Maud Vallée

17 papers receiving 527 citations

Peers

Maud Vallée
Comparison fields: 5 of 75
  • Reproductive Medicine 100
  • Public Health, Environmental and Occupational Health 191
  • Genetics 163
  • Agronomy and Crop Science 50
  • Genetics 47
Replace Tatsuo Kawarasaki with:
Tatsuo Kawarasaki Japan
Rafael Vilar Sampaio Brazil
Sezen Arat Türkiye
Angelica M. Giraldo United States
Eduardo O. Melo Brazil
Koichi Ushizawa Japan
Katrien Smits Belgium
Robert Kuo‐Kuang Lee Taiwan
Wiebke Garrels Germany
Elodie Pillet France
Maud Vallée relative to Tatsuo Kawarasaki Japan Tatsuo Kawarasaki's profile →
Citations per field
00.5×
Tatsuo Kawarasaki · 1×
Citations per year

Countries citing papers authored by Maud Vallée

Since Specialization
Citations

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

Fields of papers citing papers by Maud Vallée

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2007107
2 200565
3 200856
4 200443
5 200843
6 201041
7 200638
8 200929
9 200322
10 201022
11 201122
12 201320
13 201915
14 20018
15 20026
16 20225
17
Identification by subtractive hybridization of the most promising genes related to embryo survival in early gestating sows.
20022
18 20240

About Maud Vallée

Maud Vallée is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Infectious Diseases and Surgery, having authored 18 papers that have together received 544 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (5 papers), Reproductive Biology and Fertility (4 papers), Molecular Biology Techniques and Applications (3 papers), Prenatal Screening and Diagnostics (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Folate and B Vitamins Research (1 paper), Fatty Acid Research and Health (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Reproductive Medicine (100 citations), Public Health, Environmental and Occupational Health (191 citations), Genetics (163 citations), Agronomy and Crop Science (50 citations) and Genetics (47 citations). Maud Vallée has collaborated with scholars based in Canada, Netherlands and Ireland. Frequent co-authors include Claude Robert, Marc‐André Sirard, Catherine Gravel, Julie Fradette, Isabelle Gilbert, Marie‐France Palin, Guylain Boissonneault, Nathalie Bissonnette, Serge McGraw and David S. Wishart. Their work appears in journals such as Biology of Reproduction, Reproduction, Reproduction Fertility and Development, American Journal of Obstetrics and Gynecology and Journal of Obstetrics and Gynaecology Canada.

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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