Björn Grüning

34.1k total citations · 5 hit papers
110 papers, 14.4k citations indexed

About

Björn Grüning is a scholar working on Molecular Biology, Information Systems and Management and Information Systems. According to data from OpenAlex, Björn Grüning has authored 110 papers receiving a total of 14.4k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 26 papers in Information Systems and Management and 14 papers in Information Systems. Recurrent topics in Björn Grüning's work include Scientific Computing and Data Management (26 papers), Genomics and Phylogenetic Studies (23 papers) and Research Data Management Practices (14 papers). Björn Grüning is often cited by papers focused on Scientific Computing and Data Management (26 papers), Genomics and Phylogenetic Studies (23 papers) and Research Data Management Practices (14 papers). Björn Grüning collaborates with scholars based in Germany, United States and United Kingdom. Björn Grüning's co-authors include Thomas Manke, Fidel Ramírez, Friederike Dündar, Vivek Bhardwaj, Steffen Heyne, Devon Ryan, Andreas S. Richter, Fabian Kilpert, Sarah Diehl and John Chilton and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.

In The Last Decade

Björn Grüning

106 papers receiving 14.3k citations

Hit Papers

align trajectories sort by overperformance

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.

deepTools2: a next generation web server for deep-sequencing data analysis

2016 4.4k citations Fidel Ramírez, Björn Grüning et al. Nucleic Acids Research profile →
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update

2018 2.4k citations Dannon Baker, Bérénice Batut et al. Nucleic Acids Research profile →
deepTools: a flexible platform for exploring deep-sequencing data

2014 2.1k citations Fidel Ramírez, Björn Grüning et al. Nucleic Acids Research profile →
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update

2016 1.5k citations Dannon Baker, Marius van den Beek et al. Nucleic Acids Research profile →
High-resolution TADs reveal DNA sequences underlying genome organization in flies

2018 543 citations Fidel Ramírez, Vivek Bhardwaj et al. Nature Communications profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Björn Grüning	10.5k	2.6k	1.6k	1.2k	1.0k	110	14.4k
Carl Kingsford	7.8k 0.7×	2.4k 0.9×	1.5k 0.9×	1.0k 0.9×	1.1k 1.0×	93	12.5k
Adam Roberts	8.7k 0.8×	3.3k 1.3×	1.6k 1.0×	2.1k 1.8×	1.2k 1.1×	20	13.6k
Huanming Yang	8.6k 0.8×	2.7k 1.0×	3.0k 1.9×	1.2k 1.1×	878 0.8×	335	14.0k
Gary C. Hon	9.4k 0.9×	2.0k 0.8×	1.8k 1.1×	534 0.5×	925 0.9×	24	12.5k
Tobias Doerks	10.5k 1.0×	2.3k 0.9×	1.6k 1.0×	1.3k 1.1×	1.1k 1.1×	48	14.2k
Ioannis Xénarios	10.3k 1.0×	2.0k 0.8×	1.2k 0.8×	650 0.6×	1.1k 1.1×	171	14.3k
Davide Heller	7.7k 0.7×	1.6k 0.6×	1.2k 0.7×	1.4k 1.2×	1.0k 1.0×	6	12.3k
Silvio C. E. Tosatto	10.9k 1.0×	2.7k 1.1×	1.3k 0.8×	601 0.5×	659 0.6×	182	14.8k
Ana Conesa	10.3k 1.0×	5.0k 1.9×	2.3k 1.4×	1.6k 1.4×	1.2k 1.2×	165	17.5k
Andreas Heger	10.7k 1.0×	3.3k 1.3×	2.2k 1.4×	1.3k 1.1×	1.1k 1.1×	55	15.9k

Countries citing papers authored by Björn Grüning

Since Specialization

Citations

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

Fields of papers citing papers by Björn Grüning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Björn Grüning

This figure shows the co-authorship network connecting the top 25 collaborators of Björn Grüning. A scholar is included among the top collaborators of Björn Grüning 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 Björn Grüning. Björn Grüning 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

Delogu, Francesco, Praveen Kumar, Benoît J. Kunath, et al.. (2023). Integrative meta-omics in Galaxy and beyond. Environmental Microbiome. 18(1). 56–56. 9 indexed citations

Fahrner, Matthias, Melanie Christine Föll, Björn Grüning, et al.. (2022). Democratizing data-independent acquisition proteomics analysis on public cloud infrastructures via the Galaxy framework. GigaScience. 11. 11 indexed citations

