Stéphanie Baron
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Thomas J. BurkholderRichard L. LieberMarie CourbebaisseGérard FriedlanderEve M. LepicardValérie Nivet‐AntoineDaniel HenrionAudrey Ayer
- Topics
- Hormonal Regulation and Hypertension (14 papers)Ion Transport and Channel Regulation (9 papers)Adrenal and Paraganglionic Tumors (9 papers)
- Journals
- Journal of Biological ChemistryPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Stéphanie Baron
50 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 650
- Endocrinology, Diabetes and Metabolism 350
- Physiology 311
- Surgery 281
- Pulmonary and Respiratory Medicine 204
Countries citing papers authored by Stéphanie Baron
This map shows the geographic impact of Stéphanie Baron'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 Stéphanie Baron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphanie Baron more than expected).
Fields of papers citing papers by Stéphanie Baron
This network shows the impact of papers produced by Stéphanie Baron. 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 Stéphanie Baron. The network helps show where Stéphanie Baron may publish in the future.
Co-authorship network of co-authors of Stéphanie Baron
This figure shows the co-authorship network connecting the top 25 collaborators of Stéphanie Baron. A scholar is included among the top collaborators of Stéphanie Baron 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 Stéphanie Baron. Stéphanie Baron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 27 | |
| 10 | 14 | |
| 11 | 14 | |
| 12 | 12 | |
| 13 | 68 | |
| 14 | 6 | |
| 15 | 36 | |
| 16 | 24 | |
| 17 | 70 | |
| 18 | 123 | |
| 19 | 17 | |
| 20 | 11 |
About Stéphanie Baron
Stéphanie Baron is a scholar working on Geriatrics and Gerontology, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (14 papers), Ion Transport and Channel Regulation (9 papers) and Adrenal and Paraganglionic Tumors (9 papers). The work is most often cited by research in Geriatrics and Gerontology (124 citations), Endocrinology, Diabetes and Metabolism (350 citations) and Nephrology (143 citations). Stéphanie Baron has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Thomas J. Burkholder, Richard L. Lieber, Marie Courbebaisse, Gérard Friedlander, Eve M. Lepicard, Valérie Nivet‐Antoine, Daniel Henrion, Audrey Ayer, Pascal Houillier and Emilie Vessières. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.