Britta Velten

4.3k citations
13 papers · 1.4k indexed · 2 hit papers · h-index 10
Topics
Single-cell and spatial transcriptomics (4 papers)Bioinformatics and Genomic Networks (3 papers)Gene expression and cancer classification (3 papers)

In The Last Decade

Britta Velten

13 papers receiving 1.4k citations

Hit Papers

Multi‐Omics Factor Analysis—a framework for unsupervised ...201820262020202320182020200400600

Peers

Britta Velten
Comparison fields: 5 of 115
  • Molecular Biology 1.1k
  • Cancer Research 182
  • Genetics 128
  • Biophysics 118
  • Immunology 109
Replace Damien Arnol with:
Damien Arnol United Kingdom
Andreas‐David Brunner Germany
Ludwig Geistlinger United States
Marc Aubry France
Luz García‐Alonso United Kingdom
Ricard Argelaguet United Kingdom
Shengbao Suo China
Vincent Gardeux Switzerland
Monika Ray United States
Per Oksvold Sweden
Britta Velten relative to Damien Arnol United Kingdom Damien Arnol's profile →
Citations per field
00.5×1.5×
Damien Arnol · 1×
Citations per year

Countries citing papers authored by Britta Velten

Since Specialization
Citations

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

Fields of papers citing papers by Britta Velten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Britta Velten

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 16
2 1
3 25
4 12
5 1
6 38
7 78
8 17
9 41
10 59
11
MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell databreakdown →
432
12 1
13
Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data setsbreakdown →
664

About Britta Velten

Britta Velten is a scholar working on Biophysics, Statistics, Probability and Uncertainty and Molecular Biology, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Bioinformatics and Genomic Networks (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Biophysics (118 citations), Molecular Biology (1.1k citations) and Cancer Research (182 citations). Britta Velten has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Oliver Stegle, Ricard Argelaguet, Damien Arnol, John C. Marioni, Wolfgang Huber, Sascha Dietrich, Thorsten Zenz, Florian Buettner, Danila Bredikhin and Jakob Wirbel. Their work appears in journals such as Nature Communications, Bioinformatics and Nature Methods.

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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