Gabriel Reina

2.0k citations
71 papers · 933 indexed · h-index 18
Topics
Influenza Virus Research Studies (14 papers)Respiratory viral infections research (13 papers)HIV/AIDS Research and Interventions (9 papers)

In The Last Decade

Gabriel Reina

65 papers receiving 906 citations

Peers

Gabriel Reina
Comparison fields: 5 of 90
  • Epidemiology 508
  • Infectious Diseases 397
  • Hepatology 144
  • Health 109
  • Agronomy and Crop Science 98
Replace Susanne Dudman with:
Susanne Dudman Norway
Arnaud G. L’Huillier Switzerland
Timothy Burgess United States
Kisoon Kim South Korea
Matthew Donati United Kingdom
Ananda S Bandyopadhyay United States
Vincent Hsu United States
Daniela Pițigoi Romania
Gina Tambini United States
Hélène Bricout France
Gabriel Reina relative to Susanne Dudman Norway Susanne Dudman's profile →
Citations per field
00.5×1.5×2.3×
Susanne Dudman · 1×
Citations per year

Countries citing papers authored by Gabriel Reina

Since Specialization
Citations

This map shows the geographic impact of Gabriel Reina'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 Reina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Reina more than expected).

Fields of papers citing papers by Gabriel Reina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriel Reina. 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 Reina. The network helps show where Gabriel Reina may publish in the future.

Co-authorship network of co-authors of Gabriel Reina

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Reina. A scholar is included among the top collaborators of Gabriel Reina 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 Reina. Gabriel Reina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 0
5 0
6 16
7 9
8 8
9 3
10 0
11 81
12 13
13 15
14 2
15 9
16 17
17 13
18 5
19 18
20
An ELISA method in the diagnosis of typhoid fever.
2

About Gabriel Reina

Gabriel Reina is a scholar working on Virology, Infectious Diseases and Epidemiology, having authored 71 papers that have together received 933 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (14 papers), Respiratory viral infections research (13 papers) and HIV/AIDS Research and Interventions (9 papers). The work is most often cited by research in Infectious Diseases (397 citations), Modeling and Simulation (94 citations) and Hepatology (144 citations). Gabriel Reina has collaborated with scholars based in Spain, Democratic Republic of the Congo and United States. Frequent co-authors include Jesús Castilla, Iván Martínez‐Baz, Marcela Guevara, Víctor Martínez-Artola, Carmen Ezpeleta, Manuel Garcìa Cenoz, Silvia Carlos, Francisco Pozo, Maite Arriazu and Aurelio Barricarte. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Clinical Microbiology.

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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