Tino Köster

1.6k total citations
26 papers, 968 citations indexed

About

Tino Köster is a scholar working on Molecular Biology, Plant Science and Electrical and Electronic Engineering. According to data from OpenAlex, Tino Köster has authored 26 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 12 papers in Plant Science and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Tino Köster's work include RNA modifications and cancer (16 papers), RNA Research and Splicing (15 papers) and Plant Molecular Biology Research (10 papers). Tino Köster is often cited by papers focused on RNA modifications and cancer (16 papers), RNA Research and Splicing (15 papers) and Plant Molecular Biology Research (10 papers). Tino Köster collaborates with scholars based in Germany, United States and United Kingdom. Tino Köster's co-authors include Dorothee Staiger, Katja Meyer, Marlene Reichel, Martin Lewinski, Jernej Ule, James Marks, Joyita Mukherjee, Claus Weinholdt, Ivo Große and Maria Katsantoni and has published in prestigious journals such as Nucleic Acids Research, The EMBO Journal and New Phytologist.

In The Last Decade

Tino Köster

24 papers receiving 963 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tino Köster Germany 14 803 393 99 57 32 26 968
Yoko Otsubo Japan 14 653 0.8× 202 0.5× 29 0.3× 19 0.3× 9 0.3× 26 798
Marlene Reichel Germany 12 411 0.5× 297 0.8× 58 0.6× 38 0.7× 13 0.4× 18 554
Bochen Jiang United States 10 562 0.7× 689 1.8× 20 0.2× 34 0.6× 9 0.3× 17 825
Cintia F. Hongay United States 6 502 0.6× 63 0.2× 136 1.4× 36 0.6× 30 0.9× 8 551
Rafał Wóycicki Canada 9 223 0.3× 147 0.4× 39 0.4× 74 1.3× 3 0.1× 21 438
Jan Van de Velde Belgium 15 528 0.7× 595 1.5× 21 0.2× 6 0.1× 7 0.2× 22 795
Bei Wu China 14 184 0.2× 417 1.1× 16 0.2× 33 0.6× 9 0.3× 42 573
Yuan Fan China 7 199 0.2× 115 0.3× 59 0.6× 12 0.2× 5 0.2× 19 346
Sargis Karapetyan United States 7 282 0.4× 448 1.1× 8 0.1× 10 0.2× 8 0.3× 8 594

Countries citing papers authored by Tino Köster

Since Specialization
Citations

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

Fields of papers citing papers by Tino Köster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tino Köster

