Sylvia Ortiz

1.0k total citations
42 papers, 861 citations indexed

About

Sylvia Ortiz is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Insect Science. According to data from OpenAlex, Sylvia Ortiz has authored 42 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Epidemiology, 19 papers in Public Health, Environmental and Occupational Health and 18 papers in Insect Science. Recurrent topics in Sylvia Ortiz's work include Trypanosoma species research and implications (36 papers), Research on Leishmaniasis Studies (18 papers) and Insect symbiosis and bacterial influences (13 papers). Sylvia Ortiz is often cited by papers focused on Trypanosoma species research and implications (36 papers), Research on Leishmaniasis Studies (18 papers) and Insect symbiosis and bacterial influences (13 papers). Sylvia Ortiz collaborates with scholars based in Chile, Colombia and Argentina. Sylvia Ortiz's co-authors include Aldo Solari, Carezza Botto‐Mahan, Aldo Solari, Pedro E. Cattan, Ximena Coronado, R Campos, Antonio Castillo, Miguel E. Castro, Omar Triana‐Chávez and Inés Zulantay and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Sylvia Ortiz

42 papers receiving 846 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvia Ortiz Chile 20 664 436 306 185 130 42 861
F. Guerrini France 11 418 0.6× 400 0.9× 136 0.4× 124 0.7× 97 0.7× 12 621
Flávia Maia da Silva Brazil 10 481 0.7× 330 0.8× 223 0.7× 200 1.1× 43 0.3× 12 599
Débora do Rocio Klisiowicz Brazil 10 278 0.4× 106 0.2× 217 0.7× 114 0.6× 80 0.6× 25 493
M.M.G. Teixeira Brazil 14 672 1.0× 396 0.9× 224 0.7× 285 1.5× 32 0.2× 18 841
M. Pagès France 11 206 0.3× 179 0.4× 42 0.1× 144 0.8× 91 0.7× 15 507
Robert A. Wirtz United States 14 208 0.3× 461 1.1× 270 0.9× 144 0.8× 180 1.4× 25 790
H. Carrasco Venezuela 20 1.6k 2.5× 1.2k 2.8× 834 2.7× 339 1.8× 95 0.7× 49 1.8k
J. Rodrigues Coura Brazil 18 750 1.1× 536 1.2× 300 1.0× 293 1.6× 51 0.4× 30 934
Mustafa El Fari Germany 10 654 1.0× 714 1.6× 86 0.3× 154 0.8× 123 0.9× 10 984
Danyil Grybchuk Czechia 11 253 0.4× 223 0.5× 145 0.5× 62 0.3× 104 0.8× 20 454

Countries citing papers authored by Sylvia Ortiz

Since Specialization
Citations

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

Fields of papers citing papers by Sylvia Ortiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvia Ortiz

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvia Ortiz. A scholar is included among the top collaborators of Sylvia 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 Sylvia Ortiz. Sylvia Ortiz 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
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Ortiz, Sylvia, et al.. (2021). Trypanosoma cruzi infection follow-up in a sylvatic vector of Chagas disease: Comparing early and late stage nymphs. PLoS neglected tropical diseases. 15(9). e0009729–e0009729. 6 indexed citations
3.
Rojo‐Martínez, Gemma, Antonella Bacigalupo, Vanessa García-Larsen, et al.. (2020). Organs infected with Trypanosoma cruzi and DTU identification in the naturally infected rodent Octodon degus. Experimental Parasitology. 215. 107931–107931. 4 indexed citations
4.
Rojo‐Martínez, Gemma, Sylvia Ortiz, Juana P. Correa, et al.. (2017). Within-host temporal fluctuations of Trypanosoma cruzi discrete typing units: the case of the wild reservoir rodent Octodon degus. Parasites & Vectors. 10(1). 380–380. 20 indexed citations
5.
Campos, R, et al.. (2016). Interactions Between Trypanosoma cruzi the Chagas Disease Parasite and Naturally Infected Wild Mepraia Vectors of Chile. Vector-Borne and Zoonotic Diseases. 16(3). 165–171. 20 indexed citations
6.
Ortiz, Sylvia, et al.. (2016). Simple methodology to directly genotype Trypanosoma cruzi discrete typing units in single and mixed infections from human blood samples. Infection Genetics and Evolution. 43. 123–129. 14 indexed citations
7.
Apt, Werner, A Arribada, Inés Zulantay, et al.. (2015). Trypanosoma cruzi burden, genotypes, and clinical evaluation of Chilean patients with chronic Chagas cardiopathy. Parasitology Research. 114(8). 3007–3018. 20 indexed citations
8.
Botto‐Mahan, Carezza, et al.. (2015). Temporal variation in Trypanosoma cruzi lineages from the native rodent Octodon degus in semiarid Chile. Acta Tropica. 151. 178–181. 10 indexed citations
9.
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
10.
Ortiz, Sylvia, et al.. (2014). Transferability of Trypanosoma cruzi from mixed human host infection to Triatoma infestans and from insects to axenic culture. Parasitology International. 64(1). 33–36. 13 indexed citations
11.
Campos, R, et al.. (2014). Trypanosoma cruzi Infection in Mepraia gajardoi and Mepraia spinolai: The Effect of Feeding Nymphs from the Field. American Journal of Tropical Medicine and Hygiene. 91(3). 534–536. 14 indexed citations
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Campos, R, Carezza Botto‐Mahan, Sylvia Ortiz, Ximena Coronado, & Aldo Solari. (2010). Temporal Fluctuation of Infection with Different Trypanosoma cruzi Genotypes in the Wild Rodent Octodon degus. American Journal of Tropical Medicine and Hygiene. 83(2). 380–381. 11 indexed citations
15.
Botero, Adriana, Ana María Mejía‐Jaramillo, Edna J. Márquez, et al.. (2009). Transmission dynamics of Trypanosoma cruzi determined by low-stringency single primer polymerase chain reaction and southern blot analyses in four indigenous communities of the Sierra Nevada de Santa Marta, Colombia.. PubMed. 81(3). 396–403. 19 indexed citations
16.
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Triana‐Chávez, Omar, Sylvia Ortiz, Jean‐Claude Dujardin, & Aldo Solari. (2006). Trypanosoma cruzi: Variability of stocks from Colombia determined by molecular karyotype and minicircle Southern blot analysis. Experimental Parasitology. 113(1). 62–66. 34 indexed citations
18.
Coronado, Ximena, et al.. (2005). Instability of Trypanosoma Cruzi DNA in Blood Lysates. Molecular Diagnosis. 9(1). 35–40. 5 indexed citations
19.
Zulantay, Inés, Aldo Solari, Werner Apt, et al.. (2004). Use of polymerase chain reaction (PCR) and hybridization assays to detect trypanosoma cruzi in chronic chagasic patients treated with itraconazole or allopurinol. Diagnostic Microbiology and Infectious Disease. 48(4). 253–257. 40 indexed citations
20.
Castro, Miguel E., et al.. (2003). A double-stranded RNA mycovirus confers hypovirulence-associated traits toBotrytis cinerea. FEMS Microbiology Letters. 228(1). 87–91. 83 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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