Verónica García

6.4k total citations · 1 hit paper
70 papers, 2.9k citations indexed

About

Verónica García is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Verónica García has authored 70 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Immunology, 30 papers in Infectious Diseases and 28 papers in Epidemiology. Recurrent topics in Verónica García's work include Tuberculosis Research and Epidemiology (29 papers), Mycobacterium research and diagnosis (17 papers) and Immune Cell Function and Interaction (15 papers). Verónica García is often cited by papers focused on Tuberculosis Research and Epidemiology (29 papers), Mycobacterium research and diagnosis (17 papers) and Immune Cell Function and Interaction (15 papers). Verónica García collaborates with scholars based in Argentina, United States and France. Verónica García's co-authors include Virginia Pasquinelli, Rosa Musella, Javier O. Jurado, Ivana B. Alvarez, Joseph J. Catanese, Monica Chang, Eduardo Abbate, Steven J. Schrodi, Robert L. Modlin and Koichi Uyemura and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Verónica García

68 papers receiving 2.8k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Large-Scale Genetic Association Study Confirms IL12B and Leads to the Identification of IL23R as Psoriasis-Risk Genes

2007 833 citations Michele Cargill, Steven J. Schrodi et al. The American Journal of Human Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Verónica García Argentina	25	1.9k	732	707	402	370	70	2.9k
Fang Shen United States	15	2.4k 1.3×	1.0k 1.4×	923 1.3×	547 1.4×	432 1.2×	20	3.6k
Guido Sireci Italy	35	2.5k 1.4×	504 0.7×	584 0.8×	408 1.0×	614 1.7×	102	3.7k
Weitao Huang United States	13	2.0k 1.1×	404 0.6×	492 0.7×	286 0.7×	318 0.9×	16	2.7k
Ikuya Tsuge Japan	24	1.6k 0.8×	389 0.5×	458 0.6×	290 0.7×	760 2.1×	87	3.0k
Suzanne T. Kanaly United States	14	1.5k 0.8×	450 0.6×	509 0.7×	449 1.1×	246 0.7×	16	2.5k
Yoshinobu Koguchi United States	31	1.7k 0.9×	490 0.7×	729 1.0×	401 1.0×	752 2.0×	67	2.8k
Nathalie Schmitt United States	25	3.3k 1.8×	356 0.5×	590 0.8×	469 1.2×	467 1.3×	42	4.1k
Priscilla Biswas Italy	26	1.6k 0.9×	487 0.7×	467 0.7×	303 0.8×	330 0.9×	69	2.9k
Partha S. Biswas United States	29	1.3k 0.7×	363 0.5×	685 1.0×	696 1.7×	296 0.8×	68	2.6k
Gülbû Uzel United States	41	3.3k 1.8×	686 0.9×	1.1k 1.5×	756 1.9×	579 1.6×	99	5.2k

Countries citing papers authored by Verónica García

Since Specialization

Citations

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

Fields of papers citing papers by Verónica García

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Verónica García

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

All Works

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20 of 20 papers shown

Morelli, María Paula, Joaquín Miguel Pellegrini, Federico Carlos Blanco, et al.. (2025). Neutrophils from tuberculosis patients are polarized toward pro-inflammatory and anti-inflammatory phenotypes according to the disease severity. The Journal of Immunology. 214(6). 1173–1186. 1 indexed citations

Martínez, Melina, et al.. (2024). Antimicrobial Effect of Cannabidiol on Intracellular Mycobacterium tuberculosis. Cannabis and Cannabinoid Research. 9(2). 464–469. 5 indexed citations

Tateosian, Nancy Liliana, María Paula Morelli, Joaquín Miguel Pellegrini, & Verónica García. (2023). Beyond the Clinic: The Activation of Diverse Cellular and Humoral Factors Shapes the Immunological Status of Patients with Active Tuberculosis. International Journal of Molecular Sciences. 24(5). 5033–5033.

