Ludovic Galas
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Oncology top 10%
- Surgery top 10%
- Endocrine and Autonomic Systems top 2%
- Co-authors
- Hubert VaudryDavid VaudryAlain FournierAnthony Falluel‐MorelMagali BasilleSteve BourgaultDelphine BurelOlivier Wurtz
- Topics
- Neuropeptides and Animal Physiology (29 papers)Regulation of Appetite and Obesity (14 papers)Receptor Mechanisms and Signaling (14 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Ludovic Galas
88 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 1.6k
- Cellular and Molecular Neuroscience 1.4k
- Oncology 381
- Surgery 369
- Endocrine and Autonomic Systems 366
Countries citing papers authored by Ludovic Galas
This map shows the geographic impact of Ludovic Galas'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 Ludovic Galas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ludovic Galas more than expected).
Fields of papers citing papers by Ludovic Galas
This network shows the impact of papers produced by Ludovic Galas. 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 Ludovic Galas. The network helps show where Ludovic Galas may publish in the future.
Co-authorship network of co-authors of Ludovic Galas
This figure shows the co-authorship network connecting the top 25 collaborators of Ludovic Galas. A scholar is included among the top collaborators of Ludovic Galas 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 Ludovic Galas. Ludovic Galas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 23 | |
| 4 | 7 | |
| 5 | 259 | |
| 6 | 5 | |
| 7 | 373 | |
| 8 | 59 | |
| 9 | 72 | |
| 10 | 11 | |
| 11 | Pituitary Adenylate Cyclase-Activating Polypeptide and Its Receptors: 20 Years after the Discoverybreakdown → | 880 |
| 12 | 9 | |
| 13 | 58 | |
| 14 | 103 | |
| 15 | 40 | |
| 16 | 6 | |
| 17 | 29 | |
| 18 | 14 | |
| 19 | 27 | |
| 20 | 5 |
About Ludovic Galas
Ludovic Galas is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 88 papers that have together received 3.8k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (29 papers), Regulation of Appetite and Obesity (14 papers) and Receptor Mechanisms and Signaling (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Endocrine and Autonomic Systems (366 citations) and Behavioral Neuroscience (154 citations). Ludovic Galas has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Hubert Vaudry, David Vaudry, Alain Fournier, Anthony Falluel‐Morel, Magali Basille, Steve Bourgault, Delphine Burel, Olivier Wurtz, Hitoshi Hashimoto and Bkc Chow. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.