Nathalie Côté
- Molecular Biology
- Equine top 2%
- Small Animals top 10%
- Biomedical Engineering
- Archeology top 5%
- Co-authors
- Judith KoenigRyszard BrzezińskiMasaru MitsutomiTamo FukamizoJ. Scott WeeseAlain FleuryMatthieu Le BaillyDonald R. Trout
- Topics
- Veterinary Equine Medical Research (10 papers)Paleopathology and ancient diseases (2 papers)Machine Learning in Bioinformatics (2 papers)
- Partner nations
- CanadaFranceUnited States
In The Last Decade
Nathalie Côté
31 papers receiving 443 citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 130
- Equine 84
- Small Animals 52
- Biomedical Engineering 48
- Archeology 45
Countries citing papers authored by Nathalie Côté
This map shows the geographic impact of Nathalie Côté'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 Nathalie Côté with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathalie Côté more than expected).
Fields of papers citing papers by Nathalie Côté
This network shows the impact of papers produced by Nathalie Côté. 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 Nathalie Côté. The network helps show where Nathalie Côté may publish in the future.
Co-authorship network of co-authors of Nathalie Côté
This figure shows the co-authorship network connecting the top 25 collaborators of Nathalie Côté. A scholar is included among the top collaborators of Nathalie Côté 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 Nathalie Côté. Nathalie Côté is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 14 | |
| 8 | 46 | |
| 9 | 37 | |
| 10 | 19 | |
| 11 | 18 | |
| 12 | Soutien social et personnes âgées en cas de désastre : points saillants des recherches existantes | 1 |
| 13 | Les conséquences de l'exposition à une catastrophe sur la santé biopsychosociale des personnes âgées : que savons-nous jusqu'à maintenant sur cette question ? | 2 |
| 14 | 9 | |
| 15 | 28 | |
| 16 | 36 | |
| 17 | 13 | |
| 18 | 22 | |
| 19 | 24 | |
| 20 | Interaction of transforming growth factor-beta-1 with alpha-2-macroglobulin from normal and inflamed equine joints. | 7 |
About Nathalie Côté
Nathalie Côté is a scholar working on Equine, Microbiology and Critical Care and Intensive Care Medicine, having authored 35 papers that have together received 462 indexed citations. Recurring topics across this work include Veterinary Equine Medical Research (10 papers), Paleopathology and ancient diseases (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Equine (84 citations), Small Animals (52 citations) and Critical Care and Intensive Care Medicine (28 citations). Nathalie Côté has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Judith Koenig, Ryszard Brzeziński, Masaru Mitsutomi, Tamo Fukamizo, J. Scott Weese, Alain Fleury, Matthieu Le Bailly, Donald R. Trout, Christophe Guyeux and Jacques M. Bahi. Their work appears in journals such as PLoS ONE, Biochemical Journal and Journal of Dairy Science.
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.