Leonardo Lanati

428 total citations
7 papers, 313 citations indexed

About

Leonardo Lanati is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Insect Science. According to data from OpenAlex, Leonardo Lanati has authored 7 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Public Health, Environmental and Occupational Health and 3 papers in Insect Science. Recurrent topics in Leonardo Lanati's work include Trypanosoma species research and implications (6 papers), Research on Leishmaniasis Studies (5 papers) and Insect symbiosis and bacterial influences (3 papers). Leonardo Lanati is often cited by papers focused on Trypanosoma species research and implications (6 papers), Research on Leishmaniasis Studies (5 papers) and Insect symbiosis and bacterial influences (3 papers). Leonardo Lanati collaborates with scholars based in Argentina, United States and Italy. Leonardo Lanati's co-authors include Leonardo A. Ceballos, Marta Victoria Cardinal, R Gürtler, Ricardo E. Gürtler, Marta A. Lauricella, Raúl Stariolo, Uriel Kitron, Alejandro G. Schijman, Mariano J. Levin and Paula L. Marcet and has published in prestigious journals such as PLoS ONE, PLoS neglected tropical diseases and International Journal for Parasitology.

In The Last Decade

Leonardo Lanati

7 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leonardo Lanati Argentina	7	269	209	135	98	27	7	313
Paula G. Ragone Argentina	11	309 1.1×	253 1.2×	143 1.1×	80 0.8×	26 1.0×	20	328
Nilsa González Paraguay	6	305 1.1×	223 1.1×	168 1.2×	85 0.9×	44 1.6×	20	352
Cláudia Mendonça Bezerra Brazil	11	275 1.0×	188 0.9×	185 1.4×	76 0.8×	18 0.7×	20	336
Elsa López Paraguay	6	316 1.2×	214 1.0×	174 1.3×	81 0.8×	45 1.7×	14	341
Dawn M. Roellig United States	6	343 1.3×	258 1.2×	132 1.0×	107 1.1×	25 0.9×	7	371
I. A. Frame United Kingdom	11	251 0.9×	242 1.2×	107 0.8×	84 0.9×	39 1.4×	18	371
Nina Yaksic France	10	333 1.2×	237 1.1×	130 1.0×	84 0.9×	52 1.9×	12	355
Carlos José de Carvalho Moreira Brazil	10	197 0.7×	138 0.7×	141 1.0×	69 0.7×	38 1.4×	20	314
Maikell Segovia Venezuela	8	352 1.3×	238 1.1×	183 1.4×	78 0.8×	55 2.0×	11	380
Jenny Telleria France	14	454 1.7×	391 1.9×	171 1.3×	117 1.2×	54 2.0×	19	520

Countries citing papers authored by Leonardo Lanati

Since Specialization

Citations

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

Fields of papers citing papers by Leonardo Lanati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Lanati

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

All Works

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7 of 7 papers shown

Lanati, Leonardo, et al.. (2020). Domestic host availability modifies human‐triatomine contact and host shifts of the Chagas disease vector Triatoma infestans in the humid Argentine Chaco. Medical and Veterinary Entomology. 34(4). 459–469. 12 indexed citations

Allievi, Mariana C., María Mercedes Palomino, Mariano Acosta, et al.. (2014). Contribution of S-Layer Proteins to the Mosquitocidal Activity of Lysinibacillus sphaericus. PLoS ONE. 9(10). e111114–e111114. 29 indexed citations

Fernández, María del Pilar, María Carla Cecere, Leonardo Lanati, et al.. (2014). Geographic variation of Trypanosoma cruzi discrete typing units from Triatoma infestans at different spatial scales. Acta Tropica. 140. 10–18. 14 indexed citations

Cardinal, Marta Victoria, et al.. (2012). Direct molecular identification of Trypanosoma cruzi Discrete Typing Units in domestic and peridomestic Triatoma infestans and Triatoma sordida from the Argentine Chaco. Parasitology. 139(12). 1570–1579. 36 indexed citations

Enriquez, Gustavo Fabián, Marta Victoria Cardinal, Marcela Orozco, et al.. (2012). Discrete typing units of Trypanosoma cruzi identified in rural dogs and cats in the humid Argentinean Chaco. Parasitology. 140(3). 303–308. 38 indexed citations

Gürtler, Ricardo E., et al.. (2009). Strong Host-Feeding Preferences of the Vector Triatoma infestans Modified by Vector Density: Implications for the Epidemiology of Chagas Disease. PLoS neglected tropical diseases. 3(5). e447–e447. 86 indexed citations

Cardinal, Marta Victoria, Marta A. Lauricella, Leonardo A. Ceballos, et al.. (2008). Molecular epidemiology of domestic and sylvatic Trypanosoma cruzi infection in rural northwestern Argentina. International Journal for Parasitology. 38(13). 1533–1543. 98 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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