Eva Muñoz

900 citations
46 papers · 663 · h-index 15

Impact in

    • Ion Channels and Receptors
    • Cancer Immunotherapy and Biomarkers
    • Cutaneous Melanoma Detection and Management

Papers in

    • Cancer Immunotherapy and Biomarkers 4
    • Cancer Treatment and Pharmacology 3
    • Cutaneous Melanoma Detection and Management 2
    • Melanoma and MAPK Pathways 3

Eva Muñoz

43 papers receiving 652 citations

Peers

Eva Muñoz
Comparison fields: 5 of 84
  • Sensory Systems 35
  • Oncology 173
  • Rheumatology 62
  • Cancer Research 58
  • Neurology 47
Replace Laura Gardner with:
Laura Gardner United States
Jack Longley United States
Fouzia Siraj India
Patrice Hémon France
Heidrun Ullrich Germany
Ingrid Boehm Australia
Vladimir Ratushny United States
Huifang Zhou China
Tatsuya Sasakawa Japan
Bryan D. Bell United States
Eva Muñoz relative to Laura Gardner United States Laura Gardner's profile →
Citations per field
00.5×4.8×
Laura Gardner · 1×
Citations per year

Countries citing papers authored by Eva Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Eva Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Muñoz, 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 Muñoz Line = papers co-authored together Eva Muñoz 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 200588
2 201158
3 200852
4 201751
5 202148
6 201143
7 202035
8 201432
9 201827
10 201125
11 199322
12 201318
13 201516
14 202116
15 201815
16 201714
17 201012
18 201710
19 20159
20 20238

About Eva Muñoz

Eva Muñoz is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology and Cancer Research, having authored 46 papers that have together received 663 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Renal cell carcinoma treatment (3 papers), Systemic Lupus Erythematosus Research (3 papers), Melanoma and MAPK Pathways (3 papers), Ion Channels and Receptors (3 papers), Cancer Treatment and Pharmacology (3 papers) and Cutaneous Melanoma Detection and Management (2 papers). The work is most often cited by research in Sensory Systems (35 citations), Oncology (173 citations), Rheumatology (62 citations), Cancer Research (58 citations) and Neurology (47 citations). Eva Muñoz has collaborated with scholars based in Spain, United States and Switzerland. Frequent co-authors include Hon J. Yu, Robert J. Linhardt, Carlos Villalobos, Lucı́a Núñez, Claudia Valverde, Aleix Prat, Bárbara Adamo, Javier Cortés, Ruth A. Valero and Sergio Peralta. Their work appears in journals such as Journal of Clinical Oncology, Melanoma Research, Clinical & Translational Oncology, Nephrology Dialysis Transplantation and Oncogene.

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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