Marco Quevedo-Díaz

25 total papers · 477 total citations
17 papers, 376 citations indexed

About

Marco Quevedo-Díaz is a scholar working on Parasitology, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Marco Quevedo-Díaz has authored 17 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Parasitology, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Molecular Biology. Recurrent topics in Marco Quevedo-Díaz's work include Vector-borne infectious diseases (11 papers), Mosquito-borne diseases and control (4 papers) and Parasites and Host Interactions (3 papers). Marco Quevedo-Díaz is often cited by papers focused on Vector-borne infectious diseases (11 papers), Mosquito-borne diseases and control (4 papers) and Parasites and Host Interactions (3 papers). Marco Quevedo-Díaz collaborates with scholars based in Slovakia, United States and Czechia. Marco Quevedo-Díaz's co-authors include Andrei E. Medvedev, Chang Song, Haiyan Chen, Larry M. Wahl, Wenji Piao, Katherine A. Fitzgerald, Liwu Li, Kelly P. Williams, Wendy C. Brown and Abdu F. Azad and has published in prestigious journals such as Infection and Immunity, Journal of Leukocyte Biology and Microbes and Infection.

In The Last Decade

Marco Quevedo-Díaz

16 papers receiving 371 citations

Author Peers

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

Author Last Decade Papers Cites
Marco Quevedo-Díaz 155 146 89 65 51 17 376
Yihan Wang 145 0.9× 102 0.7× 150 1.7× 71 1.1× 50 1.0× 16 339
Bijaya Sharma 129 0.8× 66 0.5× 121 1.4× 108 1.7× 34 0.7× 16 388
Mengjiao Fu 77 0.5× 97 0.7× 159 1.8× 106 1.6× 56 1.1× 26 433
Robert M. Nims 192 1.2× 42 0.3× 112 1.3× 62 1.0× 23 0.5× 19 406
Lauren Lewis 181 1.2× 61 0.4× 73 0.8× 94 1.4× 24 0.5× 14 356
Zahra Omidian 109 0.7× 93 0.6× 62 0.7× 77 1.2× 48 0.9× 15 382
Swapna Samanta 280 1.8× 108 0.7× 209 2.3× 86 1.3× 83 1.6× 11 444
Kamoltip Promnares 209 1.3× 67 0.5× 165 1.9× 186 2.9× 55 1.1× 22 444
C. Larsen 214 1.4× 50 0.3× 170 1.9× 32 0.5× 67 1.3× 11 349
Peifa Yu 154 1.0× 74 0.5× 192 2.2× 52 0.8× 25 0.5× 22 363

Countries citing papers authored by Marco Quevedo-Díaz

Since Specialization
Citations

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

Fields of papers citing papers by Marco Quevedo-Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco Quevedo-Díaz. 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 Marco Quevedo-Díaz. The network helps show where Marco Quevedo-Díaz may publish in the future.

Co-authorship network of co-authors of Marco Quevedo-Díaz

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Quevedo-Díaz. A scholar is included among the top collaborators of Marco Quevedo-Díaz 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 Marco Quevedo-Díaz. Marco Quevedo-Díaz 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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