Gemma Viñas

715 citations
16 papers · 240 · h-index 7

Impact in

    • Cancer, Lipids, and Metabolism
    • Cancer, Hypoxia, and Metabolism
    • Cancer Cells and Metastasis
    • HER2/EGFR in Cancer Research

Papers in

    • Global Cancer Incidence and Screening 2
    • Cancer Cells and Metastasis 2
    • HER2/EGFR in Cancer Research 2
    • Cancer, Lipids, and Metabolism 5

Gemma Viñas

14 papers receiving 237 citations

Peers

Gemma Viñas
Comparison fields: 5 of 48
  • Cancer Research 125
  • Oncology 52
  • Molecular Biology 139
  • Toxicology 3
  • Biochemistry 6
Replace Tuya Bai with:
Tuya Bai Japan
Timothy P. Gilliam United States
Zhen Cai China
Purificación Estévez-García Spain
Johnny Yu United States
Shuchen Dong China
Shi Li China
Gemma Viñas relative to Tuya Bai Japan Tuya Bai's profile →
Citations per field
00.5×1.6×
Tuya Bai · 1×
Citations per year

Countries citing papers authored by Gemma Viñas

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Viñas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201678
2 201951
3 201742
4 201529
5 201313
6 20227
7 20126
8 20183
9 20123
10 20243
11 20142
12 20221
13 20251
14 20061
15 20250
16 20250

About Gemma Viñas

Gemma Viñas is a scholar working on Oncology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Pharmacology, having authored 16 papers that have together received 240 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (5 papers), Global Cancer Incidence and Screening (2 papers), Cancer Cells and Metastasis (2 papers), HER2/EGFR in Cancer Research (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Vitamin C and Antioxidants Research (1 paper), Epigenetics and DNA Methylation (1 paper) and Medicinal Plants and Bioactive Compounds (1 paper). The work is most often cited by research in Cancer Research (125 citations), Oncology (52 citations), Molecular Biology (139 citations), Toxicology (3 citations) and Biochemistry (6 citations). Gemma Viñas has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Teresa Puig, Glòria Oliveras, Ariadna Sarrats, Ariadna Giró‐Perafita, David H. Lum, Sònia Palomeras, Alana L. Welm, Adriana Blancafort, María Buxó and Joan Dorca. Their work appears in journals such as International Journal of Environmental Research and Public Health, Oncotarget, Clinical & Translational Oncology, Clinical Cancer Research and Breast Cancer Research and Treatment.

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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