Friederike Dündar

15.3k citations
16 papers · 7.0k indexed · 2 hit papers · h-index 10
Topics
Single-cell and spatial transcriptomics (4 papers)Immune Cell Function and Interaction (3 papers)T-cell and B-cell Immunology (3 papers)

In The Last Decade

Friederike Dündar

16 papers receiving 6.9k citations

Hit Papers

deepTools2: a next generation web server for deep-sequenc...20142026201820222016201410002.0k3.0k4.0k

Peers

Friederike Dündar
Comparison fields: 5 of 128
  • Molecular Biology 5.6k
  • Plant Science 1.4k
  • Genetics 854
  • Immunology 773
  • Cancer Research 717
Replace Vivek Bhardwaj with:
Vivek Bhardwaj Germany
David A. Orlando United States
Fabian Kilpert Germany
Andreas S. Richter Germany
Anthony Mathelier Norway
Devon Ryan Germany
Steffen Heyne Germany
Paul G. Giresi United States
Tomek Swigut United States
Jesse R. Dixon United States
Friederike Dündar relative to Vivek Bhardwaj Germany Vivek Bhardwaj's profile →
Citations per field
00.5×7.2×
Vivek Bhardwaj · 1×
Citations per year

Countries citing papers authored by Friederike Dündar

Since Specialization
Citations

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

Fields of papers citing papers by Friederike Dündar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Friederike Dündar

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 3
2 64
3 21
4 29
5 80
6 146
7 6
8 2
9 10
10 9
11 4
12
deepTools2: a next generation web server for deep-sequencing data analysisbreakdown →
4364
13 18
14 8
15
deepTools: a flexible platform for exploring deep-sequencing databreakdown →
2106
16 83

About Friederike Dündar

Friederike Dündar is a scholar working on Immunology, Neurology and Virology, having authored 16 papers that have together received 7.0k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Immune Cell Function and Interaction (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Molecular Biology (5.6k citations), Aging (88 citations) and Cancer Research (717 citations). Friederike Dündar has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Thomas Manke, Fidel Ramírez, Björn Grüning, Fabian Kilpert, Andreas S. Richter, Devon Ryan, Vivek Bhardwaj, Steffen Heyne, Sarah Diehl and Paul Zumbo. Their work appears in journals such as Nature, Nucleic Acids Research and Nature Communications.

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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