Claas A. Meyer

1.8k total citations
19 papers, 1.2k citations indexed

About

Claas A. Meyer is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Claas A. Meyer has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Oncology. Recurrent topics in Claas A. Meyer's work include Receptor Mechanisms and Signaling (5 papers), Pluripotent Stem Cells Research (4 papers) and CRISPR and Genetic Engineering (4 papers). Claas A. Meyer is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Pluripotent Stem Cells Research (4 papers) and CRISPR and Genetic Engineering (4 papers). Claas A. Meyer collaborates with scholars based in Switzerland, Germany and United States. Claas A. Meyer's co-authors include Marius C. Hoener, Joseph G. Wettstein, Bernhard Bettler, Amyaouch Bradaïa, Laurence Ozmen, Jean‐Luc Moreau, Horst Bluethmann, Florent G. Revel, Karine Jeanneau and Antonio Iglesias and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Nature Cell Biology.

In The Last Decade

Claas A. Meyer

19 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claas A. Meyer Switzerland 13 690 561 180 164 101 19 1.2k
Motohiko Takemura Japan 20 650 0.9× 520 0.9× 203 1.1× 108 0.7× 73 0.7× 70 1.3k
Hiroyuki Katagiri Japan 16 577 0.8× 707 1.3× 99 0.6× 215 1.3× 179 1.8× 23 1.6k
Rodrigo Herrera‐Molina Chile 23 603 0.9× 303 0.5× 116 0.6× 155 0.9× 40 0.4× 32 1.2k
Katrin Färber Germany 18 490 0.7× 627 1.1× 348 1.9× 260 1.6× 29 0.3× 18 1.9k
Yoshiaki Miyamoto Japan 24 674 1.0× 775 1.4× 106 0.6× 175 1.1× 82 0.8× 54 1.6k
Akira Futatsugi Japan 17 903 1.3× 540 1.0× 64 0.4× 221 1.3× 113 1.1× 22 1.4k
Michaela Kraus Austria 14 418 0.6× 339 0.6× 124 0.7× 127 0.8× 30 0.3× 28 904
Mei-Fang Xiao United States 21 539 0.8× 444 0.8× 101 0.6× 295 1.8× 53 0.5× 28 1.3k
Marcus Semtner Germany 19 461 0.7× 479 0.9× 195 1.1× 130 0.8× 18 0.2× 32 1.2k
Clotilde Lauro Italy 21 586 0.8× 420 0.7× 562 3.1× 230 1.4× 25 0.2× 33 1.9k

Countries citing papers authored by Claas A. Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Claas A. Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claas A. Meyer. 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 Claas A. Meyer. The network helps show where Claas A. Meyer may publish in the future.

Co-authorship network of co-authors of Claas A. Meyer

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

All Works

19 of 19 papers shown
1.
Hatje, Klas, et al.. (2020). Profiling of naïve and primed human pluripotent stem cells reveals state-associated miRNAs. Scientific Reports. 10(1). 10542–10542. 12 indexed citations
2.
3.
Roudnicky, Filip, Bo Kyoung Kim, Roland Schmucki, et al.. (2020). Identification of a combination of transcription factors that synergistically increases endothelial cell barrier resistance. Scientific Reports. 10(1). 3886–3886. 34 indexed citations
4.
Roudnicky, Filip, Max Friesen, Gregor Dernick, et al.. (2019). Modeling the Effects of Severe Metabolic Disease by Genome Editing of hPSC-Derived Endothelial Cells Reveals an Inflammatory Phenotype. International Journal of Molecular Sciences. 20(24). 6201–6201. 3 indexed citations
5.
Weber, Felix, Claas A. Meyer, Jens Niewoehner, et al.. (2018). First Infusion Reactions are Mediated by FcγRIIIb and Neutrophils. Pharmaceutical Research. 35(9). 169–169. 10 indexed citations
6.
Harmeier, Anja, Claas A. Meyer, Andreas Staempfli, et al.. (2018). How Female Mice Attract Males: A Urinary Volatile Amine Activates a Trace Amine-Associated Receptor That Induces Male Sexual Interest. Frontiers in Pharmacology. 9. 924–924. 15 indexed citations
7.
Meyer, Claas A., Stefan Aigner, Klaus Christensen, et al.. (2017). Generation of a homozygous GBA deletion human embryonic stem cell line. Stem Cell Research. 23. 122–126. 3 indexed citations
8.
Harmeier, Anja, Claas A. Meyer, Florent G. Revel, et al.. (2015). Trace amine-associated receptor 1 activation silences GSK3β signaling of TAAR1 and D2R heteromers. European Neuropsychopharmacology. 25(11). 2049–2061. 100 indexed citations
9.
Moisan, Annie, Youn‐Kyoung Lee, Jitao David Zhang, et al.. (2014). White-to-brown metabolic conversion of human adipocytes by JAK inhibition. Nature Cell Biology. 17(1). 57–67. 141 indexed citations
10.
Bessa, Juliana, Claas A. Meyer, Maria Cristina De Vera Mudry, et al.. (2014). Altered subcellular localization of IL-33 leads to non-resolving lethal inflammation. Journal of Autoimmunity. 55. 33–41. 130 indexed citations
11.
Revel, Florent G., Claas A. Meyer, Amyaouch Bradaïa, et al.. (2012). Brain-Specific Overexpression of Trace Amine-Associated Receptor 1 Alters Monoaminergic Neurotransmission and Decreases Sensitivity to Amphetamine. Neuropsychopharmacology. 37(12). 2580–2592. 84 indexed citations
12.
Revel, Florent G., Jean‐Luc Moreau, Raul R. Gainetdinov, et al.. (2011). TAAR1 activation modulates monoaminergic neurotransmission, preventing hyperdopaminergic and hypoglutamatergic activity. Proceedings of the National Academy of Sciences. 108(20). 8485–8490. 274 indexed citations
13.
Samy, Eileen T., Claas A. Meyer, Patrick Caplazi, et al.. (2007). Cutting Edge: Modulation of Intestinal Autoimmunity and IL-2 Signaling by Sphingosine Kinase 2 Independent of Sphingosine 1-Phosphate. The Journal of Immunology. 179(9). 5644–5648. 38 indexed citations
14.
Lindemann, Lothar, Claas A. Meyer, Karine Jeanneau, et al.. (2007). Trace Amine-Associated Receptor 1 Modulates Dopaminergic Activity. Journal of Pharmacology and Experimental Therapeutics. 324(3). 948–956. 258 indexed citations
15.
Meyer, Claas A., Susanne Neschen, Robert Augustin, et al.. (2006). Ablation of cholesterol transporter ABCG1 in mice reduces adipose cell size and corrects diet-induced insulin resistance. Aktuelle Ernährungsmedizin. 31(5). 1 indexed citations
16.
Emmerich, Jan, Claas A. Meyer, Aida Flor A. de la Cruz, Bruce A. Edgar, & Christian F. Lehner. (2004). Cyclin D Does Not Provide Essential Cdk4-Independent Functions in Drosophila. Genetics. 168(2). 867–875. 28 indexed citations
17.
Meyer, Claas A., Henning W. Jacobs, & Christian F. Lehner. (2002). Cyclin D-Cdk4 Is Not a Master Regulator of Cell Multiplication in Drosophila Embryos. Current Biology. 12(8). 661–666. 22 indexed citations
18.
19.
Lehner, Christian F., Henning W. Jacobs, Karsten Sauer, & Claas A. Meyer. (2001). Regulation of the Embryonic Cell Proliferation by Drosophila Cyclin D and Cylclin E Complexes. Novartis Foundation symposium. 237. 43–57. 6 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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