Peter Drückes

780 total citations
9 papers, 596 citations indexed

About

Peter Drückes is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Peter Drückes has authored 9 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Organic Chemistry. Recurrent topics in Peter Drückes's work include Melanoma and MAPK Pathways (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Bioactive Compounds and Antitumor Agents (1 paper). Peter Drückes is often cited by papers focused on Melanoma and MAPK Pathways (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Bioactive Compounds and Antitumor Agents (1 paper). Peter Drückes collaborates with scholars based in Switzerland, France and United States. Peter Drückes's co-authors include Gebhard Thoma, Hans‐Günter Zerwes, Claude Haan, Iris Behrmann, Friedrich Raulf, Catherine Rolvering, Iduna Fichtner, Didier Rognan, Joachim Drevs and Felix Kratz and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Peter Drückes

9 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Drückes Switzerland 9 262 240 96 89 86 9 596
Mariana Scaranti Brazil 9 269 1.0× 323 1.3× 101 1.1× 73 0.8× 31 0.4× 25 832
Cinzia Borghese Italy 16 265 1.0× 460 1.9× 60 0.6× 288 3.2× 117 1.4× 26 850
Murali K. Ravoori United States 12 455 1.7× 198 0.8× 69 0.7× 47 0.5× 40 0.5× 20 734
Naike Casagrande Italy 16 308 1.2× 538 2.2× 57 0.6× 367 4.1× 127 1.5× 24 974
M. Emmy M. Dolman Netherlands 18 416 1.6× 195 0.8× 74 0.8× 40 0.4× 23 0.3× 43 728
Celine Shi United States 11 807 3.1× 200 0.8× 34 0.4× 122 1.4× 61 0.7× 11 1.1k
Lynsey A. Huxham Canada 13 276 1.1× 300 1.3× 69 0.7× 195 2.2× 61 0.7× 15 806
A. Yu. Baryshnikov Russia 16 445 1.7× 186 0.8× 49 0.5× 90 1.0× 28 0.3× 79 704
Yonglong Zou United States 11 658 2.5× 250 1.0× 112 1.2× 105 1.2× 83 1.0× 16 1.2k
Le-Cun Xu United States 8 226 0.9× 246 1.0× 80 0.8× 42 0.5× 93 1.1× 12 608

Countries citing papers authored by Peter Drückes

Since Specialization
Citations

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

Fields of papers citing papers by Peter Drückes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Drückes

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

All Works

9 of 9 papers shown
1.
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
2.
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
3.
Bold, Guido, Christian Schnell, Pascal Furet, et al.. (2015). A Novel Potent Oral Series of VEGFR2 Inhibitors Abrogate Tumor Growth by Inhibiting Angiogenesis. Journal of Medicinal Chemistry. 59(1). 132–146. 34 indexed citations
4.
Thoma, Gebhard, Joachim Blanz, Peter Bühlmayer, et al.. (2014). Syk inhibitors with high potency in presence of blood. Bioorganic & Medicinal Chemistry Letters. 24(10). 2278–2282. 17 indexed citations
5.
Thoma, Gebhard, Peter Drückes, & Hans‐Günter Zerwes. (2014). Selective inhibitors of the Janus kinase Jak3—Are they effective?. Bioorganic & Medicinal Chemistry Letters. 24(19). 4617–4621. 41 indexed citations
6.
Günther, Marcel, Silke M. Bauer, Eva Döring, et al.. (2014). Tetra-Substituted Pyridinylimidazoles As Dual Inhibitors of p38α Mitogen-Activated Protein Kinase and c-Jun N-Terminal Kinase 3 for Potential Treatment of Neurodegenerative Diseases. Journal of Medicinal Chemistry. 58(1). 443–456. 43 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.
Haan, Claude, Catherine Rolvering, Friedrich Raulf, et al.. (2011). Jak1 Has a Dominant Role over Jak3 in Signal Transduction through γc-Containing Cytokine Receptors. Chemistry & Biology. 18(3). 314–323. 154 indexed citations
9.

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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2026