Alan Talevi

3.3k total citations
103 papers, 1.9k citations indexed

About

Alan Talevi is a scholar working on Computational Theory and Mathematics, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Alan Talevi has authored 103 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computational Theory and Mathematics, 40 papers in Molecular Biology and 24 papers in Organic Chemistry. Recurrent topics in Alan Talevi's work include Computational Drug Discovery Methods (47 papers), Trypanosoma species research and implications (18 papers) and Synthesis and Biological Evaluation (12 papers). Alan Talevi is often cited by papers focused on Computational Drug Discovery Methods (47 papers), Trypanosoma species research and implications (18 papers) and Synthesis and Biological Evaluation (12 papers). Alan Talevi collaborates with scholars based in Argentina, Uruguay and Brazil. Alan Talevi's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and International Journal of Pharmaceutics.

In The Last Decade

Alan Talevi

98 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alan Talevi Argentina 24 757 638 473 301 219 103 1.9k
Marcus Tullius Scotti Brazil 25 713 0.9× 403 0.6× 451 1.0× 164 0.5× 233 1.1× 175 2.0k
Jayme L. Dahlin United States 17 1.1k 1.5× 357 0.6× 353 0.7× 105 0.3× 97 0.4× 41 2.6k
Vigneshwaran Namasivayam Germany 27 1.1k 1.5× 733 1.1× 539 1.1× 184 0.6× 71 0.3× 90 3.3k
Francisco Jaime Bezerra Mendonça Brazil 27 623 0.8× 227 0.4× 840 1.8× 208 0.7× 330 1.5× 131 2.0k
Simone Brogi Italy 33 1.4k 1.8× 566 0.9× 724 1.5× 216 0.7× 316 1.4× 130 3.1k
Maija Lahtela‐Kakkonen Finland 30 1.1k 1.4× 318 0.5× 424 0.9× 404 1.3× 53 0.2× 76 2.7k
Gabriel Navarrete‐Vázquez Mexico 35 1.2k 1.6× 288 0.5× 1.5k 3.2× 202 0.7× 229 1.0× 145 3.6k
Thanigaimalai Pillaiyar Germany 27 908 1.2× 812 1.3× 788 1.7× 87 0.3× 65 0.3× 82 3.7k
Jingshan Shen China 22 778 1.0× 269 0.4× 517 1.1× 212 0.7× 45 0.2× 158 1.8k
Keng‐Chang Tsai Taiwan 27 975 1.3× 406 0.6× 555 1.2× 263 0.9× 32 0.1× 103 2.2k

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-authorship network of co-authors of Alan Talevi

