Luciano Vellón

3.0k citations
51 papers · 2.5k indexed · h-index 27
    • Cancer, Lipids, and Metabolism 18
    • Cancer, Hypoxia, and Metabolism 8
    • Pluripotent Stem Cells Research 8
    • Peroxisome Proliferator-Activated Receptors 5
    • PI3K/AKT/mTOR signaling in cancer 4
    • CRISPR and Genetic Engineering 4
  • Aging top 10%
  • Oncology top 5%
    • HER2/EGFR in Cancer Research 6
    • Cancer Cells and Metastasis 5

Luciano Vellón

51 papers receiving 2.4k citations

Peers

Luciano Vellón
Comparison fields: 5 of 107
  • Cancer Research 1.0k
  • Molecular Biology 1.7k
  • Aging 36
  • Biochemistry 130
  • Oncology 489
Replace Zachary T. Schafer with:
Zachary T. Schafer United States
Hong‐Duck Um South Korea
Ji‐Hong Lim South Korea
Kristin K. Nelson United States
Tzu‐Ching Meng Taiwan
Ker Yu United States
Kirsteen J. Campbell United Kingdom
Yoram Devary Israel
Joslyn K. Brunelle United States
Kyung‐Hee Chun South Korea
Luciano Vellón relative to Zachary T. Schafer United States Zachary T. Schafer's profile →
Citations per field
00.5×1.5×
Zachary T. Schafer · 1×
Citations per year

Countries citing papers authored by Luciano Vellón

Since Specialization
Citations

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

Fields of papers citing papers by Luciano Vellón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20244
3 202133
4 202023
5 201511
6 201376
7 201253
8 2011117
9
Stem Cell Biobanks for Research
20111
10 201012
11 200912
12 200632
13 200687
14 2005145
15 200522
16 2005204
17 200528
18 200526
19 200596
20 200121

About Luciano Vellón

Luciano Vellón is a scholar working on Cancer Research, Aging and Immunology and Allergy, having authored 51 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (18 papers), Pluripotent Stem Cells Research (8 papers), Cancer, Hypoxia, and Metabolism (8 papers), HER2/EGFR in Cancer Research (6 papers), Cancer Cells and Metastasis (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Cancer Research (1.0k citations), Molecular Biology (1.7k citations) and Aging (36 citations). Luciano Vellón has collaborated with scholars based in United States, Spain and Argentina. Frequent co-authors include Javier A. Menéndez, Ruth Lupu, Rámón Colomer, Alejandro Vázquez‐Martín, Sílvia Cufí, Cristina Oliveras‐Ferraros, Inderjit Mehmi, Begoña Martı́n-Castillo, Bruna Corominas-Faja and Santiago Ropero. Their work appears in journals such as Proceedings of the National Academy of Sciences, JNCI Journal of the National Cancer Institute 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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