García, Verónica, et al.. (2023). The Thoracic Inlet Length as a Reference Point to Radiographically Assess Cardiac Enlargement in Dogs with Myxomatous Mitral Valve Disease. Animals. 13(16). 2666–2666. 2 indexed citations

Anguita, Eduardo, Diego Rodríguez-Muñoz, Verónica García, et al.. (2022). Free triiodothyronine levels and age influences the metabolic profile and COVID-19 severity parameters in euthyroid and levothyroxine-treated patients. Frontiers in Endocrinology. 13. 1025032–1025032. 2 indexed citations

García, Verónica, et al.. (2021). Circadian clock core component Bmal1 dictates cell cycle rhythm of proliferating hepatocytes during liver regeneration. American Journal of Physiology-Gastrointestinal and Liver Physiology. 321(4). G389–G399. 6 indexed citations

Pellegrini, Joaquín Miguel, María Paula Morelli, Nancy Liliana Tateosian, et al.. (2021). Author Correction: PGE2 displays immunosuppressive effects during human active tuberculosis. Scientific Reports. 11(1). 18138–18138. 1 indexed citations

Pellegrini, Joaquín Miguel, Florencia Sabbione, María Paula Morelli, et al.. (2020). Neutrophil autophagy during human active tuberculosis is modulated by SLAMF1. Autophagy. 17(9). 2629–2638. 26 indexed citations

Rowland, Charles M., Dov Shiffman, Michael P. Caulfield, et al.. (2019). Association of cardiovascular events and lipoprotein particle size: Development of a risk score based on functional data analysis. PLoS ONE. 14(3). e0213172–e0213172. 5 indexed citations

10.

Pellegrini, Joaquín Miguel, Nancy Liliana Tateosian, Nicolás Oscar Amiano, et al.. (2017). The IL-17A rs2275913 single nucleotide polymorphism is associated with protection to tuberculosis but related to higher disease severity in Argentina. Scientific Reports. 7(1). 40666–40666. 38 indexed citations

11.

Pasquinelli, Virginia, Ivana B. Alvarez, Javier O. Jurado, et al.. (2012). Phosphorylation of Mitogen-Activated Protein Kinases Contributes to Interferon γ Production in Response to Mycobacterium tuberculosis. The Journal of Infectious Diseases. 207(2). 340–350. 28 indexed citations

12.

Pasquinelli, Virginia, James C. Townsend, Javier O. Jurado, et al.. (2009). IFN-γ Production during Active Tuberculosis Is Regulated by Mechanisms That Involve IL-17, SLAM, and CREB. The Journal of Infectious Diseases. 199(5). 661–665. 34 indexed citations

13.

Gómez, Sonia, Diego Guerrieri, Nancy Liliana Tateosian, et al.. (2008). Secretory Leukocyte Protease Inhibitor: A Secreted Pattern Recognition Receptor for Mycobacteria. American Journal of Respiratory and Critical Care Medicine. 179(3). 247–253. 31 indexed citations

14.

Jurado, Javier O., Ivana B. Alvarez, Virginia Pasquinelli, et al.. (2008). Programmed Death (PD)-1:PD-Ligand 1/PD-Ligand 2 Pathway Inhibits T Cell Effector Functions during Human Tuberculosis. The Journal of Immunology. 181(1). 116–125. 208 indexed citations

15.

Garg, Ankita, Peter F. Barnes, Sugata Roy, et al.. (2008). Mannose‐capped lipoarabinomannan‐ and prostaglandin E2‐dependent expansion of regulatory T cells in human Mycobacterium tuberculosis infection. European Journal of Immunology. 38(2). 459–469. 85 indexed citations

16.

Ibáñez, Elena, Yolanda Andreu, María José Galdón Garrido, Verónica García, & Estrella Durá Ferrandis. (2007). Participación en cribados mamográficos y creencias de salud: una perspectiva de proceso. SHILAP Revista de lepidopterología. 4 indexed citations

17.

Cargill, Michele, Steven J. Schrodi, Monica Chang, et al.. (2007). A Large-Scale Genetic Association Study Confirms IL12B and Leads to the Identification of IL23R as Psoriasis-Risk Genes. The American Journal of Human Genetics. 80(2). 273–290. 833 indexed citations breakdown →

18.

Quiroga, María Florencia, Virginia Pasquinelli, Gustavo Martínez, et al.. (2006). Inducible Costimulator: A Modulator of IFN-γ Production in Human Tuberculosis. The Journal of Immunology. 176(10). 5965–5974. 30 indexed citations

19.

Pasquinelli, Virginia, María Florencia Quiroga, Gustavo Martínez, et al.. (2004). Expression of Signaling Lymphocytic Activation Molecule- Associated Protein Interrupts IFN-γ Production in Human Tuberculosis. The Journal of Immunology. 172(2). 1177–1185. 36 indexed citations

20.

García, Verónica, María Florencia Quiroga, María Teresa Ochoa, et al.. (2001). Signaling Lymphocytic Activation Molecule Expression and Regulation in Human Intracellular Infection Correlate with Th1 Cytokine Patterns. The Journal of Immunology. 167(10). 5719–5724. 21 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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