Gemma Viñas

697 citations
14 papers · 234 · h-index 7

Impact in

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

Papers in

    • Cancer, Lipids, and Metabolism 5
    • Breast Cancer Treatment Studies 3
    • Cancer, Hypoxia, and Metabolism 2
    • Peroxisome Proliferator-Activated Receptors 2

Gemma Viñas

14 papers receiving 231 citations

Peers

Gemma Viñas
Comparison fields: 5 of 52
  • Cancer Research 140
  • Oncology 66
  • Molecular Biology 165
  • Biochemistry 8
  • Pulmonary and Respiratory Medicine 36
Replace Shyamananda Singh Mayengbam with:
Shyamananda Singh Mayengbam India
Tong Yu China
Timothy P. Gilliam United States
Jingpei Long China
Qian Gou China
Johnny Yu United States
Shi Li China
Yanan Gu China
Jie Qing Eu Singapore
Sameer H. Issaq United States
Gemma Viñas relative to Shyamananda Singh Mayengbam India Shyamananda Singh Mayengbam's profile →
Citations per field
00.5×1.5×1.8×
Shyamananda Singh Mayengbam · 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

14 of 14 papers shown
#Work
1 201676
2 201950
3 201741
4 201529
5 201313
6 20126
7 20226
8 20183
9 20123
10 20242
11 20142
12 20251
13 20061
14 20221

About Gemma Viñas

Gemma Viñas is a scholar working on Cancer Research, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Economics and Econometrics, having authored 14 papers that have together received 234 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (5 papers), Breast Cancer Treatment Studies (3 papers), Statistical Methods in Clinical Trials (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Global Cancer Incidence and Screening (2 papers), Cancer Risks and Factors (2 papers) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Cancer Research (140 citations), Oncology (66 citations), Molecular Biology (165 citations), Biochemistry (8 citations) and Pulmonary and Respiratory Medicine (36 citations). Gemma Viñas has collaborated with scholars based in Spain, United States and Palestinian Territory. Frequent co-authors include Teresa Puig, Glòria Oliveras, Ariadna Sarrats, Ariadna Giró‐Perafita, Alana L. Welm, David H. Lum, Sònia Palomeras, Adriana Blancafort, María Buxó and Joan Brunet. Their work appears in journals such as Clinical & Translational Oncology, Oncotarget, International Journal of Environmental Research and Public Health, Cancers and Clinical Cancer Research.

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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