Uwe Grether

2.8k total citations · 1 hit paper
67 papers, 1.3k citations indexed

About

Uwe Grether is a scholar working on Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Uwe Grether has authored 67 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 33 papers in Pharmacology and 18 papers in Cellular and Molecular Neuroscience. Recurrent topics in Uwe Grether's work include Cannabis and Cannabinoid Research (33 papers), Pharmacological Receptor Mechanisms and Effects (14 papers) and Computational Drug Discovery Methods (11 papers). Uwe Grether is often cited by papers focused on Cannabis and Cannabinoid Research (33 papers), Pharmacological Receptor Mechanisms and Effects (14 papers) and Computational Drug Discovery Methods (11 papers). Uwe Grether collaborates with scholars based in Switzerland, Germany and United States. Uwe Grether's co-authors include Herbert Waldmann, Frank Stieber, Bernd Kuhn, Peter Mohr, Jörg Benz, Christoph Ullmer, Rainer E. Martin, Markus Meyer, Mario van der Stelt and Alfred Binggeli and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Uwe Grether

60 papers receiving 1.3k citations

Hit Papers

Goods and Bads of the Endocannabinoid System as a Therape... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Uwe Grether Switzerland 21 715 377 343 225 174 67 1.3k
Andrew W. Stamford United States 22 604 0.8× 187 0.5× 479 1.4× 245 1.1× 216 1.2× 51 1.5k
Jen‐Shin Song Taiwan 22 625 0.9× 156 0.4× 346 1.0× 132 0.6× 133 0.8× 58 1.4k
Jens‐Uwe Peters Switzerland 17 737 1.0× 150 0.4× 328 1.0× 355 1.6× 349 2.0× 38 1.3k
Jana Sopková‐de Oliveira Santos France 24 845 1.2× 422 1.1× 982 2.9× 116 0.5× 351 2.0× 122 2.1k
Paul C. Trippier United States 21 802 1.1× 224 0.6× 827 2.4× 123 0.5× 116 0.7× 55 1.8k
Régis Millet France 20 663 0.9× 373 1.0× 501 1.5× 204 0.9× 56 0.3× 71 1.4k
J. Guy Breitenbucher United States 26 833 1.2× 763 2.0× 663 1.9× 322 1.4× 85 0.5× 50 2.1k
Rita Scarpelli Italy 25 1.0k 1.4× 502 1.3× 600 1.7× 129 0.6× 160 0.9× 48 2.0k
Anthony J. Roecker United States 20 748 1.0× 280 0.7× 881 2.6× 127 0.6× 73 0.4× 28 2.2k
Soosung Kang South Korea 21 704 1.0× 99 0.3× 374 1.1× 259 1.2× 122 0.7× 54 1.4k

Countries citing papers authored by Uwe Grether

Since Specialization
Citations

This map shows the geographic impact of Uwe Grether'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 Uwe Grether with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uwe Grether more than expected).

Fields of papers citing papers by Uwe Grether

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uwe Grether. 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 Uwe Grether. The network helps show where Uwe Grether may publish in the future.

