Juan G. McEwen

4.8k total citations
109 papers, 3.4k citations indexed

About

Juan G. McEwen is a scholar working on Epidemiology, Infectious Diseases and Cell Biology. According to data from OpenAlex, Juan G. McEwen has authored 109 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Epidemiology, 46 papers in Infectious Diseases and 41 papers in Cell Biology. Recurrent topics in Juan G. McEwen's work include Fungal Infections and Studies (79 papers), Antifungal resistance and susceptibility (44 papers) and Plant Pathogens and Fungal Diseases (41 papers). Juan G. McEwen is often cited by papers focused on Fungal Infections and Studies (79 papers), Antifungal resistance and susceptibility (44 papers) and Plant Pathogens and Fungal Diseases (41 papers). Juan G. McEwen collaborates with scholars based in Colombia, United States and Brazil. Juan G. McEwen's co-authors include Ángela Restrepo, Elizabeth Castañeda, Daniel R. Matute, John W. Taylor, Orville Hernández, Ana Maria Garcı́a, Elmer Brummer, María Elena Salazar, Marcus de Melo Teixeira and Eduardo Bagagli and has published in prestigious journals such as SHILAP Revista de lepidopterología, The EMBO Journal and PLoS ONE.

In The Last Decade

Juan G. McEwen

108 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan G. McEwen Colombia 31 2.8k 1.7k 1.1k 869 780 109 3.4k
Ángela Restrepo Colombia 35 3.3k 1.2× 2.5k 1.4× 867 0.8× 685 0.8× 579 0.7× 113 4.0k
Kyung J. Kwon‐Chung United States 45 4.5k 1.7× 3.5k 2.0× 1.3k 1.2× 1.3k 1.5× 1.6k 2.1× 101 5.7k
Marta Feldmesser United States 33 2.8k 1.0× 2.7k 1.6× 425 0.4× 699 0.8× 682 0.9× 47 4.0k
Marcus de Melo Teixeira Brazil 25 2.0k 0.7× 1.2k 0.7× 994 0.9× 441 0.5× 645 0.8× 81 2.4k
Kirsten Nielsen United States 41 3.7k 1.3× 3.0k 1.8× 762 0.7× 1.2k 1.4× 1.5k 2.0× 79 5.1k
Beatriz L. Gómez Colombia 27 1.7k 0.6× 1.5k 0.9× 601 0.5× 365 0.4× 353 0.5× 86 2.3k
Allan J. Guimarães Brazil 29 1.4k 0.5× 1.2k 0.7× 263 0.2× 894 1.0× 337 0.4× 73 2.3k
Marcel Wüthrich United States 33 1.8k 0.7× 1.7k 1.0× 226 0.2× 591 0.7× 435 0.6× 75 3.0k
Débora L. Oliveira Brazil 19 1.4k 0.5× 949 0.5× 184 0.2× 1.1k 1.2× 428 0.5× 22 2.2k
Raquel Cordeiro Theodoro Brazil 19 1.2k 0.4× 766 0.4× 600 0.5× 336 0.4× 283 0.4× 49 1.5k

Countries citing papers authored by Juan G. McEwen

Since Specialization
Citations

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

Fields of papers citing papers by Juan G. McEwen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan G. McEwen. 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 Juan G. McEwen. The network helps show where Juan G. McEwen may publish in the future.

