Guillaume Lebon
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 1%
- Physiology top 0.5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Christopher G. TateAJ VenkatakrishnanM. Madan BabuXavier DeupíGebhard F. X. SchertlerK.A. BennettTony WarnePatricia C. Edwards
- Topics
- Receptor Mechanisms and Signaling (20 papers)Neuropeptides and Animal Physiology (11 papers)Adenosine and Purinergic Signaling (7 papers)
- Partner nations
- United KingdomFranceSpain
In The Last Decade
Guillaume Lebon
24 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 2.5k
- Cellular and Molecular Neuroscience 1.3k
- Physiology 465
- Radiology, Nuclear Medicine and Imaging 420
- Computational Theory and Mathematics 259
Countries citing papers authored by Guillaume Lebon
This map shows the geographic impact of Guillaume Lebon'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 Guillaume Lebon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillaume Lebon more than expected).
Fields of papers citing papers by Guillaume Lebon
This network shows the impact of papers produced by Guillaume Lebon. 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 Guillaume Lebon. The network helps show where Guillaume Lebon may publish in the future.
Co-authorship network of co-authors of Guillaume Lebon
This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Lebon. A scholar is included among the top collaborators of Guillaume Lebon 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 Guillaume Lebon. Guillaume Lebon 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 | 10 | |
| 3 | 0 | |
| 4 | 55 | |
| 5 | 1 | |
| 6 | 19 | |
| 7 | 71 | |
| 8 | 72 | |
| 9 | 2 | |
| 10 | 110 | |
| 11 | 58 | |
| 12 | Molecular signatures of G-protein-coupled receptorsbreakdown → | 1161 |
| 13 | 73 | |
| 14 | 75 | |
| 15 | 9 | |
| 16 | 103 | |
| 17 | Agonist-bound adenosine A2A receptor structures reveal common features of GPCR activationbreakdown → | 700 |
| 18 | 19 | |
| 19 | 42 | |
| 20 | 22 |
About Guillaume Lebon
Guillaume Lebon is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 25 papers that have together received 2.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (20 papers), Neuropeptides and Animal Physiology (11 papers) and Adenosine and Purinergic Signaling (7 papers). The work is most often cited by research in Physiology (465 citations), Cellular and Molecular Neuroscience (1.3k citations) and Molecular Biology (2.5k citations). Guillaume Lebon has collaborated with scholars based in United Kingdom, France and Spain. Frequent co-authors include Christopher G. Tate, AJ Venkatakrishnan, M. Madan Babu, Xavier Deupí, Gebhard F. X. Schertler, K.A. Bennett, Tony Warne, Patricia C. Edwards, Andrew G. W. Leslie and Christopher J. Langmead. Their work appears in journals such as Nature, Nature Communications and Journal of Molecular Biology.
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.