Adriana Cuéllar

854 total citations
49 papers, 611 citations indexed

About

Adriana Cuéllar is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Adriana Cuéllar has authored 49 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Epidemiology, 30 papers in Public Health, Environmental and Occupational Health and 15 papers in Immunology. Recurrent topics in Adriana Cuéllar's work include Trypanosoma species research and implications (36 papers), Research on Leishmaniasis Studies (30 papers) and Immune Cell Function and Interaction (11 papers). Adriana Cuéllar is often cited by papers focused on Trypanosoma species research and implications (36 papers), Research on Leishmaniasis Studies (30 papers) and Immune Cell Function and Interaction (11 papers). Adriana Cuéllar collaborates with scholars based in Colombia, Spain and Chile. Adriana Cuéllar's co-authors include Concepción J. Puerta, John Mario González, Paola Lasso, Fernando Rosas, M. Carmen Thomas, Manuel Carlos López, Paula Pavía, Fanny Guzmán, Juan C. Vargas-Zambrano and José Mateus and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Adriana Cuéllar

47 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adriana Cuéllar Colombia 15 452 339 150 96 73 49 611
Grace K. Silva Brazil 9 317 0.7× 240 0.7× 137 0.9× 66 0.7× 49 0.7× 9 466
Ana Thereza Chaves Brazil 15 482 1.1× 306 0.9× 139 0.9× 58 0.6× 124 1.7× 36 599
Jaline Coutinho Silvério Brazil 10 378 0.8× 290 0.9× 102 0.7× 41 0.4× 82 1.1× 12 448
Vladimir Michailowsky Brazil 11 510 1.1× 422 1.2× 127 0.8× 52 0.5× 110 1.5× 11 599
Rafaelle Fares‐Gusmao United States 14 331 0.7× 314 0.9× 116 0.8× 38 0.4× 77 1.1× 23 589
Rita L. Cardoni Argentina 16 625 1.4× 427 1.3× 149 1.0× 72 0.8× 85 1.2× 41 742
Luísa Mourão Dias Magalhães Brazil 13 375 0.8× 293 0.9× 109 0.7× 48 0.5× 59 0.8× 36 534
Juliana de Meis Brazil 18 486 1.1× 437 1.3× 257 1.7× 35 0.4× 29 0.4× 31 719
Silvia A. Longhi Argentina 14 285 0.6× 215 0.6× 44 0.3× 49 0.5× 44 0.6× 35 494
Maria C. Guimaro United States 7 259 0.6× 200 0.6× 38 0.3× 57 0.6× 52 0.7× 8 405

Countries citing papers authored by Adriana Cuéllar

Since Specialization
Citations

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

Fields of papers citing papers by Adriana Cuéllar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adriana Cuéllar

This figure shows the co-authorship network connecting the top 25 collaborators of Adriana Cuéllar. A scholar is included among the top collaborators of Adriana Cuéllar 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 Adriana Cuéllar. Adriana Cuéllar 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.
2.
Mateus, José, et al.. (2021). Preliminary chemical characterization of ethanolic extracts from Colombian plants with promising anti - Trypanosoma cruzi activity. Experimental Parasitology. 223. 108079–108079. 11 indexed citations
3.
4.
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
5.
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
6.
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
7.
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
8.
Finkelsztein, Eli J., Juan C. Diaz Soto, Juan C. Vargas-Zambrano, et al.. (2015). Altering the motility of Trypanosoma cruzi with rabbit polyclonal anti-peptide antibodies reduces infection to susceptible mammalian cells. Experimental Parasitology. 150. 36–43. 11 indexed citations
9.
10.
Giraldo, Nicolás A., Adriana Cuéllar, Zulma M. Cucunubá, et al.. (2013). T Lymphocytes from Chagasic Patients Are Activated but Lack Proliferative Capacity and Down-Regulate CD28 and CD3ζ. PLoS neglected tropical diseases. 7(1). e2038–e2038. 27 indexed citations
11.
Lasso, Paola, et al.. (2013). Diseño de un panel multicolor para evaluar moléculas intracelulares y de superficie mediante citometría de flujo. Biomédica. 33(4). 660–72. 11 indexed citations
12.
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
13.
García, Elizabeth, et al.. (2012). [Expression of IL-10, IL-4 and IFN-γ in active skin lesions of children with papular urticaria].. PubMed. 31(4). 525–31. 1 indexed citations
14.
Giraldo, Nicolás A., Adriana Cuéllar, Fanny Guzmán, et al.. (2011). Increased CD4+/CD8+ Double-Positive T Cells in Chronic Chagasic Patients. PLoS neglected tropical diseases. 5(8). e1294–e1294. 42 indexed citations
15.
Cuéllar, Adriana, et al.. (2010). Specific pattern of flea antigen recognition by IgG subclass and IgE during the progression of papular urticaria caused by flea bite. Allergologia et Immunopathologia. 38(4). 197–202. 9 indexed citations
16.
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
17.
Cuéllar, Adriana, et al.. (2009). Differential Th1/Th2 balance in peripheral blood lymphocytes from patients suffering from flea bite-induced papular urticaria. Allergologia et Immunopathologia. 37(1). 7–10. 5 indexed citations
18.
Cuéllar, Adriana, M. Carmen Thomas, Fernando Rosas, et al.. (2008). Natural CD4+ T‐cell responses against Trypanosoma cruzi KMP‐11 protein in chronic chagasic patients. Immunology and Cell Biology. 87(2). 149–153. 14 indexed citations
19.
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
20.
Cuéllar, Adriana, et al.. (2007). Functional Dysregulation of Dendritic Cells in Patients With Papular Urticaria Caused by Fleabite. Archives of Dermatology. 143(11). 1415–9. 7 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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