R. Picart
- Molecular Biology
- Cell Biology top 5%
- Cellular and Molecular Neuroscience top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Reproductive Medicine top 5%
- Co-authors
- A. Tixier‐VidalClaude TougardA Tixier-VidalDaniel LouvardF. De VitryA. Faivre‐BaumanÉvelyne Vila‐PorcileCatherine Loudes
- Topics
- Cellular transport and secretion (11 papers)Growth Hormone and Insulin-like Growth Factors (8 papers)Pancreatic function and diabetes (6 papers)
In The Last Decade
R. Picart
36 papers receiving 825 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 420
- Cell Biology 305
- Cellular and Molecular Neuroscience 209
- Endocrinology, Diabetes and Metabolism 196
- Reproductive Medicine 120
Countries citing papers authored by R. Picart
This map shows the geographic impact of R. Picart'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 R. Picart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Picart more than expected).
Fields of papers citing papers by R. Picart
This network shows the impact of papers produced by R. Picart. 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 R. Picart. The network helps show where R. Picart may publish in the future.
Co-authorship network of co-authors of R. Picart
This figure shows the co-authorship network connecting the top 25 collaborators of R. Picart. A scholar is included among the top collaborators of R. Picart 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 R. Picart. R. Picart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 25 | |
| 3 | 5 | |
| 4 | 18 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 23 | |
| 8 | 1 | |
| 9 | 29 | |
| 10 | 10 | |
| 11 | 62 | |
| 12 | 20 | |
| 13 | 26 | |
| 14 | [Role of endoplasmic reticulum in the secretion of prolactin (author's transl)]. | 1 |
| 15 | 3 | |
| 16 | 12 | |
| 17 | 66 | |
| 18 | Endocytose et sécrétion dans les cellules antéhypophysaires en culture. Action des hormones hypothalamiques | 4 |
| 19 | 54 | |
| 20 | 36 |
About R. Picart
R. Picart is a scholar working on Cell Biology, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 36 papers that have together received 900 indexed citations. Recurring topics across this work include Cellular transport and secretion (11 papers), Growth Hormone and Insulin-like Growth Factors (8 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Cell Biology (305 citations), Reproductive Medicine (120 citations) and Developmental Neuroscience (57 citations). R. Picart has collaborated with scholars based in France and Germany. Frequent co-authors include A. Tixier‐Vidal, Claude Tougard, A Tixier-Vidal, Daniel Louvard, F. De Vitry, A. Faivre‐Bauman, Évelyne Vila‐Porcile, Catherine Loudes, Bertram Wiedenmann and Alain Barret. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Biochemical and Biophysical Research Communications.
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.