Koen Van den Berge

1.6k total citations · 1 hit paper
7 papers, 683 citations indexed

About

Koen Van den Berge is a scholar working on Molecular Biology, Cancer Research and Ecology. According to data from OpenAlex, Koen Van den Berge has authored 7 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cancer Research and 1 paper in Ecology. Recurrent topics in Koen Van den Berge's work include Single-cell and spatial transcriptomics (4 papers), Gene expression and cancer classification (3 papers) and Cancer Genomics and Diagnostics (2 papers). Koen Van den Berge is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Gene expression and cancer classification (3 papers) and Cancer Genomics and Diagnostics (2 papers). Koen Van den Berge collaborates with scholars based in Belgium, United States and Switzerland. Koen Van den Berge's co-authors include Lieven Clement, Sandrine Dudoit, Kelly Street, Hector Roux de Bézieux, Yvan Saeys, Robrecht Cannoodt, Wouter Saelens, Charlotte Soneson, Mark D. Robinson and Michael I. Love and has published in prestigious journals such as Nature Communications, Genome biology and The ISME Journal.

In The Last Decade

Koen Van den Berge

7 papers receiving 679 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.

Trajectory-based differential expression analysis for single-cell sequencing data

2020 352 citations Koen Van den Berge, Hector Roux de Bézieux et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Koen Van den Berge Belgium	7	521	134	120	51	44	7	683
Yaron de Leeuw Israel	3	573 1.1×	164 1.2×	162 1.4×	84 1.6×	33 0.8×	4	762
Carolina Guibentif Sweden	13	916 1.8×	119 0.9×	134 1.1×	50 1.0×	55 1.3×	18	1.0k
Aurora Savino Italy	13	587 1.1×	180 1.3×	71 0.6×	83 1.6×	75 1.7×	30	794
Haide Chen China	14	650 1.2×	131 1.0×	191 1.6×	117 2.3×	86 2.0×	30	862
Jonathan Alles Germany	6	527 1.0×	102 0.8×	69 0.6×	29 0.6×	24 0.5×	7	583
Richard C. V. Tyser United Kingdom	10	1.2k 2.3×	110 0.8×	136 1.1×	57 1.1×	57 1.3×	17	1.4k
Wenhao Jin United States	11	865 1.7×	57 0.4×	163 1.4×	63 1.2×	33 0.8×	14	1.1k
Philip Brennecke Germany	5	940 1.8×	204 1.5×	198 1.6×	48 0.9×	89 2.0×	5	1.1k
Noa Sher Israel	8	907 1.7×	262 2.0×	141 1.2×	97 1.9×	64 1.5×	11	1.1k
Fabrice Daian France	13	450 0.9×	76 0.6×	44 0.4×	49 1.0×	69 1.6×	21	611

Countries citing papers authored by Koen Van den Berge

Since Specialization

Citations

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

Fields of papers citing papers by Koen Van den Berge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koen Van den Berge. 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 Koen Van den Berge. The network helps show where Koen Van den Berge may publish in the future.

Co-authorship network of co-authors of Koen Van den Berge

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Bézieux, Hector Roux de, Koen Van den Berge, Kelly Street, & Sandrine Dudoit. (2024). Trajectory inference across multiple conditions with condiments. Nature Communications. 15(1). 12 indexed citations

2.

Pinseel, Eveline, Teofil Nakov, Koen Van den Berge, et al.. (2022). Strain-specific transcriptional responses overshadow salinity effects in a marine diatom sampled along the Baltic Sea salinity cline. The ISME Journal. 16(7). 1776–1787. 22 indexed citations

3.

Berge, Koen Van den, Hector Roux de Bézieux, Kelly Street, et al.. (2022). Normalization benchmark of ATAC-seq datasets shows the importance of accounting for GC-content effects. Cell Reports Methods. 2(11). 100321–100321. 9 indexed citations

4.

Berge, Koen Van den, Hector Roux de Bézieux, Kelly Street, et al.. (2020). Trajectory-based differential expression analysis for single-cell sequencing data. Nature Communications. 11(1). 1201–1201. 352 indexed citations breakdown →

5.

Berge, Koen Van den, Katharina Hembach, Charlotte Soneson, et al.. (2019). RNA Sequencing Data: Hitchhiker's Guide to Expression Analysis. Zurich Open Repository and Archive (University of Zurich). 2(1). 139–173. 83 indexed citations

6.

Berge, Koen Van den, Fanny Perraudeau, Charlotte Soneson, et al.. (2018). Observation weights unlock bulk RNA-seq tools for zero inflation and single-cell applications. Genome biology. 19(1). 24–24. 140 indexed citations

7.

Berge, Koen Van den, et al.. (2017). stageR: a general stage-wise method for controlling the gene-level false discovery rate in differential expression and differential transcript usage. Genome biology. 18(1). 151–151. 65 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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