Ségolène Galandrin
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Cardiology and Cardiovascular Medicine
- Computational Theory and Mathematics top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Michel BouvierCéline GalèsJean‐Michel SénardStéphanie M. PontierColette DenisAndreas BreitYann PercherancierMarie‐Hélène Séguélas
- Topics
- Receptor Mechanisms and Signaling (10 papers)Neuropeptides and Animal Physiology (6 papers)Computational Drug Discovery Methods (3 papers)
In The Last Decade
Ségolène Galandrin
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 889
- Cellular and Molecular Neuroscience 518
- Cardiology and Cardiovascular Medicine 117
- Computational Theory and Mathematics 107
- Radiology, Nuclear Medicine and Imaging 97
Countries citing papers authored by Ségolène Galandrin
This map shows the geographic impact of Ségolène Galandrin'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 Ségolène Galandrin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ségolène Galandrin more than expected).
Fields of papers citing papers by Ségolène Galandrin
This network shows the impact of papers produced by Ségolène Galandrin. 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 Ségolène Galandrin. The network helps show where Ségolène Galandrin may publish in the future.
Co-authorship network of co-authors of Ségolène Galandrin
This figure shows the co-authorship network connecting the top 25 collaborators of Ségolène Galandrin. A scholar is included among the top collaborators of Ségolène Galandrin 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 Ségolène Galandrin. Ségolène Galandrin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 22 | |
| 3 | 12 | |
| 4 | 9 | |
| 5 | 82 | |
| 6 | 76 | |
| 7 | 68 | |
| 8 | 25 | |
| 9 | 49 | |
| 10 | 104 | |
| 11 | 74 | |
| 12 | 287 | |
| 13 | 232 |
About Ségolène Galandrin
Ségolène Galandrin is a scholar working on Cellular and Molecular Neuroscience, Computational Theory and Mathematics and Molecular Biology, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (6 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (518 citations), Molecular Biology (889 citations) and Endocrine and Autonomic Systems (47 citations). Ségolène Galandrin has collaborated with scholars based in France, Canada and Denmark. Frequent co-authors include Michel Bouvier, Céline Galès, Jean‐Michel Sénard, Stéphanie M. Pontier, Colette Denis, Andreas Breit, Yann Percherancier, Marie‐Hélène Séguélas, Koji Ogawa and Hélène Bonin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Scientific Reports.
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.