Fabio Zuccotto
- Molecular Biology
- Organic Chemistry top 5%
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Infectious Diseases top 10%
- Co-authors
- Elena CasaleMauro AngioliniElena ArdiniIan H. GilbertAnna BernardiReto BrunLuis M. Ruiz‐PérezDolores González‐Pacanowska
- Topics
- Trypanosoma species research and implications (9 papers)Computational Drug Discovery Methods (8 papers)Biochemical and Molecular Research (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyPLoS ONE
- Partner nations
- United KingdomSpainItaly
In The Last Decade
Fabio Zuccotto
23 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 591
- Organic Chemistry 361
- Epidemiology 275
- Public Health, Environmental and Occupational Health 169
- Infectious Diseases 165
Countries citing papers authored by Fabio Zuccotto
This map shows the geographic impact of Fabio Zuccotto'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 Fabio Zuccotto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Zuccotto more than expected).
Fields of papers citing papers by Fabio Zuccotto
This network shows the impact of papers produced by Fabio Zuccotto. 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 Fabio Zuccotto. The network helps show where Fabio Zuccotto may publish in the future.
Co-authorship network of co-authors of Fabio Zuccotto
This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Zuccotto. A scholar is included among the top collaborators of Fabio Zuccotto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fabio Zuccotto. Fabio Zuccotto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 16 | |
| 5 | 12 | |
| 6 | 12 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 14 | |
| 10 | 29 | |
| 11 | 14 | |
| 12 | 88 | |
| 13 | 34 | |
| 14 | 18 | |
| 15 | 397 | |
| 16 | 48 | |
| 17 | 18 | |
| 18 | 55 | |
| 19 | 24 | |
| 20 | 57 |
About Fabio Zuccotto
Fabio Zuccotto is a scholar working on Computational Theory and Mathematics, Endocrinology and Molecular Biology, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (9 papers), Computational Drug Discovery Methods (8 papers) and Biochemical and Molecular Research (6 papers). The work is most often cited by research in Organic Chemistry (361 citations), Computational Theory and Mathematics (153 citations) and Infectious Diseases (165 citations). Fabio Zuccotto has collaborated with scholars based in United Kingdom, Spain and Italy. Frequent co-authors include Elena Casale, Mauro Angiolini, Elena Ardini, Ian H. Gilbert, Anna Bernardi, Reto Brun, Luis M. Ruiz‐Pérez, Dolores González‐Pacanowska, Paul G. Wyatt and David Horn. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and PLoS ONE.
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.