John Mario González

1.6k total citations
82 papers, 1.3k citations indexed

About

John Mario González is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, John Mario González has authored 82 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Epidemiology, 36 papers in Public Health, Environmental and Occupational Health and 23 papers in Immunology. Recurrent topics in John Mario González's work include Trypanosoma species research and implications (37 papers), Research on Leishmaniasis Studies (30 papers) and Immune Cell Function and Interaction (13 papers). John Mario González is often cited by papers focused on Trypanosoma species research and implications (37 papers), Research on Leishmaniasis Studies (30 papers) and Immune Cell Function and Interaction (13 papers). John Mario González collaborates with scholars based in Colombia, Spain and United States. John Mario González's co-authors include Concepción J. Puerta, Adriana Cuéllar, Myriam Arévalo‐Herrera, Paola Lasso, Sócrates Herrera, Fernando Rosas, Manuel Carlos López, M. Carmen Thomas, J. Alejandro López and Susana Fiorentino and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Biophysical Journal.

In The Last Decade

John Mario González

79 papers receiving 1.3k citations

Peers

John Mario González
Maria F. Lima United States
John Mario González
Citations per year, relative to John Mario González John Mario González (= 1×) peers Maria F. Lima

Countries citing papers authored by John Mario González

Since Specialization
Citations

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

Fields of papers citing papers by John Mario González

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Mario González. 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 John Mario González. The network helps show where John Mario González may publish in the future.

Co-authorship network of co-authors of John Mario González

This figure shows the co-authorship network connecting the top 25 collaborators of John Mario González. A scholar is included among the top collaborators of John Mario González 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 John Mario González. John Mario González 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.
González, John Mario, et al.. (2023). Outcomes of patients in Chagas disease of the central nervous system: a systematic review. Parasitology. 151(1). 15–23. 9 indexed citations
2.
González, John Mario, et al.. (2023). Extensible membrane nanotubules mediate attachment of Trypanosoma cruzi epimastigotes under flow. PLoS ONE. 18(3). e0283182–e0283182. 1 indexed citations
3.
González, John Mario, et al.. (2020). Seroprevalence of Antitransglutaminase and Antiendomysium Antibodies in Adult Colombian Blood Bank Donors. Canadian Journal of Gastroenterology and Hepatology. 2020. 1–6. 7 indexed citations
4.
Madrid‐Wolff, Jorge, et al.. (2019). Xenotransplantation of Human glioblastoma in Zebrafish larvae: in vivo imaging and proliferation assessment. Biology Open. 8(5). 21 indexed citations
5.
Cuéllar, Adriana, et al.. (2019). Intermediate Monocytes and Cytokine Production Associated With Severe Forms of Chagas Disease. Frontiers in Immunology. 10. 1671–1671. 27 indexed citations
6.
Thomas, M. Carmen, Concepción J. Puerta, John Mario González, et al.. (2018). Impact of benznidazole treatment on the functional response of Trypanosoma cruzi antigen-specific CD4+CD8+ T cells in chronic Chagas disease patients. PLoS neglected tropical diseases. 12(5). e0006480–e0006480. 21 indexed citations
7.
Akle, Verónica, et al.. (2017). Establishment of Larval Zebrafish as an Animal Model to Investigate <em>Trypanosoma cruzi</em> Motility <em>In Vivo</em>. Journal of Visualized Experiments. 8 indexed citations
8.
Mateus, José, Paola Lasso, Bartolomé Carrilero, et al.. (2017). Antiparasitic Treatment Induces an Improved CD8+ T Cell Response in Chronic Chagasic Patients. The Journal of Immunology. 198(8). 3170–3180. 30 indexed citations
9.
Vargas-Zambrano, Juan C., et al.. (2017). Infective capacity of Cryptococcus neoformans and Cryptococcus gattii in a human astrocytoma cell line. Mycoses. 60(7). 447–453. 12 indexed citations
10.
González, John Mario, et al.. (2016). Delivery route determines the presence of immune complexes on umbilical cord erythrocytes. The Journal of Maternal-Fetal & Neonatal Medicine. 30(22). 2647–2652. 1 indexed citations
11.
Lasso, Paola, Fanny Guzmán, Fernando Rosas, et al.. (2016). Promiscuous Recognition of a Trypanosoma cruzi CD8+ T Cell Epitope among HLA-A2, HLA-A24 and HLA-A1 Supertypes in Chagasic Patients. PLoS ONE. 11(3). e0150996–e0150996. 8 indexed citations
12.
Cardona‐Arias, Jaiberth Antonio, et al.. (2014). Construcción y evaluación de una escala sobre conocimientos en primeros auxilios en estudiantes de educación media Medellín-Bello. Dialnet (Universidad de la Rioja). 28(1). 35–48. 2 indexed citations
13.
Trier, Steven M., Adriana Bernal, Cornelia Herrfurth, et al.. (2014). S. Aureus Adapt to Growth Conditions by Changing Membrane Order. Biophysical Journal. 106(2). 580a–580a. 4 indexed citations
14.
Lasso, Paola, Adriana Cuéllar, Fanny Guzmán, et al.. (2012). Chagasic patients are able to respond against a viral antigen from influenza virus. BMC Infectious Diseases. 12(1). 198–198. 8 indexed citations
15.
Cuéllar, Adriana, Zulma M. Cucunubá, Fernando Rosas, et al.. (2009). Characterising the KMP-11 and HSP-70 recombinant antigens' humoral immune response profile in chagasic patients. BMC Infectious Diseases. 9(1). 186–186. 22 indexed citations
16.
Guzmán, Fanny, Martha P. Alba, Adriana Cuéllar, et al.. (2007). Immunological and structural characterization of an epitope from the Trypanosoma cruzi KMP-11 protein. Peptides. 28(8). 1520–1526. 13 indexed citations
17.
Malone, Karen E., et al.. (2006). Glia Expression of MHC During CNS Infection by Neurotropic Coronavirus. Advances in experimental medicine and biology. 581. 543–546. 3 indexed citations
18.
González, John Mario, Cornelia C. Bergmann, Babette Fuss, et al.. (2005). Expression of a dominant negative IFN‐γreceptor on mouse oligodendrocytes. Glia. 51(1). 22–34. 20 indexed citations
19.
Arévalo‐Herrera, Myriam, Mario A. Roggero, John Mario González, et al.. (1998). Mapping and comparison of the B-cell epitopes recognized on the Plasmodium vivax circumsporozoite protein by immune Colombians and immunized Aotus monkeys. Annals of Tropical Medicine and Parasitology. 92(5). 539–551. 40 indexed citations
20.
López, J. Alejandro, John Mario González, Gérard Eberl, et al.. (1996). Immunogenicity of synthetic peptides corresponding to the non-repeat regions of the Plasmodium falciparum circumsporozoite protein.. IRIS. 5 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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