D. Lacasa
- Physiology top 10%
- Molecular Biology
- Epidemiology
- Cardiology and Cardiovascular Medicine
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Yves GiudicelliBrigitte AgliKarine ClémentEsther Garcı́aChristine RouaultMichel LacasaVanessa PellegrinelliChristophe Klein
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (10 papers)Adipose Tissue and Metabolism (10 papers)Metabolism, Diabetes, and Cancer (4 papers)
- Partner nations
- FranceUnited StatesSweden
In The Last Decade
D. Lacasa
19 papers receiving 481 citations
Peers
Comparison fields: 5 of 73
- Physiology 245
- Molecular Biology 182
- Epidemiology 136
- Cardiology and Cardiovascular Medicine 66
- Endocrinology, Diabetes and Metabolism 65
Countries citing papers authored by D. Lacasa
This map shows the geographic impact of D. Lacasa'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 D. Lacasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Lacasa more than expected).
Fields of papers citing papers by D. Lacasa
This network shows the impact of papers produced by D. Lacasa. 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 D. Lacasa. The network helps show where D. Lacasa may publish in the future.
Co-authorship network of co-authors of D. Lacasa
This figure shows the co-authorship network connecting the top 25 collaborators of D. Lacasa. A scholar is included among the top collaborators of D. Lacasa 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 D. Lacasa. D. Lacasa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 104 | |
| 2 | 28 | |
| 3 | 37 | |
| 4 | [Is obesity an inflammatory disease?]. | 8 |
| 5 | 27 | |
| 6 | Monitoring the dynamic of interaction between the insulin receptor and protein tyrosine phosphatase-1B in living cells using BRET (bioluminescence resonance energy transfer) | 0 |
| 7 | 9 | |
| 8 | 32 | |
| 9 | 30 | |
| 10 | 32 | |
| 11 | 10 | |
| 12 | 16 | |
| 13 | 9 | |
| 14 | 36 | |
| 15 | 16 | |
| 16 | 27 | |
| 17 | 28 | |
| 18 | 20 | |
| 19 | "Spare" beta-adrenergic receptors of rat white adipocyte membranes. | 12 |
| 20 | 8 |
About D. Lacasa
D. Lacasa is a scholar working on Endocrine and Autonomic Systems, Physiology and Animal Science and Zoology, having authored 20 papers that have together received 489 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (10 papers), Adipose Tissue and Metabolism (10 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Physiology (245 citations), Endocrine and Autonomic Systems (41 citations) and Behavioral Neuroscience (14 citations). D. Lacasa has collaborated with scholars based in France, United States and Sweden. Frequent co-authors include Yves Giudicelli, Brigitte Agli, Karine Clément, Esther Garcı́a, Christine Rouault, Michel Lacasa, Vanessa Pellegrinelli, Christophe Klein, Marie‐Noëlle Dieudonné and Olivia du Roure. Their work appears in journals such as Biochemical and Biophysical Research Communications, Endocrinology and Journal of Lipid Research.
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.