Eva Allonca

1.4k citations
46 papers · 1.1k · h-index 23

Impact in

Papers in

    • Cancer-related gene regulation 15
    • Wnt/β-catenin signaling in development and cancer 5
    • S100 Proteins and Annexins 5
    • RNA modifications and cancer 4
    • Cancer Cells and Metastasis 7

Eva Allonca

45 papers receiving 1.1k citations

Peers

Eva Allonca
Comparison fields: 5 of 74
  • Otorhinolaryngology 150
  • Periodontics 97
  • Cancer Research 269
  • Immunology and Allergy 107
  • Oncology 410
Replace Koroku Kato with:
Koroku Kato Japan
Chad A. Glazer United States
Yasutaka Hayashido Japan
Maher N. Younes United States
Massimiliano Mellone United Kingdom
Martha E. Lopez United States
Takahito Fukusumi Japan
Jiong Li United States
C. Soon Lee Australia
Wanglong Qiu United States
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Citations per field
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Citations per year

Countries citing papers authored by Eva Allonca

Since Specialization
Citations

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

Fields of papers citing papers by Eva Allonca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200869
2 200869
3 201663
4 201857
5 201356
6 202048
7 201640
8 201937
9 201134
10 201234
11 201731
12 201231
13 201928
14 201027
15 201026
16 201726
17 202026
18 201224
19 201324
20 202024

About Eva Allonca

Eva Allonca is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Immunology and Allergy, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related gene regulation (15 papers), Cell Adhesion Molecules Research (7 papers), Cancer Cells and Metastasis (7 papers), Wnt/β-catenin signaling in development and cancer (5 papers), S100 Proteins and Annexins (5 papers), Head and Neck Cancer Studies (5 papers), RNA modifications and cancer (4 papers) and Sarcoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Otorhinolaryngology (150 citations), Periodontics (97 citations), Cancer Research (269 citations), Immunology and Allergy (107 citations) and Oncology (410 citations). Eva Allonca has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Juan P. Rodrigo, Juana García-Pedrero, Juan Carlos de Vicente, Carlos Suárez, Tania Rodríguez‐Santamarta, Paloma Lequerica–Fernández, Aurora Astudillo, Francisco Hermida‐Prado, Sofía T. Menéndez and Darío García‐Carracedo. Their work appears in journals such as Cancers, Journal of Clinical Medicine, Head & Neck, Oral Oncology and Scientific Reports.

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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