Eva Villamón

1.3k citations
32 papers · 724 · h-index 16

Impact in

    • Antifungal resistance and susceptibility
  • Immunology top 10%
    • Immune Response and Inflammation
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms

Papers in

Eva Villamón

31 papers receiving 713 citations

Peers

Eva Villamón
Comparison fields: 5 of 85
  • Infectious Diseases 244
  • Immunology 209
  • Neurology 139
  • Microbiology 53
  • Epidemiology 212
Replace Rolf Swoboda with:
Rolf Swoboda United States
Maria Letizia Giardino Torchia United States
Torsten Giesemann Germany
Marcello Merola Italy
Henry Ogbomo Canada
Chris Parsons United States
Shu Shun Li Canada
Catherine L. Kennedy Australia
Bettina Tippler Germany
Leanne Peiser United Kingdom
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Citations per field
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Rolf Swoboda · 1×
Citations per year

Countries citing papers authored by Eva Villamón

Since Specialization
Citations

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

Fields of papers citing papers by Eva Villamón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003164
2 200458
3
Myeloid differentiation factor 88 (MyD88) is required for murine resistance to Candida albicans and is critically involved in Candida -induced production of cytokines.
200557
4 200439
5 200638
6 201333
7 201031
8 200630
9 200629
10 200627
11 201423
12 201521
13 200420
14 201820
15 200817
16 201316
17 201515
18 201913
19 200312
20 202011

About Eva Villamón

Eva Villamón is a scholar working on Neurology, Infectious Diseases, Molecular Biology, Epidemiology and Immunology, having authored 32 papers that have together received 724 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (10 papers), Antifungal resistance and susceptibility (8 papers), Acute Myeloid Leukemia Research (5 papers), Immune Response and Inflammation (5 papers), Fungal Infections and Studies (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Pneumonia and Respiratory Infections (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Infectious Diseases (244 citations), Immunology (209 citations), Neurology (139 citations), Microbiology (53 citations) and Epidemiology (212 citations). Eva Villamón has collaborated with scholars based in Spain, Sweden and France. Frequent co-authors include Daniel Gozalbo, M. Luisa Gil, Patricia Roig, José‐Enrique O’Connor, D Fradelizi, Celia Murciano, Rosa Noguera, Samuel Navarro, Irene Tadeo and Ana P. Berbegall. Their work appears in journals such as PLoS ONE, Microbes and Infection, Toxicology in Vitro, Pediatric Research and Antonie van Leeuwenhoek.

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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