Gérard Slama
- Physiology top 2%
- Nutrition and Dietetics top 0.5%
- Endocrinology, Diabetes and Metabolism top 1%
- Public Health, Environmental and Occupational Health top 5%
- Molecular Biology
- Co-authors
- Salwa W. RizkallaJing LuoMorvarid KabirJ. BoillotHubert VidalF. BruzzoMichèle Guerre-MilloFrancis Bornet
- Topics
- Diet and metabolism studies (16 papers)Diet, Metabolism, and Disease (14 papers)Food composition and properties (9 papers)
- Journals
- American Journal of Clinical NutritionThe Journal of Clinical Endocrinology & MetabolismDiabetes Care
- Partner nations
- FranceCanadaSwitzerland
In The Last Decade
Gérard Slama
43 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 103
- Physiology 1.2k
- Nutrition and Dietetics 1.1k
- Endocrinology, Diabetes and Metabolism 899
- Public Health, Environmental and Occupational Health 450
- Molecular Biology 366
Countries citing papers authored by Gérard Slama
This map shows the geographic impact of Gérard Slama'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 Gérard Slama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gérard Slama more than expected).
Fields of papers citing papers by Gérard Slama
This network shows the impact of papers produced by Gérard Slama. 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 Gérard Slama. The network helps show where Gérard Slama may publish in the future.
Co-authorship network of co-authors of Gérard Slama
This figure shows the co-authorship network connecting the top 25 collaborators of Gérard Slama. A scholar is included among the top collaborators of Gérard Slama 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 Gérard Slama. Gérard Slama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 236 | |
| 3 | 93 | |
| 4 | 35 | |
| 5 | 58 | |
| 6 | 29 | |
| 7 | 5 | |
| 8 | 95 | |
| 9 | 62 | |
| 10 | 120 | |
| 11 | 79 | |
| 12 | 18 | |
| 13 | 117 | |
| 14 | 82 | |
| 15 | 42 | |
| 16 | 91 | |
| 17 | 23 | |
| 18 | 29 | |
| 19 | 9 | |
| 20 | 0 |
About Gérard Slama
Gérard Slama is a scholar working on Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Physiology, having authored 45 papers that have together received 2.5k indexed citations. Recurring topics across this work include Diet and metabolism studies (16 papers), Diet, Metabolism, and Disease (14 papers) and Food composition and properties (9 papers). The work is most often cited by research in Nutrition and Dietetics (1.1k citations), Endocrinology, Diabetes and Metabolism (899 citations) and Physiology (1.2k citations). Gérard Slama has collaborated with scholars based in France, Canada and Switzerland. Frequent co-authors include Salwa W. Rizkalla, Jing Luo, Morvarid Kabir, J. Boillot, Hubert Vidal, F. Bruzzo, Michèle Guerre-Millo, Francis Bornet, Nathalie Pacher and Annie Quignard‐Boulangé. Their work appears in journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.