Javier Cantón

561 citations
5 papers · 407 · h-index 5

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 detection and testing
    • Animal Virus Infections Studies

Papers in

    • Viral gastroenteritis research and epidemiology 3
    • SARS-CoV-2 and COVID-19 Research 3
    • COVID-19 Clinical Research Studies 1
    • RNA regulation and disease 2
    • Nuclear Structure and Function 1

Javier Cantón

5 papers receiving 394 citations

Peers

Javier Cantón
Comparison fields: 5 of 56
  • Infectious Diseases 284
  • Animal Science and Zoology 97
  • Immunology 86
  • Modeling and Simulation 16
  • Health 17
Replace Pan-Pan Zhou with:
Pan-Pan Zhou China
Kaitlin R. Sprouse United States
Belinda M. Dcosta United States
Chris Mok Hong Kong
Katharina Grikscheit Germany
Yanjia Chen China
Mingru Liu United States
Baojing Lu China
Lucía Morales Spain
Fernando Senjobe United States
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Citations per field
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Citations per year

Countries citing papers authored by Javier Cantón

Since Specialization
Citations

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

Fields of papers citing papers by Javier Cantón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Javier Cantón, 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 Javier Cantón Line = papers co-authored together Javier Cantón links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About Javier Cantón

Javier Cantón is a scholar working on Infectious Diseases, Molecular Biology, Cardiology and Cardiovascular Medicine, Animal Science and Zoology and Epidemiology, having authored 5 papers that have together received 407 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), RNA regulation and disease (2 papers), COVID-19 Clinical Research Studies (1 paper), Autophagy in Disease and Therapy (1 paper), Phagocytosis and Immune Regulation (1 paper), Nuclear Structure and Function (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Infectious Diseases (284 citations), Animal Science and Zoology (97 citations), Immunology (86 citations), Modeling and Simulation (16 citations) and Health (17 citations). Javier Cantón has collaborated with scholars based in Spain, United States and Netherlands. Frequent co-authors include Isabel Sola, Luis Enjuanes, Francisco J. Gutierrez-Alvarez, Sonia Zúñiga, Carlos Castaño-Rodríguez, Martijn A. Langereis, Peter J. Bredenbeek, Marjolein Kikkert, Huib H. Rabouw and Raoul J. de Groot. Their work appears in journals such as PLoS Pathogens, Advances in virus research and Pathogens.

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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