Danielle Véga

1.4k citations
23 papers · 1.1k indexed · h-index 15

Impact in

  • Pollution top 5%
    • Pesticide and Herbicide Environmental Studies
    • Pharmaceutical and Antibiotic Environmental Impacts
    • Plant Molecular Biology Research
    • Chromosomal and Genetic Variations
    • Plant nutrient uptake and metabolism
    • Plant Virus Research Studies

Papers in

Danielle Véga

23 papers receiving 1.1k citations

Peers

Danielle Véga
Comparison fields: 5 of 61
  • Pollution 221
  • Plant Science 689
  • Endocrinology 39
  • Molecular Biology 466
  • Health, Toxicology and Mutagenesis 80
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Danielle Véga relative to Kenji Washio Japan Kenji Washio's profile →
Citations per field
00.5×1.5×
Kenji Washio · 1×
Citations per year

Countries citing papers authored by Danielle Véga

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Véga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20128
2 201115
3 20101
4 2009121
5 200965
6 2007248
7 200623
8 2005298
9 200365
10 200110
11 199823
12 199620
13 199530
14 199414
15 199231
16 199114
17 199018
18 198813
19 198614
20 198516

About Danielle Véga

Danielle Véga is a scholar working on Pollution, Environmental Chemistry, Health, Toxicology and Mutagenesis, Inorganic Chemistry and Plant Science, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pesticide and Herbicide Environmental Studies (10 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Plant Molecular Biology Research (3 papers), Radioactive element chemistry and processing (3 papers), Fungal Plant Pathogen Control (2 papers), Genetic and phenotypic traits in livestock (2 papers), Ruminant Nutrition and Digestive Physiology (2 papers) and Plant nutrient uptake and metabolism (2 papers). The work is most often cited by research in Pollution (221 citations), Plant Science (689 citations), Endocrinology (39 citations), Molecular Biology (466 citations) and Health, Toxicology and Mutagenesis (80 citations). Danielle Véga has collaborated with scholars based in France, Brazil and Austria. Frequent co-authors include Thierry Lagrange, Dominique Pontier, Jean Bastide, Mohamed‐Ali Hakimi, Sylvie Lahmy, Richard Cooke, Catherine Picart, Mahmoud El‐Shami, Galina Yahubyan and Silva Lerbs‐Mache. Their work appears in journals such as Soil Biology and Biochemistry, Journal of Agricultural and Food Chemistry, FEMS Microbiology Ecology, Genes & Development and Weed 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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