (1 shared paper)Alberto Vailati (1 shared paper)J. Ashby (2 shared papers)Sarah C. R. Lummis (2 shared papers)Claudio Melis (2 shared papers)Giorgio Saladino (2 shared papers)
- Journals
- Journal of Chemical Theory and Computation (4 papers)Biochemical Society Transactions (1 paper)Interface Focus (1 paper)Journal of Computer-Aided Molecular Design (1 paper)The Journal of Physical Chemistry Letters (1 paper)
- Partner nations
- United KingdomItalyCanada
In The Last Decade
Federico Comitani
15 papers receiving 354 citations
Peers
Comparison fields: 5 of 82
- Computational Theory and Mathematics 68
- Molecular Biology 253
- Insect Science 43
- Cellular and Molecular Neuroscience 60
- Neurology 21
Countries citing papers authored by Federico Comitani
This map shows the geographic impact of Federico Comitani'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 Federico Comitani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Comitani more than expected).
Fields of papers citing papers by Federico Comitani
This network shows the impact of papers produced by Federico Comitani. 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 Federico Comitani. The network helps show where Federico Comitani may publish in the future.
Co-authors
The 25 scholars most cited alongside Federico Comitani, 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 | 2018 | 56 | |
| 2 | 2012 | 47 | |
| 3 | 2018 | 47 | |
| 4 | 2016 | 40 | |
| 5 | 2018 | 31 | |
| 6 | 2012 | 28 | |
| 7 | 2018 | 28 | |
| 8 | 2014 | 16 | |
| 9 | 2022 | 14 | |
| 10 | 2019 | 13 | |
| 11 | 2019 | 11 | |
| 12 | 2017 | 11 | |
| 13 | 2015 | 10 | |
| 14 | 2019 | 3 | |
| 15 | 2021 | 2 |
About Federico Comitani
Federico Comitani is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Insect Science, Organic Chemistry and Computational Theory and Mathematics, having authored 15 papers that have together received 357 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (5 papers), Insect and Pesticide Research (3 papers), Ion channel regulation and function (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Computational Drug Discovery Methods (2 papers), Protein Structure and Dynamics (2 papers), Single-cell and spatial transcriptomics (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Computational Theory and Mathematics (68 citations), Molecular Biology (253 citations), Insect Science (43 citations), Cellular and Molecular Neuroscience (60 citations) and Neurology (21 citations). Federico Comitani has collaborated with scholars based in United Kingdom, Italy and Canada. Frequent co-authors include Francesco Luigi Gervasio, Carla Molteni, Vittorio Limongelli, Alberto Vailati, J. Ashby, Sarah C. R. Lummis, Claudio Melis, Giorgio Saladino, Dennis A. Dougherty and Kerry L. Price. Their work appears in journals such as Journal of Chemical Theory and Computation, Biochemical Society Transactions, Interface Focus, Journal of Computer-Aided Molecular Design and The Journal of Physical Chemistry Letters.
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.