Guillaume Lebon
- Physiology top 0.5%
- Adenosine and Purinergic Signaling 7
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- Neuropeptides and Animal Physiology 11
- Neuroscience and Neuropharmacology Research 3
- Molecular Biology top 2%
- Receptor Mechanisms and Signaling 20
- Chemical Synthesis and Analysis 2
- Protein Structure and Dynamics 2
- Protein Kinase Regulation and GTPase Signaling 2
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- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Christopher G. TateAJ VenkatakrishnanM. Madan BabuXavier DeupíGebhard F. X. SchertlerK.A. BennettTony WarnePatricia C. Edwards
- Partner nations
- United KingdomFranceSpain
In The Last Decade
Guillaume Lebon
24 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Physiology 465
- Cellular and Molecular Neuroscience 1.3k
- Molecular Biology 2.5k
- 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
The 25 scholars most cited alongside Guillaume Lebon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2022 | 10 | |
| 3 | 2021 | 0 | |
| 4 | 2020 | 55 | |
| 5 | 2020 | 1 | |
| 6 | 2018 | 19 | |
| 7 | 2017 | 71 | |
| 8 | 2016 | 72 | |
| 9 | 2015 | 2 | |
| 10 | 2015 | 110 | |
| 11 | 2013 | 58 | |
| 12 | Molecular signatures of G-protein-coupled receptorsbreakdown → | 2013 | 1161 |
| 13 | 2012 | 73 | |
| 14 | 2012 | 75 | |
| 15 | 2012 | 9 | |
| 16 | 2011 | 103 | |
| 17 | Agonist-bound adenosine A2A receptor structures reveal common features of GPCR activationbreakdown → | 2011 | 700 |
| 18 | 2011 | 19 | |
| 19 | 2008 | 42 | |
| 20 | 2005 | 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), Adenosine and Purinergic Signaling (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Neuroscience and Neuropharmacology Research (3 papers), Chemical Synthesis and Analysis (2 papers), Protein Structure and Dynamics (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 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.