César Náquira

121 total papers · 3.0k total citations
86 papers, 2.1k citations indexed

About

César Náquira is a scholar working on Epidemiology, Insect Science and Parasitology. According to data from OpenAlex, César Náquira has authored 86 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Epidemiology, 22 papers in Insect Science and 20 papers in Parasitology. Recurrent topics in César Náquira's work include Trypanosoma species research and implications (40 papers), Insect symbiosis and bacterial influences (15 papers) and Helminth infection and control (12 papers). César Náquira is often cited by papers focused on Trypanosoma species research and implications (40 papers), Insect symbiosis and bacterial influences (15 papers) and Helminth infection and control (12 papers). César Náquira collaborates with scholars based in Peru, United States and Paraguay. César Náquira's co-authors include Robert H. Gilman, Michael Z. Levy, Ricardo Castillo-Neyra, M Lorca, Alberto Nieto, Donald P. McManus, Armando E. González, Philip S. Craig, Marshall W. Lightowlers and Héctor H. Garcı́a and has published in prestigious journals such as Nature, Science and SHILAP Revista de lepidopterología.

In The Last Decade

César Náquira

82 papers receiving 2.0k citations

Hit Papers

Prevention and control of... 2007 2026 2013 2019 2007 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
César Náquira 830 624 573 493 444 86 2.1k
Teresa Gárate 1.3k 1.6× 926 1.5× 278 0.5× 526 1.1× 292 0.7× 127 2.6k
Nancy Malla 1.2k 1.5× 439 0.7× 447 0.8× 407 0.8× 426 1.0× 130 2.3k
Abdolhossein Dalimi 1.5k 1.9× 562 0.9× 747 1.3× 415 0.8× 612 1.4× 220 2.9k
Adel Spotin 1.2k 1.4× 672 1.1× 305 0.5× 424 0.9× 290 0.7× 132 2.0k
Tanguy Marcotty 573 0.7× 247 0.4× 848 1.5× 176 0.4× 769 1.7× 106 2.1k
Mehdi Sharif 2.5k 3.0× 385 0.6× 934 1.6× 298 0.6× 333 0.8× 145 3.1k
Carlos Carmona 1.4k 1.7× 556 0.9× 207 0.4× 366 0.7× 117 0.3× 94 2.5k
Mohammad Taghi Rahimi 1.1k 1.4× 290 0.5× 511 0.9× 196 0.4× 240 0.5× 88 1.8k
R. C. A. Thompson 1.8k 2.2× 959 1.5× 195 0.3× 578 1.2× 226 0.5× 66 2.6k
A. Scala 1.3k 1.6× 1.1k 1.7× 130 0.2× 736 1.5× 112 0.3× 128 2.5k

Countries citing papers authored by César Náquira

Since Specialization
Citations

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

Fields of papers citing papers by César Náquira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of César Náquira

This figure shows the co-authorship network connecting the top 25 collaborators of César Náquira. A scholar is included among the top collaborators of César Náquira 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 César Náquira. César Náquira 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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