This figure shows the co-authorship network connecting the top 25 collaborators of Alan Talevi. A scholar is included among the top collaborators of Alan Talevi 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 Alan Talevi. Alan Talevi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Alberca, Lucas N., et al.. (2025). In silico screening to search for selective sodium channel blockers: When size matters. Brain Research. 1856. 149571–149571.
2.
Rodrı́guez, Santiago, Germán A. Islan, Wagner José Fávaro, et al.. (2023). Potential biocide roles of violacein. Frontiers in Nanotechnology. 5. 4 indexed citations
3.
Muraca, Giuliana, María Esperanza Ruiz, Sebastián Scioli Montoto, et al.. (2023). Nanostructured lipid carriers containing benznidazole: physicochemical, biopharmaceutical and cellular in vitro studies. Beilstein Journal of Nanotechnology. 14. 804–818. 9 indexed citations
4.
Corvi, María M., et al.. (2023). Triclabendazole and clofazimine reduce replication and spermine uptake in vitro in Toxoplasma gondii. Parasitology Research. 123(1). 69–69. 1 indexed citations
5.
Enrique, Nicolás, Sebastián Scioli Montoto, María Esperanza Ruiz, et al.. (2023). A Combined Ligand- and Structure-Based Virtual Screening To Identify Novel NaV1.2 Blockers: In Vitro Patch Clamp Validation and In Vivo Anticonvulsant Activity. Journal of Chemical Information and Modeling. 63(22). 7083–7096. 5 indexed citations
6.
Bellera, Carolina L., et al.. (2022). iRaPCA and SOMoC: Development and Validation of Web Applications for New Approaches for the Clustering of Small Molecules. Journal of Chemical Information and Modeling. 62(12). 2987–2998. 13 indexed citations
7.
Alberca, Lucas N., María L. Sbaraglini, Laura Fraccaroli, et al.. (2022). A combined ligand and target-based virtual screening strategy to repurpose drugs as putrescine uptake inhibitors with trypanocidal activity. Journal of Computer-Aided Molecular Design. 37(2). 75–90. 2 indexed citations
8.
Enrique, Nicolás, et al.. (2022). Structure-Based Virtual Screening Identifies Novobiocin, Montelukast, and Cinnarizine as TRPV1 Modulators with Anticonvulsant Activity In Vivo. Journal of Chemical Information and Modeling. 62(12). 3008–3022. 12 indexed citations
9.
Alberca, Lucas N., et al.. (2022). LIDeB Tools: A Latin American resource of freely available, open-source cheminformatics apps. SHILAP Revista de lepidopterología. 2. 100049–100049. 9 indexed citations
10.
Rodrı́guez, Santiago, et al.. (2021). Strengths and Weaknesses of Docking Simulations in the SARS-CoV-2 Era: the Main Protease (Mpro) Case Study. Journal of Chemical Information and Modeling. 61(8). 3758–3770. 32 indexed citations
11.
Talevi, Alan. (2021). Potential medicinal effects and applications of stevia constituents. Phytochemistry Reviews. 21(1). 161–178. 16 indexed citations
12.
Bellera, Carolina L., et al.. (2021). Ensemble learning application to discover new trypanothione synthetase inhibitors. Molecular Diversity. 25(3). 1361–1373. 4 indexed citations
13.
Alberca, Lucas N., et al.. (2021). Tetracycline Derivatives Inhibit Plasmodial Cysteine Protease Falcipain-2 through Binding to a Distal Allosteric Site. Journal of Chemical Information and Modeling. 62(1). 159–175. 5 indexed citations
14.
Alberca, Lucas N., et al.. (2021). Homology Modeling and Molecular Dynamics Simulations ofTrypanosoma cruziPhosphodiesterase b1. Chemistry & Biodiversity. 19(1). e202100712–e202100712. 3 indexed citations
15.
Alberca, Lucas N., et al.. (2020). Application of target repositioning and in silico screening to exploit fatty acid binding proteins (FABPs) from Echinococcus multilocularis as possible drug targets. Journal of Computer-Aided Molecular Design. 34(12). 1275–1288. 12 indexed citations
16.
Chuguransky, Sara, et al.. (2020). Positive Predictive Value Surfaces as a Complementary Tool to Assess the Performance of Virtual Screening Methods. Mini-Reviews in Medicinal Chemistry. 20(14). 1447–1460. 3 indexed citations
17.
Alberca, Lucas N., María L. Sbaraglini, Darío Balcazar, et al.. (2016). Discovery of novel polyamine analogs with anti-protozoal activity by computer guided drug repositioning. Journal of Computer-Aided Molecular Design. 30(4). 305–321. 32 indexed citations
18.
Bruno‐Blanch, Luis E., et al.. (2015). Computer-Aided Identification of Anticonvulsant Effect of Natural Nonnutritive Sweeteners Stevioside and Rebaudioside A. Assay and Drug Development Technologies. 13(6). 313–318. 7 indexed citations
19.
Bellera, Carolina L., Darío Balcazar, Lucas N. Alberca, et al.. (2014). Identification of Levothyroxine Antichagasic Activity through Computer-Aided Drug Repurposing. The Scientific World JOURNAL. 2014. 1–9. 20 indexed citations
20.
Talevi, Alan, Eduardo A. Castro, & Luis E. Bruno‐Blanch. (2006). New solubility models based on descriptors derived from the Detour Matrix. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 94. 129–141. 2 indexed citations

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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