This figure shows the co-authorship network connecting the top 25 collaborators of Tino Köster. A scholar is included among the top collaborators of Tino Köster 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 Tino Köster. Tino Köster 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.
Köster, Tino, Peter Venhuizen, Martin Lewinski, et al.. (2025). At‐ RS31 orchestrates hierarchical cross‐regulation of splicing factors and integrates alternative splicing with TOR ‐ ABA pathways. New Phytologist. 247(2). 738–759. 4 indexed citations
2.
Meyer, Katja, Martin Lewinski, Tino Köster, & Dorothee Staiger. (2025). The compendium of Arabidopsis thaliana GLYCINE-RICH RNA-BINDING PROTEIN 8 in vivo targets determined by iCLIP. Scientific Data. 12(1). 1374–1374.
3.
Lewinski, Martin, Tino Köster, Marlene Reichel, et al.. (2024). Mapping protein–RNA binding in plants with individual-nucleotide-resolution UV cross-linking and immunoprecipitation (plant iCLIP2). Nature Protocols. 19(4). 1183–1234. 7 indexed citations
4.
Reichel, Marlene, Sarah Rennie, Laura Arribas‐Hernández, et al.. (2024). ALBA proteins facilitate cytoplasmic YTHDF-mediated reading of m6A in Arabidopsis. The EMBO Journal. 43(24). 6626–6655. 1 indexed citations
5.
Reichel, Marlene, Mandy Rettel, Frank Stein, et al.. (2024). Revealing the Arabidopsis AtGRP7 mRNA binding proteome by specific enhanced RNA interactome capture. BMC Plant Biology. 24(1). 552–552.
6.
Lewinski, Martin, Christoph Schmal, Tino Köster, et al.. (2023). Arabidopsis thaliana GLYCINE RICH RNA‐BINDING PROTEIN 7 interaction with its iCLIP target LHCB1.1 correlates with changes in RNA stability and circadian oscillation. The Plant Journal. 118(1). 203–224. 10 indexed citations
7.
Arribas‐Hernández, Laura, Sarah Rennie, Tino Köster, et al.. (2021). Principles of mRNA targeting via the Arabidopsis m6A-binding protein ECT2. eLife. 10. 54 indexed citations
8.
Hafner, Markus, Maria Katsantoni, Tino Köster, et al.. (2021). CLIP and complementary methods. Nature Reviews Methods Primers. 1(1). 183 indexed citations
9.
Köster, Tino & Dorothee Staiger. (2020). RNA-Binding Protein Immunoprecipitation and High-Throughput Sequencing. Methods in molecular biology. 2200. 453–461. 6 indexed citations
10.
Lewinski, Martin, et al.. (2020). SEQing: web-based visualization of iCLIP and RNA-seq data in an interactive python framework. BMC Bioinformatics. 21(1). 113–113. 8 indexed citations
11.
Köster, Tino & Dorothee Staiger. (2020). Plant Individual Nucleotide Resolution Cross-Linking and Immunoprecipitation to Characterize RNA-Protein Complexes. Methods in molecular biology. 2166. 255–267. 4 indexed citations
12.
Köster, Tino, Marlene Reichel, & Dorothee Staiger. (2019). CLIP and RNA interactome studies to unravel genome-wide RNA-protein interactions in vivo in Arabidopsis thaliana. Methods. 178. 63–71. 16 indexed citations
13.
Köster, Tino & Katja Meyer. (2018). Plant Ribonomics: Proteins in Search of RNA Partners. Trends in Plant Science. 23(4). 352–365. 18 indexed citations
14.
Foley, Shawn W., Sager J. Gosai, Dongxue Wang, et al.. (2017). A Global View of RNA-Protein Interactions Identifies Post-transcriptional Regulators of Root Hair Cell Fate. Developmental Cell. 41(2). 204–220.e5. 43 indexed citations
15.
Köster, Tino, Claudius Marondedze, Katja Meyer, & Dorothee Staiger. (2017). RNA-Binding Proteins Revisited – The Emerging Arabidopsis mRNA Interactome. Trends in Plant Science. 22(6). 512–526. 62 indexed citations
16.
Köster, Tino, et al.. (2014). The RIPper Case: Identification of RNA-Binding Protein Targets by RNA Immunoprecipitation. Methods in molecular biology. 1158. 107–121. 10 indexed citations
17.
Köster, Tino & Dorothee Staiger. (2013). RNA-Binding Protein Immunoprecipitation from Whole-Cell Extracts. Methods in molecular biology. 1062. 679–695. 37 indexed citations
18.
Streitner, Corinna, Tino Köster, Craig G. Simpson, et al.. (2012). An hnRNP-like RNA-binding protein affects alternative splicing by in vivo interaction with transcripts in Arabidopsis thaliana. Nucleic Acids Research. 40(22). 11240–11255. 126 indexed citations
19.
Staiger, Dorothee & Tino Köster. (2010). Spotlight on post-transcriptional control in the circadian system. Cellular and Molecular Life Sciences. 68(1). 71–83. 42 indexed citations
20.
Köster, Tino, et al.. (2003). Emerging therapeutic agents for transmissible spongiform encephalopathies: a review. Journal of Veterinary Pharmacology and Therapeutics. 26(5). 315–326. 19 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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