Aurélie Waget
- Molecular Biology top 1%
- Physiology top 0.5%
- Epidemiology top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 5%
- Co-authors
- Rémy BurcelinClaude KnaufPatrice D. CaniNathalie M. DelzenneRodrigo BibiloniAudrey M. NeyrinckPascale KloppSampo J. Lahtinen
- Topics
- Gut microbiota and health (10 papers)Diet and metabolism studies (8 papers)Adipokines, Inflammation, and Metabolic Diseases (7 papers)
- Partner nations
- FranceBelgiumUnited States
In The Last Decade
Aurélie Waget
37 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 4.4k
- Physiology 3.4k
- Epidemiology 1.6k
- Endocrinology, Diabetes and Metabolism 1.1k
- Surgery 957
Countries citing papers authored by Aurélie Waget
This map shows the geographic impact of Aurélie Waget'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 Aurélie Waget with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélie Waget more than expected).
Fields of papers citing papers by Aurélie Waget
This network shows the impact of papers produced by Aurélie Waget. 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 Aurélie Waget. The network helps show where Aurélie Waget may publish in the future.
Co-authorship network of co-authors of Aurélie Waget
This figure shows the co-authorship network connecting the top 25 collaborators of Aurélie Waget. A scholar is included among the top collaborators of Aurélie Waget 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 Aurélie Waget. Aurélie Waget is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 30 | |
| 3 | 39 | |
| 4 | 237 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 49 | |
| 8 | 120 | |
| 9 | 24 | |
| 10 | 35 | |
| 11 | 49 | |
| 12 | 127 | |
| 13 | 175 | |
| 14 | 10 | |
| 15 | 65 | |
| 16 | Changes in Gut Microbiota Control Metabolic Endotoxemia-Induced Inflammation in High-Fat Diet–Induced Obesity and Diabetes in Micebreakdown → | 3755 |
| 17 | 392 | |
| 18 | 106 | |
| 19 | 65 | |
| 20 | 52 |
About Aurélie Waget
Aurélie Waget is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Physiology, having authored 37 papers that have together received 7.6k indexed citations. Recurring topics across this work include Gut microbiota and health (10 papers), Diet and metabolism studies (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). The work is most often cited by research in Physiology (3.4k citations), Biological Psychiatry (324 citations) and Endocrinology, Diabetes and Metabolism (1.1k citations). Aurélie Waget has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Rémy Burcelin, Claude Knauf, Patrice D. Cani, Nathalie M. Delzenne, Rodrigo Bibiloni, Audrey M. Neyrinck, Pascale Klopp, Sampo J. Lahtinen, Jean‐François Arnal and Élodie Riant. Their work appears in journals such as Proceedings of the National Academy of Sciences, Gastroenterology 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.