Néstor Pinto

491 total citations
10 papers, 402 citations indexed

About

Néstor Pinto is a scholar working on Epidemiology, Insect Science and Parasitology. According to data from OpenAlex, Néstor Pinto has authored 10 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 6 papers in Insect Science and 3 papers in Parasitology. Recurrent topics in Néstor Pinto's work include Trypanosoma species research and implications (9 papers), Insect symbiosis and bacterial influences (4 papers) and Entomopathogenic Microorganisms in Pest Control (3 papers). Néstor Pinto is often cited by papers focused on Trypanosoma species research and implications (9 papers), Insect symbiosis and bacterial influences (4 papers) and Entomopathogenic Microorganisms in Pest Control (3 papers). Néstor Pinto collaborates with scholars based in Colombia, United Kingdom and Bolivia. Néstor Pinto's co-authors include Felipe Guhl, Germán Aguilera, Daniela Vergara, Diarmid Campbell‐Lendrum, Clive R. Davies, Fernando Rosas, Dulce María Bustamante, Julia Fox‐Rushby, Jean Dujardin and Carlota Monroy and has published in prestigious journals such as International Journal of Epidemiology, PLoS neglected tropical diseases and Journal of Medical Entomology.

In The Last Decade

Néstor Pinto

9 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Néstor Pinto Colombia 6 331 197 147 68 33 10 402
Germán Aguilera Colombia 9 342 1.0× 203 1.0× 200 1.4× 72 1.1× 36 1.1× 13 459
Rita de Cássia Moreira de Souza Brazil 13 300 0.9× 184 0.9× 192 1.3× 91 1.3× 25 0.8× 30 371
Cláudia Mendonça Bezerra Brazil 11 275 0.8× 185 0.9× 188 1.3× 76 1.1× 19 0.6× 20 336
Mónica Beatriz Castañera Argentina 9 352 1.1× 177 0.9× 253 1.7× 119 1.8× 31 0.9× 11 432
Francisco S. Palomeque United States 10 455 1.4× 308 1.6× 206 1.4× 69 1.0× 55 1.7× 15 545
Jenny Ancca‐Juárez Peru 12 260 0.8× 151 0.8× 209 1.4× 73 1.1× 43 1.3× 21 363
Herton Helder Rocha Pires Brazil 13 264 0.8× 232 1.2× 148 1.0× 69 1.0× 24 0.7× 30 420
Sebastião Aldo S. Valente Brazil 7 418 1.3× 223 1.1× 242 1.6× 106 1.6× 33 1.0× 9 520
R Campos Chile 13 296 0.9× 171 0.9× 144 1.0× 75 1.1× 16 0.5× 38 365
Antonella Bacigalupo Chile 15 367 1.1× 238 1.2× 228 1.6× 114 1.7× 61 1.8× 33 505

Countries citing papers authored by Néstor Pinto

Since Specialization
Citations

This map shows the geographic impact of Néstor Pinto'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 Néstor Pinto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Néstor Pinto more than expected).

Fields of papers citing papers by Néstor Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Néstor Pinto. 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 Néstor Pinto. The network helps show where Néstor Pinto may publish in the future.

Co-authorship network of co-authors of Néstor Pinto

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

All Works

10 of 10 papers shown
1.
2.
Cardona, Ángela María Segura, Piedad Agudelo‐Flórez, Néstor Pinto, et al.. (2022). Risk factors and spatial analysis for domiciliary infestation with the Chagas disease vector Triatoma venosa in Colombia. Therapeutic Advances in Infectious Disease. 9. 2008318980–2008318980. 1 indexed citations
3.
Guhl, Felipe, Néstor Pinto, & Germán Aguilera. (2009). Sylvatic triatominae: a new challenge in vector control transmission. Memórias do Instituto Oswaldo Cruz. 104(suppl 1). 71–75. 107 indexed citations
4.
Castillo‐Riquelme, Marianela, Felipe Guhl, Néstor Pinto, et al.. (2008). The Costs of Preventing and Treating Chagas Disease in Colombia. PLoS neglected tropical diseases. 2(11). e336–e336. 51 indexed citations
5.
Campbell‐Lendrum, Diarmid, Vı́ctor Manuel Angulo, Gabriel Parra-Henao, et al.. (2007). House-level risk factors for triatomine infestation in Colombia. International Journal of Epidemiology. 36(4). 866–872. 46 indexed citations
6.
Guhl, Felipe, Germán Aguilera, Néstor Pinto, & Daniela Vergara. (2007). Actualización de la distribución geográfica y ecoepidemiología de la fauna de triatominos (Reduviidae: Triatominae) en Colombia. Biomédica. 27(1esp). 143–143. 116 indexed citations
7.
Pinto, Néstor, et al.. (2006). Genetic structure of Triatoma venosa (Hemiptera: Reduviidae): molecular and morphometric evidence. Memórias do Instituto Oswaldo Cruz. 101(1). 39–45. 28 indexed citations
8.
Bustamante, Dulce María, Carlota Monroy, Antonieta Rodas, et al.. (2004). Metric Variation Among Geographic Populations of the Chagas VectorTriatoma dimidiata(Hemiptera: Reduviidae: Triatominae) and Related Species. Journal of Medical Entomology. 41(3). 296–301. 51 indexed citations
9.
Jaramillo, Carlos, et al.. (2004). Estudio preliminar de la estructura genetica de Triatoma venosa (Hemiptera: Reduviidae) mediantemarcadores moleculares RAPD. 30(2). 157–160. 1 indexed citations
10.
Jaramillo, Carlos, et al.. (2003). Estudio preliminar de la estructura genética de poblaciones domésticas, peridomésticas y silvestres de Triatoma dimidiata (Hemiptera: Keduviidae). Revista Colombiana de Entomología. 29(1). 1–5. 1 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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