Alan Talevi
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Pharmaceutical Science top 2%
- Advanced Drug Delivery Systems
Papers in
-
- Computational Drug Discovery Methods 63
- Co-authors
- Luis E. Bruno‐Blanch (31 shared papers)Carolina L. Bellera (65 shared papers)María Esperanza Ruiz (29 shared papers)Eduardo A. Castro (14 shared papers)María L. Sbaraglini (23 shared papers)Luciana Gavernet (24 shared papers)Pablo R. Duchowicz (5 shared papers)Lucas N. Alberca (27 shared papers)
In The Last Decade
Alan Talevi
157 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 127
- Computational Theory and Mathematics 759
- Pharmaceutical Science 196
- Pharmacology 159
- Organic Chemistry 505
- Molecular Biology 856
Countries citing papers authored by Alan Talevi
This map shows the geographic impact of Alan Talevi'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 Alan Talevi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Talevi more than expected).
Fields of papers citing papers by Alan Talevi
This network shows the impact of papers produced by Alan Talevi. 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 Alan Talevi. The network helps show where Alan Talevi may publish in the future.
Co-authors
The 25 scholars most cited alongside Alan Talevi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 303 | |
| 2 | 2008 | 92 | |
| 3 | 2018 | 88 | |
| 4 | 2019 | 61 | |
| 5 | 2015 | 58 | |
| 6 | 2020 | 54 | |
| 7 | 2007 | 52 | |
| 8 | 2010 | 47 | |
| 9 | 2007 | 47 | |
| 10 | 2018 | 47 | |
| 11 | 2012 | 44 | |
| 12 | 2018 | 39 | |
| 13 | 2013 | 37 | |
| 14 | 2016 | 37 | |
| 15 | 2018 | 36 | |
| 16 | 2016 | 35 | |
| 17 | 2010 | 35 | |
| 18 | 2013 | 35 | |
| 19 | 2023 | 34 | |
| 20 | 2021 | 34 |
About Alan Talevi
Alan Talevi is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pediatrics, Perinatology and Child Health, Organic Chemistry and Oncology, having authored 179 papers that have together received 2.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (63 papers), Drug Transport and Resistance Mechanisms (23 papers), Epilepsy research and treatment (21 papers), Pharmacological Effects and Toxicity Studies (21 papers), Drug Solubulity and Delivery Systems (18 papers), Trypanosoma species research and implications (18 papers), Advanced Drug Delivery Systems (18 papers) and Pharmaceutical studies and practices (15 papers). The work is most often cited by research in Computational Theory and Mathematics (759 citations), Pharmaceutical Science (196 citations), Pharmacology (159 citations), Organic Chemistry (505 citations) and Molecular Biology (856 citations). Alan Talevi has collaborated with scholars based in Argentina, Brazil and Uruguay. Frequent co-authors include Luis E. Bruno‐Blanch, Carolina L. Bellera, María Esperanza Ruiz, Eduardo A. Castro, María L. Sbaraglini, Luciana Gavernet, Pablo R. Duchowicz, Lucas N. Alberca, Carolina Carrillo and Guillermo R. Castro. Their work appears in journals such as Journal of Chemical Information and Modeling, Expert Opinion on Drug Discovery, Current Topics in Medicinal Chemistry, European Journal of Medicinal Chemistry and Journal of Computer-Aided Molecular Design.
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.