Daniela Rivera-Pérez

581 citations
4 papers · 97 · h-index 4

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Viral gastroenteritis research and epidemiology
    • Viral Infections and Vectors

Papers in

Daniela Rivera-Pérez

4 papers receiving 95 citations

Peers

Daniela Rivera-Pérez
Comparison fields: 5 of 39
  • Immunology 41
  • Infectious Diseases 29
  • Epidemiology 52
  • Rheumatology 10
  • Microbiology 4
Replace María José Currás-Tuala with:
María José Currás-Tuala Spain
Hiromitsu Teruya Japan
Alexandra Tsitsiklis United States
Isano Hase Japan
Janáira Fernandes Severo Ferreira Brazil
Carroll G. Bull United Kingdom
Tian Gong China
Madalina E. Carter-Timofte Denmark
Christine Olbjørn Norway
Eishika Dissanayake United States
Daniela Rivera-Pérez relative to María José Currás-Tuala Spain María José Currás-Tuala's profile →
Citations per field
00.5×1.7×
María José Currás-Tuala · 1×
Citations per year

Countries citing papers authored by Daniela Rivera-Pérez

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Rivera-Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Rivera-Pérez. 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 Daniela Rivera-Pérez. The network helps show where Daniela Rivera-Pérez may publish in the future.

Co-authors

The 14 scholars most cited alongside Daniela Rivera-Pérez, 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 Daniela Rivera-Pérez Line = papers co-authored together Daniela Rivera-Pérez links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 201937
2 201932
3 202124
4 20224

About Daniela Rivera-Pérez

Daniela Rivera-Pérez is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Immunology, Infectious Diseases and Molecular Biology, having authored 4 papers that have together received 97 indexed citations. Recurring topics across this work include Respiratory viral infections research (3 papers), Neonatal Respiratory Health Research (2 papers), Influenza Virus Research Studies (1 paper), Thyroid Disorders and Treatments (1 paper), Viral Infections and Vectors (1 paper), Heme Oxygenase-1 and Carbon Monoxide (1 paper), Immune Response and Inflammation (1 paper) and Immune responses and vaccinations (1 paper). The work is most often cited by research in Immunology (41 citations), Infectious Diseases (29 citations), Epidemiology (52 citations), Rheumatology (10 citations) and Microbiology (4 citations). Daniela Rivera-Pérez has collaborated with scholars based in Chile, United States and Argentina. Frequent co-authors include Alexis M. Kalergis, Fabián E. Díaz, Jodi L. McGill, Abel E. Vásquez, Samanta C. Funes, Evelyn L. Jara, Mariana Ríos, Juan Carlos Roa, Ayleen Fernández‐Fierro and Juan Pablo Mackern‐Oberti. Their work appears in journals such as Frontiers in Immunology, Immunology and Frontiers in 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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