Mario Ortiz

43 total papers · 609 total citations
26 papers, 385 citations indexed

About

Mario Ortiz is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Insect Science. According to data from OpenAlex, Mario Ortiz has authored 26 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 13 papers in Public Health, Environmental and Occupational Health and 11 papers in Insect Science. Recurrent topics in Mario Ortiz's work include Trypanosoma species research and implications (10 papers), Insect symbiosis and bacterial influences (7 papers) and Mosquito-borne diseases and control (7 papers). Mario Ortiz is often cited by papers focused on Trypanosoma species research and implications (10 papers), Insect symbiosis and bacterial influences (7 papers) and Mosquito-borne diseases and control (7 papers). Mario Ortiz collaborates with scholars based in Colombia, Canada and Argentina. Mario Ortiz's co-authors include Á. Moncayo, Jorge Molina, Camila González, Cielo León, Felipe Guhl, Juan David Ramírez, Juan Manuel Cordovez, Andrea Paz, Beate Sander and Andrés Link and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLoS neglected tropical diseases.

In The Last Decade

Mario Ortiz

22 papers receiving 374 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mario Ortiz 223 211 128 64 42 26 385
Jenny Ancca‐Juárez 258 1.2× 208 1.0× 151 1.2× 72 1.1× 43 1.0× 21 362
Gena G. Lawrence 332 1.5× 207 1.0× 93 0.7× 53 0.8× 124 3.0× 18 445
André G. Costa-Martins 234 1.0× 167 0.8× 113 0.9× 72 1.1× 37 0.9× 29 350
Antônia Cláudia Jácome da Câmara 354 1.6× 291 1.4× 121 0.9× 110 1.7× 23 0.5× 33 438
I. A. Frame 251 1.1× 242 1.1× 107 0.8× 84 1.3× 21 0.5× 18 371
Fábio Mitsuo Lima 301 1.3× 179 0.8× 74 0.6× 62 1.0× 44 1.0× 25 437
Olivia Rodríguez-Morales 322 1.4× 245 1.2× 68 0.5× 127 2.0× 33 0.8× 22 407
J.P. Kabayo 195 0.9× 135 0.6× 182 1.4× 36 0.6× 32 0.8× 18 357
Walter Souza Santos 291 1.3× 231 1.1× 194 1.5× 78 1.2× 33 0.8× 16 403
Alba Abràs 260 1.2× 239 1.1× 64 0.5× 68 1.1× 21 0.5× 24 334

Countries citing papers authored by Mario Ortiz

Since Specialization
Citations

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

Fields of papers citing papers by Mario Ortiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Ortiz

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

All Works

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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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