Friederike Dündar

53 total papers · 14.9k total citations
16 papers, 6.8k citations indexed

About

Friederike Dündar is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Friederike Dündar has authored 16 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Immunology and 3 papers in Oncology. Recurrent topics in Friederike Dündar's work include Single-cell and spatial transcriptomics (4 papers), T-cell and B-cell Immunology (3 papers) and Immune Cell Function and Interaction (3 papers). Friederike Dündar is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), T-cell and B-cell Immunology (3 papers) and Immune Cell Function and Interaction (3 papers). Friederike Dündar collaborates with scholars based in United States, Germany and France. Friederike Dündar's co-authors include Fidel Ramírez, Thomas Manke, Björn Grüning, Vivek Bhardwaj, Andreas S. Richter, Devon Ryan, Fabian Kilpert, Steffen Heyne, Sarah Diehl and Paul Zumbo and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Friederike Dündar

16 papers receiving 6.8k citations

Hit Papers

deepTools2: a next genera... 2014 2026 2018 2022 2016 2014 1000 2.0k 3.0k 4.0k

Author Peers

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

Author Last Decade Papers Cites
Friederike Dündar 5.5k 1.3k 838 759 703 16 6.8k
Vivek Bhardwaj 4.9k 0.9× 1.3k 0.9× 688 0.8× 546 0.7× 803 1.1× 18 5.9k
Andreas S. Richter 4.9k 0.9× 985 0.7× 1.0k 1.2× 489 0.6× 606 0.9× 21 6.0k
Alla A. Sigova 5.6k 1.0× 1.2k 0.9× 587 0.7× 512 0.7× 1.4k 1.9× 20 6.4k
David A. Orlando 7.0k 1.3× 1.5k 1.1× 872 1.0× 539 0.7× 1.0k 1.4× 37 8.1k
Benoît Ballester 4.3k 0.8× 775 0.6× 893 1.1× 488 0.6× 755 1.1× 32 5.4k
Paul G. Giresi 6.0k 1.1× 756 0.6× 1.1k 1.4× 883 1.2× 743 1.1× 26 7.3k
Steffen Heyne 4.1k 0.7× 918 0.7× 619 0.7× 459 0.6× 500 0.7× 14 5.0k
Fabian Kilpert 4.1k 0.7× 924 0.7× 631 0.8× 485 0.6× 463 0.7× 17 5.1k
Devon Ryan 4.1k 0.8× 914 0.7× 560 0.7× 445 0.6× 467 0.7× 18 5.0k
Roland D. Green 6.2k 1.1× 864 0.6× 1.3k 1.6× 502 0.7× 550 0.8× 22 7.2k

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

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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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