Véronique Vitart

67.9k citations
58 papers · 2.1k indexed · 1 hit paper · h-index 24
Topics
Genetic Associations and Epidemiology (26 papers)Genetic and phenotypic traits in livestock (12 papers)Genetic Mapping and Diversity in Plants and Animals (11 papers)

In The Last Decade

Véronique Vitart

56 papers receiving 2.1k citations

Hit Papers

A Role for Brassinosteroids in Light-Dependent Developmen...19962026200620161996200400600

Peers

Véronique Vitart
Comparison fields: 5 of 126
  • Molecular Biology 1.1k
  • Plant Science 1.1k
  • Genetics 562
  • Radiology, Nuclear Medicine and Imaging 121
  • Nephrology 83
Replace Virginia P. Winfrey with:
Virginia P. Winfrey United States
Pingbo Zhang United States
Aaron Isaacs Netherlands
Callum J. Bell United States
Xiaoyi Gao United States
J. H. Renwick United Kingdom
Dongfang Wang United States
Ondrej Libiger United States
Jian Zeng Australia
Nasa Sinnott-Armstrong United States
Véronique Vitart relative to Virginia P. Winfrey United States Virginia P. Winfrey's profile →
Citations per field
00.5×10.1×
Virginia P. Winfrey · 1×
Citations per year

Countries citing papers authored by Véronique Vitart

Since Specialization
Citations

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

Fields of papers citing papers by Véronique Vitart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Véronique Vitart

This figure shows the co-authorship network connecting the top 25 collaborators of Véronique Vitart. A scholar is included among the top collaborators of Véronique Vitart based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Véronique Vitart. Véronique Vitart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 11
4 21
5 14
6 16
7 5
8 12
9 46
10 14
11
Using Haplotype Mapping to Uncover the Missing Heritability: A Simulation Study
0
12 8
13 4
14 76
15 4
16 39
17 35
18 18
19 51
20 37

About Véronique Vitart

Véronique Vitart is a scholar working on Genetics, Nephrology and Ophthalmology, having authored 58 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (26 papers), Genetic and phenotypic traits in livestock (12 papers) and Genetic Mapping and Diversity in Plants and Animals (11 papers). The work is most often cited by research in Plant Science (1.1k citations), Genetics (562 citations) and Molecular Biology (1.1k citations). Véronique Vitart has collaborated with scholars based in United Kingdom, Croatia and United States. Frequent co-authors include Joanne Chory, Punita Nagpal, Jianming Li, Trevor C. McMorris, Caroline Hayward, Alan F. Wright, Igor Rudan, James F. Wilson, Jeffrey F. Harper and Chris Haley. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

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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