Co-authorship network of co-authors of Uwe Grether

This figure shows the co-authorship network connecting the top 25 collaborators of Uwe Grether. A scholar is included among the top collaborators of Uwe Grether 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 Uwe Grether. Uwe Grether is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kuhaudomlarp, Sakonwan, Annabelle Varrot, Anne Imberty, et al.. (2025). The Parkinson's Disease Drug Tolcapone and Analogues are Potent Glycomimetic Lectin Inhibitors of Pseudomonas aeruginosa LecA. Angewandte Chemie International Edition. 64(50). e202508864–e202508864.
2.
Miljuš, Tamara, Tomasz Maciej Stępniewski, Franziska M. Heydenreich, et al.. (2025). Multiple intramolecular triggers converge to preferential G protein coupling in the CB2R. Nature Communications. 16(1). 5265–5265. 1 indexed citations
3.
Geary, Nori, Wolfgang Guba, Yuan‐Ping Han, et al.. (2025). Biased Signaling and Its Role in the Genesis of Short- and Long-Acting β2-Adrenoceptor Agonists. Biochemistry. 64(16). 3585–3598.
4.
Zheng, Ming‐Qiang, Jiwei Gu, Claudia Keller, et al.. (2024). Exploration of (R)-[11C]YH168 as a PET tracer for imaging monoacylglycerol lipase in the brain: from mice to non-human primates. European Journal of Nuclear Medicine and Molecular Imaging. 52(4). 1556–1565. 1 indexed citations
5.
Sarott, Roman C., David A. Sykes, Rosa Maria Vitale, et al.. (2024). Flipping the GPCR Switch: Structure-Based Development of Selective Cannabinoid Receptor 2 Inverse Agonists. ACS Central Science. 10(5). 956–968. 9 indexed citations
6.
Keller, Claudia, Dominik Heer, Ludovic Collin, et al.. (2024). Preclinical Evaluation of the Reversible Monoacylglycerol Lipase PET Tracer (R)‐[11C]YH132: Application in Drug Development and Neurodegenerative Diseases. ChemBioChem. 25(7). e202300819–e202300819. 2 indexed citations
7.
Atz, Kenneth, Leandro Cotos, Clemens Isert, et al.. (2024). Prospective de novo drug design with deep interactome learning. Nature Communications. 15(1). 3408–3408. 44 indexed citations
8.
Atz, Kenneth, Alex T. Müller, Andrea Anelli, et al.. (2024). Geometric deep learning-guided Suzuki reaction conditions assessment for applications in medicinal chemistry. RSC Medicinal Chemistry. 15(7). 2310–2321. 4 indexed citations
9.
Guba, Wolfgang, et al.. (2023). Development of a membrane-based Gi-CASE biosensor assay for profiling compounds at cannabinoid receptors. Frontiers in Pharmacology. 14. 1158091–1158091. 2 indexed citations
10.
Atz, Kenneth, Alex T. Müller, Georg Wuitschik, et al.. (2023). Enabling late-stage drug diversification by high-throughput experimentation with geometric deep learning. Nature Chemistry. 16(2). 239–248. 50 indexed citations
11.
Sykes, David A., Rosa Maria Vitale, Roman C. Sarott, et al.. (2023). Platform Reagents Enable Synthesis of Ligand-Directed Covalent Probes: Study of Cannabinoid Receptor 2 in Live Cells. Journal of the American Chemical Society. 145(28). 15094–15108. 20 indexed citations
12.
Atz, Kenneth, Alex T. Müller, Clemens Isert, et al.. (2023). Identifying opportunities for late-stage C-H alkylation with high-throughput experimentation and in silico reaction screening. Communications Chemistry. 6(1). 256–256. 8 indexed citations
13.
Nazaré, Marc & Uwe Grether. (2023). Visualizing the anti-inflammatory cannabinoid Type-2 receptor. 38(1). 30–31. 1 indexed citations
14.
Grether, Uwe, Jörg Benz, Dominik Heer, et al.. (2022). Development of High Brain-Penetrant and Reversible Monoacylglycerol Lipase PET Tracers for Neuroimaging. Journal of Medicinal Chemistry. 65(3). 2191–2207. 10 indexed citations
15.
Carreira, Erick M., et al.. (2022). Reverse-Design toward Optimized Labeled Chemical Probes – Examples from the Endocannabinoid System. CHIMIA International Journal for Chemistry. 76(5). 425–425. 8 indexed citations
16.
Westphal, Matthias V., Roman C. Sarott, Wolfgang Guba, et al.. (2020). Highly Selective, Amine‐Derived Cannabinoid Receptor 2 Probes. Chemistry - A European Journal. 26(6). 1380–1387. 19 indexed citations
17.
Soethoudt, Marjolein, Sara Christina Stolze, Matthias V. Westphal, et al.. (2018). Selective Photoaffinity Probe That Enables Assessment of Cannabinoid CB2 Receptor Expression and Ligand Engagement in Human Cells. Journal of the American Chemical Society. 140(19). 6067–6075. 71 indexed citations
18.
Grether, Uwe, Werner Klaus, Bernd Kuhn, et al.. (2010). New Insights on the Mechanism of PPAR‐targeted Drugs. ChemMedChem. 5(12). 1973–1976. 11 indexed citations
19.
Grether, Uwe & Herbert Waldmann. (2000). Ein enzymlabiler Safety-Catch-Anker für die kombinatorische Synthese an einem löslichen polymeren Träger. Angewandte Chemie. 112(9). 1688–1691. 12 indexed citations
20.
Grether, Uwe & Herbert Waldmann. (2000). An Enzyme-Labile Safety Catch Linker for Combinatorial Synthesis on a Soluble Polymeric Support. Angewandte Chemie International Edition. 39(9). 1629–1632. 35 indexed citations

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.

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