Nuria Labiod

539 citations
22 papers · 341 · h-index 8

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral Infections and Vectors
    • Viral Infections and Outbreaks Research
    • Immunotherapy and Immune Responses

Papers in

    • SARS-CoV-2 and COVID-19 Research 11
    • Viral Infections and Outbreaks Research 5
    • Viral Infections and Vectors 5
    • COVID-19 Clinical Research Studies 3
    • Viral gastroenteritis research and epidemiology 2
    • Immunotherapy and Immune Responses 4

Nuria Labiod

20 papers receiving 336 citations

Peers

Nuria Labiod
Comparison fields: 5 of 54
  • Infectious Diseases 244
  • Immunology 71
  • Parasitology 16
  • Animal Science and Zoology 23
  • Ecology, Evolution, Behavior and Systematics 42
Replace Megan C. Mears with:
Megan C. Mears United States
Lawrence Mok Australia
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Yuzy Fauzyah Japan
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Citations per field
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Megan C. Mears · 1×
Citations per year

Countries citing papers authored by Nuria Labiod

Since Specialization
Citations

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

Fields of papers citing papers by Nuria Labiod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nuria Labiod, 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 Nuria Labiod Line = papers co-authored together Nuria Labiod links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021150
2 201957
3 202228
4 202118
5 202313
6 202112
7 20218
8 20248
9 20227
10 20236
11 20226
12 20235
13 20204
14 20244
15 20233
16 20223
17 20253
18 20233
19 20252
20 20261

About Nuria Labiod

Nuria Labiod is a scholar working on Infectious Diseases, Immunology, Animal Science and Zoology, Public Health, Environmental and Occupational Health and Ecology, Evolution, Behavior and Systematics, having authored 22 papers that have together received 341 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), Viral Infections and Outbreaks Research (5 papers), Viral Infections and Vectors (5 papers), Immunotherapy and Immune Responses (4 papers), Animal Virus Infections Studies (3 papers), COVID-19 Clinical Research Studies (3 papers), Mosquito-borne diseases and control (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (244 citations), Immunology (71 citations), Parasitology (16 citations), Animal Science and Zoology (23 citations) and Ecology, Evolution, Behavior and Systematics (42 citations). Nuria Labiod has collaborated with scholars based in Spain, France and Italy. Frequent co-authors include Fátima Lasala, Rafael Bastos Delgado, Joanna Luczkowiak, Franck Fieschi, Anna Bernardi, Guy Schoehn, Corinne Vivès, Isabelle Bally, Michel Thépaut and Nicole M. Thielens. Their work appears in journals such as Frontiers in Immunology, The Journal of Infectious Diseases, Vaccine, Antiviral Research and Parasites & Vectors.

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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