Verónica García
- Immunology top 1%
- Infectious Diseases top 2%
- Epidemiology top 5%
- Molecular Biology
- Oncology top 10%
- Co-authors
- Virginia PasquinelliRosa MusellaJavier O. JuradoIvana B. AlvarezJoseph J. CataneseMonica ChangEduardo AbbateSteven J. Schrodi
- Topics
- Tuberculosis Research and Epidemiology (29 papers)Mycobacterium research and diagnosis (17 papers)Immune Cell Function and Interaction (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of ImmunologyPLoS ONE
- Partner nations
- ArgentinaUnited StatesFrance
In The Last Decade
Verónica García
68 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Immunology 1.9k
- Infectious Diseases 732
- Epidemiology 707
- Molecular Biology 402
- Oncology 370
Countries citing papers authored by Verónica García
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 26 | |
| 9 | 6 | |
| 10 | 103 | |
| 11 | 34 | |
| 12 | 208 | |
| 13 | 31 | |
| 14 | 85 | |
| 15 | Participación en cribados mamográficos y creencias de salud: una perspectiva de proceso | 4 |
| 16 | A Large-Scale Genetic Association Study Confirms IL12B and Leads to the Identification of IL23R as Psoriasis-Risk Genesbreakdown → | 833 |
| 17 | 30 | |
| 18 | 36 | |
| 19 | 16 | |
| 20 | 21 |
About Verónica García
Verónica García is a scholar working on Immunology, Infectious Diseases and Epidemiology, having authored 70 papers that have together received 2.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (29 papers), Mycobacterium research and diagnosis (17 papers) and Immune Cell Function and Interaction (15 papers). The work is most often cited by research in Immunology (1.9k citations), Infectious Diseases (732 citations) and Dermatology (304 citations). Verónica García has collaborated with scholars based in Argentina, United States and France. Frequent 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 Craig T. Morita. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.
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.