Antoine Koehl
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computational Theory and Mathematics top 5%
- Spectroscopy top 10%
- Co-authors
- Aashish ManglikSanduo ZhengAndrew C. KruseHayden R. SchmidtBrian K. KobilkaHongli HuGeorgios SkiniotisDaniel Hilger
- Topics
- Receptor Mechanisms and Signaling (5 papers)Protein Structure and Dynamics (4 papers)Neuroscience and Neuropharmacology Research (3 papers)
- Partner nations
- United StatesSwitzerlandBelgium
In The Last Decade
Antoine Koehl
14 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 655
- Radiology, Nuclear Medicine and Imaging 138
- Computational Theory and Mathematics 91
- Spectroscopy 88
Countries citing papers authored by Antoine Koehl
This map shows the geographic impact of Antoine Koehl'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 Antoine Koehl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antoine Koehl more than expected).
Fields of papers citing papers by Antoine Koehl
This network shows the impact of papers produced by Antoine Koehl. 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 Antoine Koehl. The network helps show where Antoine Koehl may publish in the future.
Co-authorship network of co-authors of Antoine Koehl
This figure shows the co-authorship network connecting the top 25 collaborators of Antoine Koehl. A scholar is included among the top collaborators of Antoine Koehl 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 Antoine Koehl. Antoine Koehl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 19 | |
| 4 | 31 | |
| 5 | 12 | |
| 6 | Transferability of Geometric Patterns from Protein Self-Interactions to Protein-Ligand Interactions. | 1 |
| 7 | 2 | |
| 8 | 27 | |
| 9 | 228 | |
| 10 | 153 | |
| 11 | Structure of the µ-opioid receptor–Gi protein complexbreakdown → | 495 |
| 12 | Crystal structure of the human σ1 receptorbreakdown → | 384 |
| 13 | 54 | |
| 14 | 19 | |
| 15 | 20 |
About Antoine Koehl
Antoine Koehl is a scholar working on Structural Biology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Protein Structure and Dynamics (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (655 citations), Structural Biology (38 citations) and Molecular Biology (1.3k citations). Antoine Koehl has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Aashish Manglik, Sanduo Zheng, Andrew C. Kruse, Hayden R. Schmidt, Brian K. Kobilka, Hongli Hu, Georgios Skiniotis, Daniel Hilger, Hugues Matile and Roger Dawson. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.