Tania Garron
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research 9
- Viral Infections and Vectors 5
- Viral Infections and Outbreaks Research 5
- Viral gastroenteritis research and epidemiology 4
- COVID-19 Clinical Research Studies 3
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies 5
- Modeling and Simulation top 5%
- Health top 10%
- Immunology top 10%
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- Respiratory viral infections research 4
- Hepatitis B Virus Studies 4
- Co-authors
- Robert B. CouchChien‐Te K. TsengXinrong TaoRobert L. AtmarElena SbranaC. J. PetersNaoko Iwata‐YoshikawaPatrick C. Newman
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Tania Garron
18 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Infectious Diseases 1.2k
- Animal Science and Zoology 285
- Modeling and Simulation 64
- Health 91
- Immunology 220
Countries citing papers authored by Tania Garron
This map shows the geographic impact of Tania Garron'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 Tania Garron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tania Garron more than expected).
Fields of papers citing papers by Tania Garron
This network shows the impact of papers produced by Tania Garron. 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 Tania Garron. The network helps show where Tania Garron may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tania Garron, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 7 | |
| 3 | 2022 | 10 | |
| 4 | 2021 | 39 | |
| 5 | 2016 | 43 | |
| 6 | 2016 | 194 | |
| 7 | 2015 | 165 | |
| 8 | 2015 | 65 | |
| 9 | 2015 | 103 | |
| 10 | 2015 | 115 | |
| 11 | 2015 | 5 | |
| 12 | 2015 | 51 | |
| 13 | 2014 | 70 | |
| 14 | Immunization with SARS Coronavirus Vaccines Leads to Pulmonary Immunopathology on Challenge with the SARS Virusbreakdown → | 2012 | 399 |
| 15 | 2012 | 95 | |
| 16 | 2009 | 74 | |
| 17 | Recombinant Human Decorin Inhibits TGF-b1 Induced Contraction of Collagen Lattice by Keloid Fibroblasts. | 2009 | 4 |
| 18 | 1999 | 2 |
About Tania Garron
Tania Garron is a scholar working on Infectious Diseases, Animal Science and Zoology and Rehabilitation, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Viral Infections and Vectors (5 papers), Viral Infections and Outbreaks Research (5 papers), Animal Virus Infections Studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Respiratory viral infections research (4 papers), Hepatitis B Virus Studies (4 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Animal Science and Zoology (285 citations) and Modeling and Simulation (64 citations). Tania Garron has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Robert B. Couch, Chien‐Te K. Tseng, Xinrong Tao, Robert L. Atmar, Elena Sbrana, C. J. Peters, Naoko Iwata‐Yoshikawa, Patrick C. Newman, Anurodh Shankar Agrawal and Bi-Hung Peng. Their work appears in journals such as Journal of Virology, PLoS ONE, Scientific Reports, Cellular and Molecular Immunology and Human Vaccines & Immunotherapeutics.
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.