Alan Talevi

98 papers receiving 1.8k citations

Peers

Alan Talevi
Comparison fields: 5 of 126
  • Computational Theory and Mathematics 638
  • Pharmaceutical Science 144
  • Organic Chemistry 473
  • Pharmacology 122
  • Toxicology 39
Replace Maija Lahtela‐Kakkonen with:
Maija Lahtela‐Kakkonen Finland
Marcus Tullius Scotti Brazil
Francisco Jaime Bezerra Mendonça Brazil
Simone Brogi Italy
Jayme L. Dahlin United States
Vigneshwaran Namasivayam Germany
Rupesh V. Chikhale India
Vinícius Gonçalves Maltarollo Brazil
Margherita Brindisi Italy
Alessandro Pedretti Italy
Alan Talevi relative to Maija Lahtela‐Kakkonen Finland Maija Lahtela‐Kakkonen's profile →
Citations per field
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Maija Lahtela‐Kakkonen · 1×
Citations per year

Countries citing papers authored by Alan Talevi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Alan Talevi Line = papers co-authored together Alan Talevi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015271
2 200885
3 201877
4 201956
5 202050
6 200748
7 201547
8 200744
9 201042
10 201239
11 201836
12 201833
13 201333
14 202132
15 201632
16 201031
17 201830
18 201629
19 200728
20 201926

About Alan Talevi

Alan Talevi is a scholar working on Computational Theory and Mathematics, Pharmaceutical Science, Organic Chemistry, Psychiatry and Mental health and Sensory Systems, having authored 103 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (47 papers), Trypanosoma species research and implications (18 papers), Synthesis and Biological Evaluation (12 papers), Research on Leishmaniasis Studies (11 papers), Epilepsy research and treatment (11 papers), Chemical Synthesis and Analysis (8 papers), Neuroscience and Neuropharmacology Research (8 papers) and Synthesis and biological activity (8 papers). The work is most often cited by research in Computational Theory and Mathematics (638 citations), Pharmaceutical Science (144 citations), Organic Chemistry (473 citations), Pharmacology (122 citations) and Toxicology (39 citations). Alan Talevi has collaborated with scholars based in Argentina, Uruguay and Brazil. Frequent co-authors include Luis E. Bruno‐Blanch, Carolina L. Bellera, Eduardo A. Castro, María L. Sbaraglini, Pablo R. Duchowicz, María Esperanza Ruiz, Luciana Gavernet, 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 Mini-Reviews in Medicinal Chemistry.

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.

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