Anne Vaiman
Impact in
- Equine top 5%
- Veterinary Equine Medical Research
- Microbiology top 10%
Papers in
-
- RNA Research and Splicing 3
- Molecular Biology Techniques and Applications 2
- Genetics 7
- Genetic Mapping and Diversity in Plants and Animals 6
- Animal Genetics and Reproduction 4
- Genetic and phenotypic traits in livestock 4
- Co-authors
- Laurent Schibler (7 shared papers)J. R. McNeilly (1 shared paper)Sylvie Canépa (1 shared paper)Joëlle Dupont (1 shared paper)Éric Barrey (3 shared papers)Xavier Mata (5 shared papers)Yves Combarnous (1 shared paper)Núria Mach (2 shared papers)
- Journals
- Genetics Selection Evolution (4 papers)BMC Genomics (3 papers)Scientific Reports (3 papers)Biochemical and Biophysical Research Communications (2 papers)PLoS ONE (2 papers)
- Partner nations
- FranceMoroccoSwitzerland
In The Last Decade
Anne Vaiman
20 papers receiving 364 citations
Peers
Comparison fields: 5 of 60
- Equine 31
- Microbiology 8
- Cancer Research 79
- Genetics 133
- Molecular Biology 195
Countries citing papers authored by Anne Vaiman
This map shows the geographic impact of Anne Vaiman'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 Anne Vaiman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Vaiman more than expected).
Fields of papers citing papers by Anne Vaiman
This network shows the impact of papers produced by Anne Vaiman. 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 Anne Vaiman. The network helps show where Anne Vaiman may publish in the future.
Co-authors
The 25 scholars most cited alongside Anne Vaiman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 72 | |
| 2 | 2016 | 53 | |
| 3 | 2016 | 35 | |
| 4 | 2014 | 31 | |
| 5 | 2011 | 29 | |
| 6 | 2001 | 22 | |
| 7 | 2003 | 19 | |
| 8 | 2000 | 19 | |
| 9 | 2020 | 17 | |
| 10 | 2007 | 16 | |
| 11 | 2019 | 16 | |
| 12 | 2012 | 12 | |
| 13 | 2014 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2019 | 5 | |
| 16 | 2000 | 4 | |
| 17 | 2009 | 4 | |
| 18 | 2021 | 2 | |
| 19 | 2000 | 1 | |
| 20 | 2000 | 1 |
About Anne Vaiman
Anne Vaiman is a scholar working on Molecular Biology, Genetics, Urology, Equine and Plant Science, having authored 20 papers that have together received 373 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (6 papers), Animal Genetics and Reproduction (4 papers), Genetic and phenotypic traits in livestock (4 papers), RNA Research and Splicing (3 papers), Molecular Biology Techniques and Applications (2 papers), Hair Growth and Disorders (2 papers), Chromosomal and Genetic Variations (2 papers) and Veterinary Equine Medical Research (2 papers). The work is most often cited by research in Equine (31 citations), Microbiology (8 citations), Cancer Research (79 citations), Genetics (133 citations) and Molecular Biology (195 citations). Anne Vaiman has collaborated with scholars based in France, Morocco and Switzerland. Frequent co-authors include Laurent Schibler, J. R. McNeilly, Sylvie Canépa, Joëlle Dupont, Éric Barrey, Xavier Mata, Yves Combarnous, Núria Mach, Alicja Pacholewska and Gérard Guérin. Their work appears in journals such as Genetics Selection Evolution, BMC Genomics, Scientific Reports, Biochemical and Biophysical Research Communications and PLoS ONE.
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.