Katja Vanselow

1.9k total citations
8 papers, 1.1k citations indexed

About

Katja Vanselow is a scholar working on Endocrine and Autonomic Systems, Molecular Biology and Plant Science. According to data from OpenAlex, Katja Vanselow has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrine and Autonomic Systems, 3 papers in Molecular Biology and 3 papers in Plant Science. Recurrent topics in Katja Vanselow's work include Circadian rhythm and melatonin (5 papers), Light effects on plants (3 papers) and Microtubule and mitosis dynamics (2 papers). Katja Vanselow is often cited by papers focused on Circadian rhythm and melatonin (5 papers), Light effects on plants (3 papers) and Microtubule and mitosis dynamics (2 papers). Katja Vanselow collaborates with scholars based in Germany, Denmark and Switzerland. Katja Vanselow's co-authors include Achim Kramer, Hanspeter Herzel, Pål O. Westermark, Bert Maier, Silke Reischl, Andreas Herrmann, Andreas Schlösser, Jens T. Vanselow, Thomas Korte and Dieter Kunz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and SHILAP Revista de lepidopterología.

In The Last Decade

Katja Vanselow

8 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katja Vanselow Germany 7 695 386 340 237 204 8 1.1k
Yongli Shan United States 12 624 0.9× 300 0.8× 283 0.8× 88 0.4× 212 1.0× 15 987
Teruya Tamaru Japan 16 1.1k 1.5× 393 1.0× 413 1.2× 77 0.3× 450 2.2× 24 1.4k
Elizabeth Noton United States 6 482 0.7× 262 0.7× 179 0.5× 98 0.4× 191 0.9× 6 746
Sofia I.H. Godinho United Kingdom 13 927 1.3× 322 0.8× 386 1.1× 47 0.2× 310 1.5× 13 1.4k
Jonathan D. Clayton United Kingdom 10 637 0.9× 281 0.7× 221 0.7× 41 0.2× 301 1.5× 11 981
Matsumi Hirose Japan 9 856 1.2× 257 0.7× 414 1.2× 42 0.2× 266 1.3× 11 1.1k
Rajesh Narasimamurthy Singapore 12 587 0.8× 295 0.8× 180 0.5× 60 0.3× 274 1.3× 15 1000
Jean‐Michel Fustin Japan 22 1.0k 1.5× 1.0k 2.7× 267 0.8× 44 0.2× 386 1.9× 33 2.3k
Hideki Ukai Japan 14 617 0.9× 414 1.1× 271 0.8× 25 0.1× 213 1.0× 25 1.1k
Shigeru Mitsui Japan 6 1.3k 1.9× 345 0.9× 459 1.4× 32 0.1× 553 2.7× 7 1.7k

Countries citing papers authored by Katja Vanselow

Since Specialization
Citations

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

Fields of papers citing papers by Katja Vanselow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Vanselow

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

All Works

8 of 8 papers shown
1.
Dengjel, Jörn, Maria Høyer-Hansen, Tobias Eisenberg, et al.. (2012). Identification of Autophagosome-associated Proteins and Regulators by Quantitative Proteomic Analysis and Genetic Screens. Molecular & Cellular Proteomics. 11(3). M111.014035–M111.014035. 114 indexed citations
2.
Schrøder, Jacob M., et al.. (2012). Identification and characterization of two novel centriolar appendage component proteins. SHILAP Revista de lepidopterología. 1(S1). 2 indexed citations
3.
Jakobsen, Lis, Katja Vanselow, Marie Skogs, et al.. (2011). Novel asymmetrically localizing components of human centrosomes identified by complementary proteomics methods. The EMBO Journal. 30(8). 1520–1535. 250 indexed citations
4.
Hennig, Sven, Holger M. Strauss, Katja Vanselow, et al.. (2009). Structural and Functional Analyses of PAS Domain Interactions of the Clock Proteins Drosophila PERIOD and Mouse PERIOD2. PLoS Biology. 7(4). e1000094–e1000094. 72 indexed citations
5.
Brown, Steven A., Dieter Kunz, Pål O. Westermark, et al.. (2008). Molecular insights into human daily behavior. Proceedings of the National Academy of Sciences. 105(5). 1602–1607. 204 indexed citations
6.
Vanselow, Katja & Achim Kramer. (2007). Role of Phosphorylation in the Mammalian Circadian Clock. Cold Spring Harbor Symposia on Quantitative Biology. 72(1). 167–176. 64 indexed citations
7.
Reischl, Silke, Katja Vanselow, Pål O. Westermark, et al.. (2007). β-TrCP1-Mediated Degradation of PERIOD2 Is Essential for Circadian Dynamics. Journal of Biological Rhythms. 22(5). 375–386. 143 indexed citations
8.
Vanselow, Katja, Jens T. Vanselow, Pål O. Westermark, et al.. (2006). Differential effects of PER2 phosphorylation: molecular basis for the human familial advanced sleep phase syndrome (FASPS). Genes & Development. 20(19). 2660–2672. 298 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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