Dominic Grün

20.7k total citations · 9 hit papers
56 papers, 12.2k citations indexed

About

Dominic Grün is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Dominic Grün has authored 56 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 16 papers in Immunology and 13 papers in Cancer Research. Recurrent topics in Dominic Grün's work include Single-cell and spatial transcriptomics (24 papers), Gene Regulatory Network Analysis (8 papers) and Immune cells in cancer (8 papers). Dominic Grün is often cited by papers focused on Single-cell and spatial transcriptomics (24 papers), Gene Regulatory Network Analysis (8 papers) and Immune cells in cancer (8 papers). Dominic Grün collaborates with scholars based in Germany, United States and Netherlands. Dominic Grün's co-authors include Alexander van Oudenaarden, Nikolaus Rajewsky, Kristin C. Gunsalus, Philip MacMenamin, Azra Krek, Markus Stoffel, Matthew N. Poy, Isabelle da Piedade, Sagar Sagar and Lennart Kester and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Dominic Grün

55 papers receiving 12.1k citations

Hit Papers

Combinatorial microRNA target predictions 2005 2026 2012 2019 2005 2019 2015 2016 2019 1000 2.0k 3.0k

Peers

Dominic Grün
Comparison fields: 5 of 157
  • Molecular Biology 8.1k
  • Cancer Research 4.7k
  • Immunology 2.6k
  • Neurology 2.0k
  • Surgery 898
Christoph Hafemeister United States
Andrew Butler United States
Tim Stuart United States
Efthymia Papalexi United States
Marlon Stoeckius United States
James Nemesh United States
Peter Smibert United States
William M. Mauck United States
Stein Aerts Belgium
Fuchou Tang China
Christoph Hafemeister United States View profile →
Citations per field, relative to Dominic Grün
Dominic Grün · 1×
Citations per year, relative to Dominic Grün
Dominic Grün · 1×

Countries citing papers authored by Dominic Grün

Since Specialization
Citations

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

Fields of papers citing papers by Dominic Grün

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominic Grün

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 5
3 1
4 52
5 5
6
The glucose transporter GLUT3 controls T helper 17 cell responses through glycolytic-epigenetic reprogramming breakdown →
140
7 69
8 39
9 22
10 282
11 34
12 52
13 211
14 14
15 8
16
Single-cell messenger RNA sequencing reveals rare intestinal cell types breakdown →
847
17 149
18 58
19 52
20 77

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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