Gabriel I. Parra

4.6k citations
86 papers · 3.2k indexed · 1 hit paper · h-index 31

Gabriel I. Parra

83 papers receiving 3.2k citations

Hit Papers

Updated classification of norovirus genogroups and genotypes5922019202620212023100200300400500

Peers

Gabriel I. Parra
Comparison fields: 5 of 103
  • Infectious Diseases 2.9k
  • Animal Science and Zoology 1.3k
  • Cardiology and Cardiovascular Medicine 1.4k
  • Hepatology 472
  • Genetics 741
Replace Juan E. Ludert with:
Juan E. Ludert Venezuela
Shahzad Shaukat Pakistan
Stanislav V. Sosnovtsev United States
Zenobia F. Taraporewala United States
Xi‐Lei Zeng United States
Lin Qu China
James R. Broughman United States
Dianjun Cao United States
Timothy J. Nice United States
Victoria R. Tenge United States
Gabriel I. Parra relative to Juan E. Ludert Venezuela Juan E. Ludert's profile →
Citations per field
00.5×3.3×
Juan E. Ludert · 1×
Citations per year

Countries citing papers authored by Gabriel I. Parra

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Gabriel I. Parra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gabriel I. Parra Line = papers co-authored together Gabriel I. Parra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 202211
4 202139
5 2017200
6 201610
7 201618
8 201416
9 201332
10 201337
11 201342
12 201268
13 200958
14 200918
15
Sensibilidad y especificidad del método inmunocromatográfico utilizado para el diagnóstico de rotavirus
20081
16 20085
17
Productividad científica del Paraguay en el área de biomedicina: un análisis bibliométrico
20071
18 200723
19 200718
20 200657

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), Viral Infections and Immunology Research (41 papers), Virus-based gene therapy research (22 papers), Hepatitis Viruses Studies and Epidemiology (15 papers), Respiratory viral infections research (8 papers), Congenital Anomalies and Fetal Surgery (4 papers) and Immunotherapy and Immune Responses (3 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.

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