Co-authorship network of co-authors of Juan G. McEwen

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

All Works

20 of 20 papers shown
1.
Zuleta, M. Carolina, Elizabeth Misas, Juan G. McEwen, et al.. (2025). Species Identification and Orthologous Allergen Prediction and Expression in the Genus Aspergillus. Journal of Fungi. 11(2). 98–98.
2.
McEwen, Juan G., et al.. (2023). Genome sequencing using long-read sequencing. Revista de la Academia Colombiana de Ciencias Exactas Físicas y Naturales. 47(183). 439–444. 1 indexed citations
3.
McEwen, Juan G., et al.. (2022). Prevalence of Chlamydia trachomatis and Neisseria gonorrhoeae in the homeless population of Medellín, Colombia: a cross-sectional study. BMJ Open. 12(3). e054966–e054966. 2 indexed citations
4.
Gade, Lalitha, et al.. (2022). Comparison between Two Molecular Techniques: Nested and Real-Time Polymerase Chain Reaction Targeting 100-kDa Hc Protein for Detection of Histoplasma capsulatum in Environmental Samples. American Journal of Tropical Medicine and Hygiene. 106(5). 1329–1332. 4 indexed citations
5.
Gallo, Juan E., et al.. (2022). Perfiles de expresión de los genes ERG11, MDR1 y AFR1 en Cryptococcus neoformans var. grubii aislados de pacientes con VIH. Biomédica. 42(4). 697–706. 2 indexed citations
6.
Teixeira, Marcus de Melo, et al.. (2020). Paracoccidioides Genomes Reflect High Levels of Species Divergence and Little Interspecific Gene Flow. mBio. 11(6). 20 indexed citations
7.
Muñoz, José F., Juan G. McEwen, Oliver Clay, & Christina A. Cuomo. (2018). Genome analysis reveals evolutionary mechanisms of adaptation in systemic dimorphic fungi. Scientific Reports. 8(1). 4473–4473. 27 indexed citations
8.
9.
Dukik, Karolina, José F. Muñoz, Yanping Jiang, et al.. (2017). Novel taxa of thermally dimorphic systemic pathogens in the Ajellomycetaceae (Onygenales). Mycoses. 60(5). 296–309. 99 indexed citations
10.
Muñoz, José F., Rhys A. Farrer, Christopher A. Desjardins, et al.. (2016). Genome Diversity, Recombination, and Virulence across the Major Lineages of Paracoccidioides. mSphere. 1(5). 79 indexed citations
11.
Silva, Lívia do Carmo, Juliana Alves Parente-Rocha, Alexandre Melo Bailão, et al.. (2016). Effects of Argentilactone on the Transcriptional Profile, Cell Wall and Oxidative Stress of Paracoccidioides spp.. PLoS neglected tropical diseases. 10(1). e0004309–e0004309. 18 indexed citations
12.
Marcos, Caroline Maria, Julhiany de Fátima da Silva, Haroldo César de Oliveira, et al.. (2015). Decreased expression of 14-3-3 inParacoccidioides brasiliensisconfirms its involvement in fungal pathogenesis. Virulence. 7(2). 72–84. 25 indexed citations
13.
Garcı́a, Ana Maria, Orville Hernández, Ángel González, et al.. (2009). Presence and expression of the mating type locus in Paracoccidioides brasiliensis isolates. Fungal Genetics and Biology. 47(4). 373–380. 24 indexed citations
14.
Garcı́a, Ana Maria, et al.. (2009). Identificación de algunos genes asociados al proceso de germinación de la conidia al micelio en Paracoccidioides brasiliensis. Biomédica. 29(3). 403–403. 7 indexed citations
15.
Ríos, Juan Carlos, et al.. (2008). Role of four polymorphisms of the β-2 adrenergic receptor gen in patients with preterm delivery.. Colombia medica. 39(1). 7–15. 1 indexed citations
16.
García, Edwin, et al.. (2006). Bases genéticas de la hipertensión arterial esencial en Colombia: avances en nueve años de estudio. Revista Colombiana de Cardiología. 12(6). 409–430. 6 indexed citations
17.
Matute, Daniel R., Juan G. McEwen, Rosana Puccia, et al.. (2005). Cryptic Speciation and Recombination in the Fungus Paracoccidioides brasiliensis as Revealed by Gene Genealogies. Molecular Biology and Evolution. 23(1). 65–73. 254 indexed citations
18.
Restrepo, Ángela, et al.. (2003). Nuevos aspectos sobre la clasificación de los hongos y su posible aplicación médica.. Biomédica. 23(2). 213–213. 2 indexed citations
19.
Kasuga, Takao, Thomas J. White, Gina L. Koenig, et al.. (2003). Phylogeography of the fungal pathogenHistoplasma capsulatum. Molecular Ecology. 12(12). 3383–3401. 255 indexed citations
20.
McEwen, Juan G., et al.. (1996). Molecular Cloning, Nucleotide Sequencing, and Characterization of a 27-kDa Antigenic Protein fromParacoccidioides brasiliensis. Fungal Genetics and Biology. 20(2). 125–131. 29 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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