Greve, Gabriele, Lars Feuerbach, Daniel B. Lipka, et al.. (2022). The antileukemic activity of decitabine upon PML/RARA-negative AML blasts is supported by all-trans retinoic acid: in vitro and in vivo evidence for cooperation. Blood Cancer Journal. 12(8). 122–122. 8 indexed citations

Soiland‐Reyes, Stian, Mercè Crosas, Leyla Jael Castro, et al.. (2022). Packaging research artefacts with RO-Crate. UvA-DARE (University of Amsterdam). 5(2). 97–138. 70 indexed citations

Mehta, Subina, Valdemir Melechco Carvalho, Olivier Pible, et al.. (2022). Catching the Wave: Detecting Strain-Specific SARS-CoV-2 Peptides in Clinical Samples Collected during Infection Waves from Diverse Geographical Locations. Viruses. 14(10). 2205–2205. 1 indexed citations

Soiland‐Reyes, Stian, Stuart Owen, Douglas Lowe, et al.. (2022). 10 Simple Rules for making a software tool workflow-ready. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Kumar, Anup, Helena Rasche, Björn Grüning, & Rolf Backofen. (2021). Tool recommender system in Galaxy using deep learning. GigaScience. 10(1). 6 indexed citations

Serrano‐Solano, Beatriz, Melanie Christine Föll, Cristóbal Gallardo Alba, et al.. (2021). Fostering accessible online education using Galaxy as an e-learning platform. PLoS Computational Biology. 17(5). e1008923–e1008923. 8 indexed citations

Xu, Pan, Enrique Audain, Marc‐Phillip Hitz, et al.. (2020). The omics discovery REST interface. Nucleic Acids Research. 48(W1). W380–W384. 3 indexed citations

10.

Baker, Dannon, Marius van den Beek, Daniel Blankenberg, et al.. (2020). No more business as usual: Agile and effective responses to emerging pathogen threats require open data and open analytics. PLoS Pathogens. 16(8). e1008643–e1008643. 17 indexed citations

11.

Koning, Willem de, Milad Miladi, Saskia Hiltemann, et al.. (2020). NanoGalaxy: Nanopore long-read sequencing data analysis in Galaxy. GigaScience. 9(10). 40 indexed citations

12.

Wolff, Joachim, Nezar Abdennur, Rolf Backofen, & Björn Grüning. (2020). Scool: a new data storage format for single-cell Hi-C data. Bioinformatics. 37(14). 2053–2054. 5 indexed citations

13.

Lopez‐Delisle, Lucille, Leily Rabbani, Joachim Wolff, et al.. (2020). pyGenomeTracks: reproducible plots for multivariate genomic datasets . Bioinformatics. 37(3). 422–423. 247 indexed citations

14.

Föll, Melanie Christine, Thomas Wollmann, Martin Werner, et al.. (2019). Accessible and reproducible mass spectrometry imaging data analysis in Galaxy. GigaScience. 8(12). 27 indexed citations

15.

Ramírez, Fidel, Vivek Bhardwaj, Laura Arrigoni, et al.. (2018). High-resolution TADs reveal DNA sequences underlying genome organization in flies. Nature Communications. 9(1). 189–189. 543 indexed citations breakdown →

16.

Staes, An, Björn Grüning, Subina Mehta, et al.. (2018). Update on the moFF Algorithm for Label-Free Quantitative Proteomics. Journal of Proteome Research. 18(2). 728–731. 9 indexed citations

17.

Chambers, Matthew, Pratik Jagtap, James E. Johnson, et al.. (2017). An Accessible Proteogenomics Informatics Resource for Cancer Researchers. Cancer Research. 77(21). e43–e46. 23 indexed citations

18.

Grüning, Björn, Boris Rebolledo‐Jaramillo, Carl Eberhard, et al.. (2017). Jupyter and Galaxy: Easing entry barriers into complex data analyses for biomedical researchers. PLoS Computational Biology. 13(5). e1005425–e1005425. 51 indexed citations

19.

Cock, Peter, John Chilton, Björn Grüning, James E. Johnson, & Nicola Soranzo. (2015). NCBI BLAST+ integrated into Galaxy. GigaScience. 4(1). 39–39. 187 indexed citations

20.

Grüning, Björn, Steffen Lüdeke, Marcel de Wilde, et al.. (2014). Regio- and Stereoselective Intermolecular Oxidative Phenol Coupling in Streptomyces. Journal of the American Chemical Society. 136(17). 6195–6198. 60 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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