Johannes Köster

11.5k total citations · 1 hit paper
44 papers, 2.5k citations indexed

About

Johannes Köster is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Johannes Köster has authored 44 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 9 papers in Plant Science and 7 papers in Cancer Research. Recurrent topics in Johannes Köster's work include Genomics and Phylogenetic Studies (11 papers), Cancer Genomics and Diagnostics (6 papers) and Single-cell and spatial transcriptomics (4 papers). Johannes Köster is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), Cancer Genomics and Diagnostics (6 papers) and Single-cell and spatial transcriptomics (4 papers). Johannes Köster collaborates with scholars based in Germany, United States and Netherlands. Johannes Köster's co-authors include Sven Rahmann, Wolfgang Barz, X. Shirley Liu, Myles Brown, Han Xu, Wei Li, Tengfei Xiao, Jun S. Liu, Alexander Schönhuth and Matthew Pun and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Johannes Köster

40 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Snakemake—a scalable bioinformatics workflow engine

2012 1.5k citations Johannes Köster, Sven Rahmann Bioinformatics profile →

Peers

Countries citing papers authored by Johannes Köster

Since Specialization

Citations

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

Fields of papers citing papers by Johannes Köster

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Köster

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Datavzrd: Rapid programming- and maintenance-free interactive visualization and communication of tabular data 2025 ·PLoS ONE ·(unknown), David Laehnemann, Felix Mölder, (unknown), (unknown), Alexander Schramm, Johannes Köster	0
2	Orthanq: transparent and uncertainty-aware haplotype quantification with application in HLA-typing 2024 ·BMC Bioinformatics ·(unknown), Annette Paschen, Dirk Schadendorf, Johannes Köster	0
3	UnCoVar: a reproducible and scalable workflow for transparent and robust virus variant calling and lineage assignment using SARS-CoV-2 as an example 2024 ·BMC Genomics ·Alexander Thomas, (unknown), (unknown), Olympia E. Anastasiou, Ulf Dittmer, (unknown), (unknown), (unknown), (unknown), Vu Thuy Khanh Le‐Trilling, Simon Magin, René Scholtysik, Pelin Yilmaz, Mirko Trilling, (unknown), Johannes Köster, Folker Meyer	1
4	A virally encoded GPCR drives glioblastoma through feed-forward activation of the SK1-S1P ₁ signaling axis 2023 ·Science Signaling ·(unknown), Jeffrey R. van Senten, (unknown), Maarten P. Bebelman, (unknown), (unknown), Kasper Dinkla, Johannes Köster, Gunnar W. Klau, Marco Siderius, Martine J. Smit	13
5	Insane in the vembrane: filtering and transforming VCF/BCF files 2022 ·Bioinformatics ·(unknown), Christopher Schröder, (unknown), David Lähnemann, Johannes Köster	1
6	Go Get Data (GGD) is a framework that facilitates reproducible access to genomic data 2021 ·Nature Communications ·(unknown), Jonathan R. Belyeu, Brent S. Pedersen, Joseph Brown, Johannes Köster, Aaron R. Quinlan	7
7	Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo 2021 ·Nature Communications ·David Lähnemann, Johannes Köster, Ute Fischer, Arndt Borkhardt, Alice C. McHardy, Alexander Schönhuth	9
8	VISPR-online: a web-based interactive tool to visualize CRISPR screening experiments 2021 ·BMC Bioinformatics ·Yingbo Cui, Zihang Wang, Johannes Köster, Xiangke Liao, Shaoliang Peng, Tao Tang, Chun Huang, Canqun Yang	1
9	Machine learning reveals a PD-L1–independent prediction of response to immunotherapy of non-small cell lung cancer by gene expression context 2020 ·European Journal of Cancer ·Marcel Wiesweg, Fabian Mairinger, Henning Reis, Moritz Goetz, Jens Kollmeier, Daniel Misch, Susann Stephan-Falkenau, Thomas Mairinger, Robert Walter, Thomas Hager, Martin Metzenmacher, Wilfried Eberhardt, (unknown), Johannes Köster, Martin Stuschke, Clemens Aigner, Kaid Darwiche, Kurt Werner Schmid, Sven Rahmann, Martin Schüler	37
10	Varlociraptor: enhancing sensitivity and controlling false discovery rate in somatic indel discovery 2020 ·Genome biology ·Johannes Köster, (unknown), Tobias Marschall, Alexander Schönhuth	15
11	Full-length de novo viral quasispecies assembly through variation graph construction 2019 ·Bioinformatics ·Jasmijn A. Baaijens, Bastiaan van der Roest, Johannes Köster, Leen Stougie, Alexander Schönhuth	18
12	Machine learning-based predictors for immune checkpoint inhibitor therapy of non-small-cell lung cancer 2019 ·Annals of Oncology ·Marcel Wiesweg, Fabian Mairinger, Henning Reis, Moritz Goetz, Robert Walter, (unknown), Martin Metzenmacher, Wilfried Eberhardt, (unknown), Johannes Köster, Martin Stuschke, Clemens Aigner, Kaid Darwiche, Kurt Werner Schmid, Sven Rahmann, Martin Schüler	23
13	Protein complex similarity based on Weisfeiler-Lehman labeling 2018 ·(unknown), (unknown), Petra Mutzel, Johannes Köster, Nils M. Kriege, Sven Rahmann	1
14	Cancer evolution, mutations, and clonal selection in relapse neuroblastoma 2018 ·Cell and Tissue Research ·Marc Schulte, Johannes Köster, Sven Rahmann, Alexander Schramm	22
15	VIPER: Visualization Pipeline for RNA-seq, a Snakemake workflow for efficient and complete RNA-seq analysis 2018 ·BMC Bioinformatics ·MacIntosh Cornwell, Mahesh Vangala, Len Taing, Zachary T. Herbert, Johannes Köster, Bo Li, Hanfei Sun, Taiwen Li, Jian Zhang, Xintao Qiu, Matthew Pun, Rinath Jeselsohn, Myles Brown, X. Shirley Liu, Henry W. Long	109
16	Practical Computational Reproducibility in the Life Sciences 2018 ·Cell Systems ·Björn Grüning, John Chilton, Johannes Köster, Ryan Dale, Nicola Soranzo, Marius van den Beek, Jeremy Goecks, Rolf Backofen, Anton Nekrutenko, James Taylor	73
17	Quality control, modeling, and visualization of CRISPR screens with MAGeCK-VISPR 2015 ·Genome biology ·Wei Li, Johannes Köster, Han Xu, (unknown), Tengfei Xiao, Jun S. Liu, Myles Brown, X. Shirley Liu	262
18	Massively parallel read mapping on GPUs with the q -group index and PEANUT 2014 ·PeerJ ·Johannes Köster, Sven Rahmann	2
19	Efficiently mining protein interaction dependencies from large text corpora 2012 ·Integrative Biology ·Johannes Köster, Eli Zamir, Sven Rahmann	7
20	New Flavone Glucoside Malonylesters from Bryum capillare 1985 ·Zeitschrift für Naturforschung C ·(unknown), (unknown), (unknown), Rüdiger Mues, Wolfgang Barz, Johannes Köster	13

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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