Christian Dina
- Genetics top 0.5%
- Endocrine and Autonomic Systems top 0.2%
- Physiology top 0.5%
- Molecular Biology top 5%
- Epidemiology top 1%
- Co-authors
- Philippe FroguelB Guy-GrandArnaud BasdevantKarine ClémentVéronique PellouxStephen EyreChristian VaissePierre Bougnères
- Topics
- Genetic Associations and Epidemiology (21 papers)Regulation of Appetite and Obesity (15 papers)Pancreatic function and diabetes (14 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Christian Dina
88 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Genetics 2.3k
- Endocrine and Autonomic Systems 2.2k
- Physiology 2.2k
- Molecular Biology 2.1k
- Epidemiology 1.6k
Countries citing papers authored by Christian Dina
This map shows the geographic impact of Christian Dina'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 Christian Dina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Dina more than expected).
Fields of papers citing papers by Christian Dina
This network shows the impact of papers produced by Christian Dina. 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 Christian Dina. The network helps show where Christian Dina may publish in the future.
Co-authorship network of co-authors of Christian Dina
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Dina. A scholar is included among the top collaborators of Christian Dina 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 Christian Dina. Christian Dina 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 | 3 | |
| 3 | 16 | |
| 4 | 17 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 15 | |
| 9 | 135 | |
| 10 | 90 | |
| 11 | 170 | |
| 12 | 16 | |
| 13 | 23 | |
| 14 | 9 | |
| 15 | 39 | |
| 16 | 46 | |
| 17 | Genomewide Search for Type 2 Diabetes–Susceptibility Genes in French Whites: Evidence for a Novel Susceptibility Locus for Early-Onset Diabetes on Chromosome 3q27-qter and Independent Replication of a Type 2–Diabetes Locus on Chromosome 1q21–q24breakdown → | 576 |
| 18 | Absence of replication in the French population of the association between beta 2/NEUROD-A45T polymorphism and type 1 diabetes. | 16 |
| 19 | 25 | |
| 20 | Diverse effects of the Dutch guidelines for a healthy diet on serum lipids of male patients with type IIA and type IIB hyperlipoproteinemia | 4 |
About Christian Dina
Christian Dina is a scholar working on Endocrine and Autonomic Systems, Genetics and Cardiology and Cardiovascular Medicine, having authored 90 papers that have together received 7.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (21 papers), Regulation of Appetite and Obesity (15 papers) and Pancreatic function and diabetes (14 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.2k citations), Genetics (2.3k citations) and Physiology (2.2k citations). Christian Dina has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Philippe Froguel, B Guy-Grand, Arnaud Basdevant, Karine Clément, Véronique Pelloux, Stephen Eyre, Christian Vaisse, Pierre Bougnères, Jean‐Marc Lacorte and Najiba Lahlou. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.