Gabriel I. Parra
- Infectious Diseases top 0.2%
- Cardiology and Cardiovascular Medicine top 1%
- Animal Science and Zoology top 0.2%
- Genetics top 2%
- Hepatology top 2%
- Co-authors
- Kim Y. GreenKentaro TohmaStanislav V. SosnovtsevLauren A. Ford-SiltzKarin BokCara J. LeporeJuan A. StupkaVito Martella
- Topics
- Viral gastroenteritis research and epidemiology (77 papers)Animal Virus Infections Studies (42 papers)Viral Infections and Immunology Research (41 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsThe Journal of Immunology
- Partner nations
- United StatesParaguayArgentina
In The Last Decade
Gabriel I. Parra
83 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Infectious Diseases 2.9k
- Cardiology and Cardiovascular Medicine 1.4k
- Animal Science and Zoology 1.3k
- Genetics 741
- Hepatology 472
Countries citing papers authored by Gabriel I. Parra
This map shows the geographic impact of Gabriel I. Parra'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 Gabriel I. Parra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel I. Parra more than expected).
Fields of papers citing papers by Gabriel I. Parra
This network shows the impact of papers produced by Gabriel I. Parra. 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 Gabriel I. Parra. The network helps show where Gabriel I. Parra may publish in the future.
Co-authorship network of co-authors of Gabriel I. Parra
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel I. Parra. A scholar is included among the top collaborators of Gabriel I. Parra 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 Gabriel I. Parra. Gabriel I. Parra 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 | 0 | |
| 3 | 11 | |
| 4 | 39 | |
| 5 | 200 | |
| 6 | 10 | |
| 7 | 18 | |
| 8 | 16 | |
| 9 | 32 | |
| 10 | 37 | |
| 11 | 42 | |
| 12 | 68 | |
| 13 | 58 | |
| 14 | 18 | |
| 15 | Sensibilidad y especificidad del método inmunocromatográfico utilizado para el diagnóstico de rotavirus | 1 |
| 16 | 5 | |
| 17 | Productividad científica del Paraguay en el área de biomedicina: un análisis bibliométrico | 1 |
| 18 | 23 | |
| 19 | 18 | |
| 20 | 57 |
About Gabriel I. Parra
Gabriel I. Parra is a scholar working on Infectious Diseases, Animal Science and Zoology and Hepatology, having authored 86 papers that have together received 3.2k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (77 papers), Animal Virus Infections Studies (42 papers) and Viral Infections and Immunology Research (41 papers). The work is most often cited by research in Infectious Diseases (2.9k citations), Animal Science and Zoology (1.3k citations) and Cardiology and Cardiovascular Medicine (1.4k citations). Gabriel I. Parra has collaborated with scholars based in United States, Paraguay and Argentina. Frequent co-authors include Kim Y. Green, Kentaro Tohma, Stanislav V. Sosnovtsev, Lauren A. Ford-Siltz, Karin Bok, Cara J. Lepore, Juan A. Stupka, Vito Martella, Marion Koopmans and Martin C.W. Chan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.
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.