Thomas Troxler

1.1k total citations
17 papers, 556 citations indexed

About

Thomas Troxler is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Thomas Troxler has authored 17 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Epidemiology. Recurrent topics in Thomas Troxler's work include Neuroendocrine Tumor Research Advances (7 papers), HER2/EGFR in Cancer Research (6 papers) and Receptor Mechanisms and Signaling (5 papers). Thomas Troxler is often cited by papers focused on Neuroendocrine Tumor Research Advances (7 papers), HER2/EGFR in Cancer Research (6 papers) and Receptor Mechanisms and Signaling (5 papers). Thomas Troxler collaborates with scholars based in Switzerland, United States and China. Thomas Troxler's co-authors include Daniël Hoyer, Konstanze Hurth, C. Gentsch, Daniela Eser, Beate Kiese, Frédérique Chaperon, Hans O. Kalkman, Christophe Drieu La Rochelle, Dietrich Tuerck and Thomas C. Baghai and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Medicinal Chemistry.

In The Last Decade

Thomas Troxler

17 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Troxler Switzerland 10 262 180 81 80 66 17 556
Svetlana Leschiner Israel 20 541 2.1× 324 1.8× 48 0.6× 174 2.2× 61 0.9× 36 1.0k
Edna Matta‐Camacho Canada 16 547 2.1× 215 1.2× 40 0.5× 114 1.4× 28 0.4× 21 869
Maria Antonietta Stasi Italy 16 361 1.4× 351 1.9× 25 0.3× 41 0.5× 50 0.8× 31 814
Catrin Wernicke Germany 18 246 0.9× 249 1.4× 51 0.6× 24 0.3× 30 0.5× 27 616
Serena Cuboni Italy 9 246 0.9× 90 0.5× 19 0.2× 53 0.7× 56 0.8× 15 499
Xinyan Huang United States 18 523 2.0× 247 1.4× 36 0.4× 31 0.4× 70 1.1× 30 911
Ji-Young Mun South Korea 14 272 1.0× 81 0.5× 22 0.3× 47 0.6× 124 1.9× 52 677
Iris Uribesalgo Spain 10 462 1.8× 165 0.9× 32 0.4× 62 0.8× 42 0.6× 10 974
Yoshifumi Kagamiishi Japan 14 304 1.2× 201 1.1× 63 0.8× 17 0.2× 40 0.6× 19 707
Nicolas Girard France 18 446 1.7× 209 1.2× 34 0.4× 36 0.5× 50 0.8× 57 1.2k

Countries citing papers authored by Thomas Troxler

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Troxler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Troxler

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

All Works

17 of 17 papers shown
1.
Shaw, Duncan, Simona Cotesta, René Lattmann, et al.. (2023). Design and Synthesis of Inhibitors of the E3 Ligase SMAD Specific E3 Ubiquitin Protein Ligase 1 as a Treatment for Lung Remodeling in Pulmonary Arterial Hypertension. Journal of Medicinal Chemistry. 66(12). 8130–8139. 3 indexed citations
2.
Troxler, Thomas, Dominik Feuerbach, Xuechun Zhang, et al.. (2019). The Discovery of LML134, a Histamine H3 Receptor Inverse Agonist for the Clinical Treatment of Excessive Sleep Disorders. ChemMedChem. 14(13). 1238–1247. 8 indexed citations
3.
Glatthar, Ralf, Aleksandar Stojanović, Thomas Troxler, et al.. (2016). Discovery of Imidazoquinolines as a Novel Class of Potent, Selective, and in Vivo Efficacious Cancer Osaka Thyroid (COT) Kinase Inhibitors. Journal of Medicinal Chemistry. 59(16). 7544–7560. 17 indexed citations
4.
Gutmann, Sascha, Alexandra Hinniger, Gabriele Fendrich, et al.. (2015). The Crystal Structure of Cancer Osaka Thyroid Kinase Reveals an Unexpected Kinase Domain Fold. Journal of Biological Chemistry. 290(24). 15210–15218. 14 indexed citations
5.
Auberson, Yves P., Thomas Troxler, Xuechun Zhang, et al.. (2014). Ergoline‐Derived Inverse Agonists of the Human H3 Receptor for the Treatment of Narcolepsy. ChemMedChem. 9(8). 1683–1696. 6 indexed citations
6.
Auberson, Yves P., Thomas Troxler, Xuechun Zhang, et al.. (2014). From Ergolines to Indoles: Improved Inhibitors of the Human H3 Receptor for the Treatment of Narcolepsy. ChemMedChem. 10(2). 266–275. 2 indexed citations
7.
Troxler, Thomas, Paulette A. Greenidge, Kaspar Zimmermann, et al.. (2013). Discovery of novel indolinone-based, potent, selective and brain penetrant inhibitors of LRRK2. Bioorganic & Medicinal Chemistry Letters. 23(14). 4085–4090. 31 indexed citations
8.
Troxler, Thomas, Konstanze Hurth, Philippe Schoeffter, et al.. (2010). Decahydroisoquinoline derivatives as novel non-peptidic, potent and subtype-selective somatostatin sst3 receptor antagonists. Bioorganic & Medicinal Chemistry Letters. 20(5). 1728–1734. 10 indexed citations
9.
Rupprecht, Rainer, Gerhard Rammes, Daniela Eser, et al.. (2009). Translocator Protein (18 kD) as Target for Anxiolytics Without Benzodiazepine-Like Side Effects. Science. 325(5939). 490–493. 272 indexed citations
10.
Troxler, Thomas, Konstanze Hurth, Henri Mattes, et al.. (2009). Discovery of novel non-peptidic β-alanine piperazine amide derivatives and their optimization to achiral, easily accessible, potent and selective somatostatin sst1 receptor antagonists. Bioorganic & Medicinal Chemistry Letters. 19(5). 1305–1309. 11 indexed citations
11.
Spanka, Carsten, Ralf Glatthar, Sandrine Desrayaud, et al.. (2009). Piperidyl amides as novel, potent and orally active mGlu5 receptor antagonists with anxiolytic-like activity. Bioorganic & Medicinal Chemistry Letters. 20(1). 184–188. 23 indexed citations
12.
Troxler, Thomas, Daniël Hoyer, Daniel Langenegger, et al.. (2007). Identification and SAR of potent and selective non-peptide obeline somatostatin sst1 receptor antagonists. Bioorganic & Medicinal Chemistry Letters. 17(14). 3983–3987. 9 indexed citations
13.
Hurth, Konstanze, Albert Enz, Philipp Floersheim, et al.. (2007). SAR of the arylpiperazine moiety of obeline somatostatin sst1 receptor antagonists. Bioorganic & Medicinal Chemistry Letters. 17(14). 3988–3991. 8 indexed citations
14.
Troxler, Thomas, Albert Enz, Daniël Hoyer, et al.. (2007). Ergoline derivatives as highly potent and selective antagonists at the somatostatin sst1 receptor. Bioorganic & Medicinal Chemistry Letters. 18(3). 979–982. 7 indexed citations
15.
Hoyer, Daniël, Caroline Nunn, Jason Hannon, et al.. (2004). SRA880, in vitro characterization of the first non-peptide somatostatin sst1 receptor antagonist. Neuroscience Letters. 361(1-3). 132–135. 28 indexed citations
16.
17.
Hannon, Jason, Caroline Nunn, Barbara Stolz, et al.. (2002). Drug Design at Peptide Receptors. Journal of Molecular Neuroscience. 18(1-2). 15–28. 91 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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