Claudio N. Cavasotto
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods 39
- Molecular Biology top 2%
- Protein Structure and Dynamics 20
- Receptor Mechanisms and Signaling 14
- Chemical Synthesis and Analysis 5
- Pharmacology top 5%
- Organic Chemistry top 5%
- Click Chemistry and Applications 9
-
- Monoclonal and Polyclonal Antibodies Research 9
-
- Spectroscopy and Quantum Chemical Studies 6
-
- Machine Learning in Materials Science 6
- Co-authors
- Ruben AbagyanSharangdhar S. PhatakAndrew OrryJuan I. Di FilippoValeria ScardinoJulio KovacsNatalia S. AdlerFrancesca Spyrakis
- Partner nations
- United StatesArgentinaSpain
In The Last Decade
Claudio N. Cavasotto
83 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 150
- Computational Theory and Mathematics 1.8k
- Molecular Biology 2.7k
- Pharmacology 349
- Organic Chemistry 576
- Cellular and Molecular Neuroscience 343
Countries citing papers authored by Claudio N. Cavasotto
This map shows the geographic impact of Claudio N. Cavasotto'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 Claudio N. Cavasotto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudio N. Cavasotto more than expected).
Fields of papers citing papers by Claudio N. Cavasotto
This network shows the impact of papers produced by Claudio N. Cavasotto. 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 Claudio N. Cavasotto. The network helps show where Claudio N. Cavasotto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Claudio N. Cavasotto, 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 | 2020 | 18 | |
| 2 | 2020 | 23 | |
| 3 | 2020 | 31 | |
| 4 | 2020 | 36 | |
| 5 | 2019 | 29 | |
| 6 | 2018 | 63 | |
| 7 | 2018 | 14 | |
| 8 | 2017 | 21 | |
| 9 | 2017 | 21 | |
| 10 | 2011 | 2 | |
| 11 | 2011 | 36 | |
| 12 | 2011 | 24 | |
| 13 | 2010 | 69 | |
| 14 | 2009 | 79 | |
| 15 | 2008 | 31 | |
| 16 | 2007 | 197 | |
| 17 | 2006 | 61 | |
| 18 | 2006 | 54 | |
| 19 | 2003 | 63 | |
| 20 | 1990 | 1 |
About Claudio N. Cavasotto
Claudio N. Cavasotto is a scholar working on Computational Theory and Mathematics, Molecular Biology and Organic Chemistry, having authored 85 papers that have together received 4.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (39 papers), Protein Structure and Dynamics (20 papers), Receptor Mechanisms and Signaling (14 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Click Chemistry and Applications (9 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Machine Learning in Materials Science (6 papers) and Chemical Synthesis and Analysis (5 papers). The work is most often cited by research in Computational Theory and Mathematics (1.8k citations), Molecular Biology (2.7k citations) and Pharmacology (349 citations). Claudio N. Cavasotto has collaborated with scholars based in United States, Argentina and Spain. Frequent co-authors include Ruben Abagyan, Sharangdhar S. Phatak, Andrew Orry, Juan I. Di Filippo, Valeria Scardino, Julio Kovacs, Natalia S. Adler, Francesca Spyrakis, Michael J. Garabedian and Victor M. Anisimov.
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.