Charlotte Guigné
- Pharmacology top 0.5%
- Surgery top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Physiology top 5%
- Molecular Biology
- Co-authors
- Philippe ValetDanièle DaviaudIsabelle Castan‐LaurellChristian CarpénéJérémie BoucherJean Sébastien Saulnier‐BlacheStéphane GestaCédric Dray
- Topics
- Apelin-related biomedical research (8 papers)Cardiovascular, Neuropeptides, and Oxidative Stress Research (6 papers)Nuclear Receptors and Signaling (4 papers)
- Partner nations
- FranceUnited StatesNetherlands
In The Last Decade
Charlotte Guigné
17 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Pharmacology 1.2k
- Surgery 842
- Cardiology and Cardiovascular Medicine 567
- Physiology 526
- Molecular Biology 433
Countries citing papers authored by Charlotte Guigné
This map shows the geographic impact of Charlotte Guigné'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 Charlotte Guigné with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charlotte Guigné more than expected).
Fields of papers citing papers by Charlotte Guigné
This network shows the impact of papers produced by Charlotte Guigné. 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 Charlotte Guigné. The network helps show where Charlotte Guigné may publish in the future.
Co-authorship network of co-authors of Charlotte Guigné
This figure shows the co-authorship network connecting the top 25 collaborators of Charlotte Guigné. A scholar is included among the top collaborators of Charlotte Guigné 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 Charlotte Guigné. Charlotte Guigné is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 51 | |
| 2 | 152 | |
| 3 | 1 | |
| 4 | 133 | |
| 5 | 2 | |
| 6 | 392 | |
| 7 | 24 | |
| 8 | 17 | |
| 9 | 16 | |
| 10 | 105 | |
| 11 | 65 | |
| 12 | 181 | |
| 13 | 59 | |
| 14 | 20 | |
| 15 | 121 | |
| 16 | 35 | |
| 17 | Apelin, a Newly Identified Adipokine Up-Regulated by Insulin and Obesitybreakdown → | 722 |
About Charlotte Guigné
Charlotte Guigné is a scholar working on Pharmacology, Biochemistry and Endocrine and Autonomic Systems, having authored 17 papers that have together received 2.1k indexed citations. Recurring topics across this work include Apelin-related biomedical research (8 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (6 papers) and Nuclear Receptors and Signaling (4 papers). The work is most often cited by research in Pharmacology (1.2k citations), Cardiology and Cardiovascular Medicine (567 citations) and Endocrine and Autonomic Systems (162 citations). Charlotte Guigné has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Philippe Valet, Danièle Daviaud, Isabelle Castan‐Laurell, Christian Carpéné, Jérémie Boucher, Jean Sébastien Saulnier‐Blache, Stéphane Gesta, Cédric Dray, Anne Mazzucotelli and Yves Audigier. Their work appears in journals such as Journal of Biological Chemistry, Cell Metabolism and The FASEB Journal.
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.