Sylvain Auclair

15 papers receiving 616 citations

Peers

Sylvain Auclair
Comparison fields: 5 of 71
  • Biochemistry 106
  • Geriatrics and Gerontology 42
  • Public Health, Environmental and Occupational Health 172
  • Agronomy and Crop Science 55
  • Cancer Research 33
Replace Clara Ortega‐Camarillo with:
Clara Ortega‐Camarillo Mexico
Luca Barella Switzerland
Mitsue Sano Japan
Jeanene Marie de Avila United States
Leszek Markiewicz United States
Janine Keller Germany
Céline Boby France
Judit Gil‐Zamorano Spain
Bethan L. Clifford United States
Azam Moslehi Iran
Sylvain Auclair relative to Clara Ortega‐Camarillo Mexico Clara Ortega‐Camarillo's profile →
Citations per field
00.5×2×4×6.4×
Clara Ortega‐Camarillo · 1×
Citations per year

Countries citing papers authored by Sylvain Auclair

Since Specialization
Citations

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

Fields of papers citing papers by Sylvain Auclair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200894
2 201386
3 201467
4 201265
5 200858
6 201056
7 201546
8 201846
9 201629
10 201424
11 200622
12 201321
13 20156
14
Transcriptomic analysis of aorta from a short-term high-fat diet fed mouse reveals changes in the expression of vessel structure genes.
20095
15 20082

About Sylvain Auclair

Sylvain Auclair is a scholar working on Biochemistry, Geriatrics and Gerontology, Public Health, Environmental and Occupational Health, Immunology and Cancer Research, having authored 15 papers that have together received 627 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (5 papers), Phytochemicals and Antioxidant Activities (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Botanical Studies and Applications (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), Cholesterol and Lipid Metabolism (1 paper) and Protease and Inhibitor Mechanisms (1 paper). The work is most often cited by research in Biochemistry (106 citations), Geriatrics and Gerontology (42 citations), Public Health, Environmental and Occupational Health (172 citations), Agronomy and Crop Science (55 citations) and Cancer Research (33 citations). Sylvain Auclair has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Dragan Milenković, Augustin Scalbert, Andrzej Mazur, Elyett Gueux, Christine Morand, Rozenn Dalbiès‐Tran, Svetlana Uzbekova, Gary Thomas, Laurel Thomas and Katelyn M. Atkins. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Nature Communications, Biology of Reproduction, European Journal of Clinical Nutrition and Atherosclerosis.

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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