V. Labrador

533 citations
15 papers · 433 · h-index 9

Impact in

  • Physiology top 10%
    • Lysosomal Storage Disorders Research
    • Calcium signaling and nucleotide metabolism
    • Effects and risks of endocrine disrupting chemicals
    • Environmental Toxicology and Ecotoxicology
    • Toxic Organic Pollutants Impact

Papers in

    • DNA Repair Mechanisms 1
    • Protein Degradation and Inhibitors 1
    • Chronic Lymphocytic Leukemia Research 2

V. Labrador

15 papers receiving 416 citations

Peers

V. Labrador
Comparison fields: 5 of 94
  • Physiology 46
  • Health, Toxicology and Mutagenesis 106
  • Cancer Research 47
  • Physiology 77
  • Pollution 35
Replace Jennifer Atkins with:
Jennifer Atkins United Kingdom
Kuan-I Lee Taiwan
Wen‐Li Hsu Taiwan
Ansoumane Kourouma China
Jen‐Ning Tsai Taiwan
Joachim M. Gerhold Estonia
Mingxing Xu China
John F. Riebow United States
Anita Petersen Denmark
V. Labrador relative to Jennifer Atkins United Kingdom Jennifer Atkins's profile →
Citations per field
00.5×10×
Jennifer Atkins · 1×
Citations per year

Countries citing papers authored by V. Labrador

Since Specialization
Citations

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

Fields of papers citing papers by V. Labrador

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2014140
2 201064
3 200562
4 200441
5 200634
6 200724
7 200420
8 202417
9 20238
10 20238
11 20217
12 20113
13 20252
14 20222
15 20261

About V. Labrador

V. Labrador is a scholar working on Molecular Biology, Genetics, Health, Toxicology and Mutagenesis, Epidemiology and Cell Biology, having authored 15 papers that have together received 433 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Environmental Toxicology and Ecotoxicology (2 papers), DNA Repair Mechanisms (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Protein Degradation and Inhibitors (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Physiology (46 citations), Health, Toxicology and Mutagenesis (106 citations), Cancer Research (47 citations), Physiology (77 citations) and Pollution (35 citations). V. Labrador has collaborated with scholars based in Spain, Italy and Denmark. Frequent co-authors include José Manuel Pérez Martín, Paloma Fernández Freire, M.J. Hazen, María Dolores Ledesma, Carlos G. Dotti, Patricia Boya, Enrique Gabandé‐Rodríguez, Ana Peropadre, Óscar Herrero and M. Salguero. Their work appears in journals such as Biology Open, Cell Death and Differentiation, Mutation research. Fundamental and molecular mechanisms of mutagenesis, HemaSphere and Frontiers in Cell and Developmental Biology.

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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