Danièle Dubois‐Laforgue
- Genetics top 2%
- Surgery top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 2%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- José TimsitChristine Bellanné‐ChantelotGilberto VelhoChristian BoîtardJean–François GautierCécile Saint‐MartinSéverine ClauinDominique Chauveau
- Topics
- Diabetes and associated disorders (27 papers)Pancreatic function and diabetes (25 papers)Diabetes Management and Research (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnnals of Internal MedicinePLoS ONE
- Partner nations
- FranceDenmarkUnited States
In The Last Decade
Danièle Dubois‐Laforgue
52 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 81
- Genetics 945
- Surgery 916
- Molecular Biology 571
- Endocrinology, Diabetes and Metabolism 563
- Pediatrics, Perinatology and Child Health 179
Countries citing papers authored by Danièle Dubois‐Laforgue
This map shows the geographic impact of Danièle Dubois‐Laforgue'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 Danièle Dubois‐Laforgue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danièle Dubois‐Laforgue more than expected).
Fields of papers citing papers by Danièle Dubois‐Laforgue
This network shows the impact of papers produced by Danièle Dubois‐Laforgue. 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 Danièle Dubois‐Laforgue. The network helps show where Danièle Dubois‐Laforgue may publish in the future.
Co-authorship network of co-authors of Danièle Dubois‐Laforgue
This figure shows the co-authorship network connecting the top 25 collaborators of Danièle Dubois‐Laforgue. A scholar is included among the top collaborators of Danièle Dubois‐Laforgue 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 Danièle Dubois‐Laforgue. Danièle Dubois‐Laforgue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 14 | |
| 4 | 4 | |
| 5 | 33 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | 30 | |
| 9 | 30 | |
| 10 | 12 | |
| 11 | 49 | |
| 12 | 22 | |
| 13 | 18 | |
| 14 | 36 | |
| 15 | 18 | |
| 16 | 128 | |
| 17 | Un gène pour « plusieurs » diabètes | 1 |
| 18 | 17 | |
| 19 | 45 | |
| 20 | 8 |
About Danièle Dubois‐Laforgue
Danièle Dubois‐Laforgue is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Obstetrics and Gynecology, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Diabetes and associated disorders (27 papers), Pancreatic function and diabetes (25 papers) and Diabetes Management and Research (18 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (563 citations), Genetics (945 citations) and Surgery (916 citations). Danièle Dubois‐Laforgue has collaborated with scholars based in France, Denmark and United States. Frequent co-authors include José Timsit, Christine Bellanné‐Chantelot, Gilberto Velho, Christian Boîtard, Jean–François Gautier, Cécile Saint‐Martin, Séverine Clauin, Dominique Chauveau, André F. Reis and Étienne Larger. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine 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.