Juan Carlos Dib

1.3k total citations
19 papers, 216 citations indexed

About

Juan Carlos Dib is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Insect Science. According to data from OpenAlex, Juan Carlos Dib has authored 19 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 6 papers in Public Health, Environmental and Occupational Health and 5 papers in Insect Science. Recurrent topics in Juan Carlos Dib's work include Trypanosoma species research and implications (11 papers), Research on Leishmaniasis Studies (6 papers) and Insect symbiosis and bacterial influences (4 papers). Juan Carlos Dib is often cited by papers focused on Trypanosoma species research and implications (11 papers), Research on Leishmaniasis Studies (6 papers) and Insect symbiosis and bacterial influences (4 papers). Juan Carlos Dib collaborates with scholars based in Colombia, Germany and United States. Juan Carlos Dib's co-authors include Omar Triana‐Chávez, Simone Kann, Ana María Mejía‐Jaramillo, Michael P. Dubé, Aldo Solari, Sylvia Ortiz, Michael G. Rinaldi, Colette Kelly, Jan E. Patterson and Jaime Altcheh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Virology and Journal of Clinical Microbiology.

In The Last Decade

Juan Carlos Dib

19 papers receiving 211 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 Carlos Dib Colombia 9 135 84 62 55 28 19 216
Veruska Maia da Costa Brazil 10 173 1.3× 141 1.7× 91 1.5× 35 0.6× 68 2.4× 20 254
Zaira Moure Spain 9 144 1.1× 122 1.5× 39 0.6× 59 1.1× 41 1.5× 24 223
Daniel Lozano Bolivia 8 130 1.0× 95 1.1× 22 0.4× 73 1.3× 39 1.4× 18 214
Ricardo Bozo United States 7 229 1.7× 139 1.7× 62 1.0× 28 0.5× 64 2.3× 8 288
Ana Lúcia Lyrio de Oliveira Brazil 12 114 0.8× 249 3.0× 127 2.0× 32 0.6× 10 0.4× 21 334
Leonardo Maia Leony Brazil 10 199 1.5× 187 2.2× 61 1.0× 26 0.5× 81 2.9× 21 270
Érica Tatto Brazil 5 240 1.8× 189 2.3× 78 1.3× 19 0.3× 73 2.6× 6 300
Juan Marqués Venezuela 5 253 1.9× 183 2.2× 69 1.1× 18 0.3× 42 1.5× 19 297
Charles A. Narh Ghana 10 73 0.5× 105 1.3× 66 1.1× 158 2.9× 13 0.5× 18 298
N. J. Taranto Argentina 12 293 2.2× 347 4.1× 154 2.5× 49 0.9× 37 1.3× 18 471

Countries citing papers authored by Juan Carlos Dib

Since Specialization
Citations

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

Fields of papers citing papers by Juan Carlos Dib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Carlos Dib

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

All Works

19 of 19 papers shown
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Kann, Simone, Kirsten Alexandra Eberhardt, Rebecca Hinz, et al.. (2023). The Gut Microbiome of an Indigenous Agropastoralist Population in a Remote Area of Colombia with High Rates of Gastrointestinal Infections and Dysbiosis. Microorganisms. 11(3). 625–625. 5 indexed citations
3.
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Kann, Simone, et al.. (2022). Diagnosis and Prevalence of Chagas Disease in an Indigenous Population of Colombia. Microorganisms. 10(7). 1427–1427. 5 indexed citations
5.
Ramírez, Teresa González, et al.. (2022). 2128. Lack of Congenital Transmission in Infants Born of Female Patients with Chagas Disease who Became Pregnant During a Nifurtimox Study (CHICO and CHICO SECURE Study). Open Forum Infectious Diseases. 9(Supplement_2). 1 indexed citations
6.
Kann, Simone, Maria Hartmann, Juan Carlos Dib, et al.. (2022). Seasonal Patterns of Enteric Pathogens in Colombian Indigenous People—A More Pronounced Effect on Bacteria Than on Parasites. Pathogens. 11(2). 214–214. 8 indexed citations
7.
Waindok, Patrick, et al.. (2021). Toxocara Seroprevalence and Risk Factor Analysis in Four Communities of the Wiwa, an Indigenous Tribe in Colombia. Microorganisms. 9(8). 1768–1768. 6 indexed citations
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Frickmann, Hagen, et al.. (2021). Seasonal Differences in Cyclospora cayetanensis Prevalence in Colombian Indigenous People. Microorganisms. 9(3). 627–627. 14 indexed citations
10.
Altan, Eda, Juan Carlos Dib, Xutao Deng, et al.. (2019). Effect of Geographic Isolation on the Nasal Virome of Indigenous Children. Journal of Virology. 93(17). 11 indexed citations
11.
Cucunubá, Zulma M., Pierre Nouvellet, Lesong Conteh, et al.. (2017). Modelling historical changes in the force-of-infection of Chagas disease to inform control and elimination programmes: application in Colombia. BMJ Global Health. 2(3). e000345–e000345. 27 indexed citations
12.
Olmo, Esther del, Julio López‐Abán, Cristina Fonseca‐Berzal, et al.. (2015). Trypanocidal Activity of Long Chain Diamines and Aminoalcohols. Molecules. 20(6). 11554–11568. 5 indexed citations
13.
Mejía‐Jaramillo, Ana María, et al.. (2014). Genotyping of Trypanosoma cruzi in a hyper-endemic area of Colombia reveals an overlap among domestic and sylvatic cycles of Chagas disease. Parasites & Vectors. 7(1). 108–108. 31 indexed citations
14.
Bejarano, Eduar Elías, et al.. (2014). New Records of Phlebotomine Sandflies (Diptera: Psychodidae) at Sierra Nevada de Santa Marta, Colombia. Acta Biológica Colombiana. 20(1). 221–224. 5 indexed citations
15.
Rodríguez‐Morales, Alfonso J., et al.. (2013). P244 Potential impacts of climate change and variability on cutaneous leishmaniasis epidemiology in Risaralda and Magdalena, Colombia, 1985–2002. International Journal of Antimicrobial Agents. 42. S119–S119. 1 indexed citations
16.
Dib, Juan Carlos, Christian Barnabé, Michel Tibayrenc, & Omar Triana‐Chávez. (2009). Incrimination of Eratyrus cuspidatus (Stal) in the transmission of Chagas’ disease by molecular epidemiology analysis of Trypanosoma cruzi isolates from a geographically restricted area in the north of Colombia. Acta Tropica. 111(3). 237–242. 14 indexed citations
17.
Rojas, Winston, et al.. (2007). Análisis de polimorfismos en los genes tripanotión reductasa y cruzipaína en cepas colombianas de Trypanosoma cruzi. Biomédica. 27(1esp). 50–50. 6 indexed citations
18.
Dib, Juan Carlos, et al.. (2006). Prevalencia de patologías tropicales y factores de riesgo en la comunidad indígena de Bunkwimake, Sierra Nevada de Santa Marta.. SHILAP Revista de lepidopterología. 7 indexed citations
19.
Dib, Juan Carlos, Michael P. Dubé, Colette Kelly, Michael G. Rinaldi, & Jan E. Patterson. (1996). Evaluation of pulsed-field gel electrophoresis as a typing system for Candida rugosa: comparison of karyotype and restriction fragment length polymorphisms. Journal of Clinical Microbiology. 34(6). 1494–1496. 23 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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