A. Vilalta

601 citations
28 papers · 329 · h-index 11

Impact in

    • Cutaneous Melanoma Detection and Management
    • Cancer Immunotherapy and Biomarkers
    • Polyomavirus and related diseases
    • Cancer-related Molecular Pathways
    • Microbial Inactivation Methods

Papers in

A. Vilalta

25 papers receiving 312 citations

Peers

A. Vilalta
Comparison fields: 5 of 52
  • Oncology 181
  • Biotechnology 36
  • Immunology 63
  • Dermatology 23
  • Otorhinolaryngology 10
Replace Yunteng Wu with:
Yunteng Wu China
Julia Thierauf Germany
Javier Soteldo Italy
Thomas Brunhuber Austria
W. Ruka Poland
T Toge Japan
Henner Stege Germany
Veronika Kloboves Prevodnik Slovenia
Sasha D. Girouard United States
Maude Guillot‐Delost France
A. Vilalta relative to Yunteng Wu China Yunteng Wu's profile →
Citations per field
00.5×5.1×
Yunteng Wu · 1×
Citations per year

Countries citing papers authored by A. Vilalta

Since Specialization
Citations

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

Fields of papers citing papers by A. Vilalta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Chromosome 9p deletions in cutaneous malignant melanoma tumors: the minimal deleted region involves markers outside the p16 (CDKN2) gene.
199578
2 200440
3 200637
4 202323
5 200422
6 201517
7 201415
8 201415
9 201313
10 199612
11 202410
12 20218
13 20237
14 19937
15 20204
16 20144
17 20243
18 20223
19 20093
20 20232

About A. Vilalta

A. Vilalta is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Immunology and Cancer Research, having authored 28 papers that have together received 329 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Lung Cancer Treatments and Mutations (5 papers), Cutaneous Melanoma Detection and Management (4 papers), Cancer Genomics and Diagnostics (3 papers), Immunotherapy and Immune Responses (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Microbial Inactivation Methods (2 papers). The work is most often cited by research in Oncology (181 citations), Biotechnology (36 citations), Immunology (63 citations), Dermatology (23 citations) and Otorhinolaryngology (10 citations). A. Vilalta has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Susana Puig, José M. Mascaró, T Castel, Josep Malvehy, Josep Palou, Conxi Lázaro, Michael Lynch, J. Weissenbach, Anna Ruiz and Xavier Estivill. Their work appears in journals such as Journal of Thoracic Oncology, Annals of Oncology, Journal of the European Academy of Dermatology and Venereology, Molecular Cancer and Frontiers in Psychology.

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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