Verónica García

113 total papers · 6.3k total citations
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, Robert L. Modlin, Steven J. Schrodi and Craig T. Morita 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

A Large-Scale Genetic Ass... 2007 2026 2013 2019 2007 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Verónica García 1.9k 731 707 401 369 70 2.9k
Guido Sireci 2.5k 1.4× 505 0.7× 585 0.8× 407 1.0× 614 1.7× 102 3.7k
Ikuya Tsuge 1.6k 0.9× 389 0.5× 459 0.6× 289 0.7× 760 2.1× 87 3.0k
Gersende Caron 2.2k 1.2× 590 0.8× 709 1.0× 1.1k 2.6× 541 1.5× 70 4.3k
Leopoldo Flores‐Romo 3.0k 1.6× 470 0.6× 429 0.6× 660 1.6× 629 1.7× 96 4.3k
Priscilla Biswas 1.6k 0.9× 487 0.7× 467 0.7× 303 0.8× 330 0.9× 69 2.9k
Yoshinobu Koguchi 1.7k 0.9× 489 0.7× 725 1.0× 398 1.0× 748 2.0× 67 2.8k
Eva V. Acosta Rodríguez 3.5k 1.9× 356 0.5× 855 1.2× 585 1.5× 761 2.1× 53 4.7k
M Bofill 2.1k 1.1× 370 0.5× 625 0.9× 376 0.9× 406 1.1× 46 3.7k
T. C. Merigan 1.2k 0.7× 1.0k 1.4× 1.1k 1.6× 472 1.2× 508 1.4× 89 3.7k
Laura Rivino 1.8k 0.9× 768 1.1× 650 0.9× 261 0.7× 281 0.8× 34 2.9k

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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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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