Matthias Muhar

4.2k total citations · 1 hit paper
14 papers, 1.9k citations indexed

About

Matthias Muhar is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Matthias Muhar has authored 14 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Epidemiology. Recurrent topics in Matthias Muhar's work include Protein Degradation and Inhibitors (6 papers), Ubiquitin and proteasome pathways (5 papers) and Genomics and Chromatin Dynamics (4 papers). Matthias Muhar is often cited by papers focused on Protein Degradation and Inhibitors (6 papers), Ubiquitin and proteasome pathways (5 papers) and Genomics and Chromatin Dynamics (4 papers). Matthias Muhar collaborates with scholars based in Austria, United States and Germany. Matthias Muhar's co-authors include Johannes Zuber, Thomas Hoffmann, David A. Cisneros, Peter Fraser, Roman R. Stocsits, Jan‐Michael Peters, Gordana Wutz, Stefan Schoenfelder, Wen Tang and Mareike Roth and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Matthias Muhar

14 papers receiving 1.9k citations

Hit Papers

Topologically associating domains and chromatin loops dep... 2017 2026 2020 2023 2017 100 200 300 400 500
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.

  1. Topologically associating domains and chromatin loops depend on cohesin and are regulated by CTCF, WAPL, and PDS5 proteins
    2017 545 citations Gordana Wutz, Csilla Várnai et al. The EMBO Journal profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Muhar Austria 11 1.6k 256 194 191 168 14 1.9k
Richard T. Timms United Kingdom 23 1.5k 0.9× 243 0.9× 242 1.2× 288 1.5× 186 1.1× 36 1.9k
Madelaine Gogol United States 26 2.4k 1.5× 340 1.3× 103 0.5× 111 0.6× 210 1.3× 42 2.6k
Hannah K. Long United Kingdom 12 2.3k 1.4× 238 0.9× 139 0.7× 182 1.0× 219 1.3× 18 2.5k
Bernhard Lehnertz Canada 16 1.6k 1.0× 178 0.7× 137 0.7× 146 0.8× 93 0.6× 24 2.0k
Masato Umikawa Japan 19 1.3k 0.8× 147 0.6× 141 0.7× 683 3.6× 178 1.1× 24 1.9k
Henriette O’Geen United States 28 2.4k 1.5× 275 1.1× 118 0.6× 83 0.4× 202 1.2× 43 2.7k
Gretchen Poortinga Australia 18 1.7k 1.1× 75 0.3× 336 1.7× 127 0.7× 149 0.9× 31 2.0k
Rosa Luna Spain 24 1.7k 1.1× 127 0.5× 360 1.9× 168 0.9× 213 1.3× 40 2.0k
Orr Barak United States 16 1.1k 0.7× 120 0.5× 141 0.7× 99 0.5× 101 0.6× 18 1.5k
Tobias Neumann Austria 16 1.2k 0.8× 93 0.4× 214 1.1× 73 0.4× 199 1.2× 23 1.6k

Countries citing papers authored by Matthias Muhar

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Muhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Muhar

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

All Works

14 of 14 papers shown
1.
Muhar, Matthias, Raphael Hofmann, Lukas T. Henneberg, et al.. (2025). C-terminal amides mark proteins for degradation via SCF–FBXO31. Nature. 638(8050). 519–527. 8 indexed citations
2.
Muhar, Matthias, Jin Rui Liang, Kateryna A. Tolmachova, et al.. (2023). Semisynthetic LC3 Probes for Autophagy Pathways Reveal a Noncanonical LC3 Interacting Region Motif Crucial for the Enzymatic Activity of Human ATG3. ACS Central Science. 9(5). 1025–1034. 8 indexed citations
3.
Diesch, Jeannine, Matthias Muhar, Mark van der Garde, et al.. (2021). Inhibition of CBP synergizes with the RNA-dependent mechanisms of Azacitidine by limiting protein synthesis. Nature Communications. 12(1). 6060–6060. 16 indexed citations
4.
Endres, Theresa, Jan B. Heidelberger, Apoorva Baluapuri, et al.. (2021). Ubiquitylation of MYC couples transcription elongation with double-strand break repair at active promoters. Molecular Cell. 81(4). 830–844.e13. 24 indexed citations
5.
Thiecke, Michiel J., Gordana Wutz, Matthias Muhar, et al.. (2020). Cohesin-Dependent and -Independent Mechanisms Mediate Chromosomal Contacts between Promoters and Enhancers. Cell Reports. 32(3). 107929–107929. 109 indexed citations
6.
Liang, Jin Rui, et al.. (2020). A Genome-wide ER-phagy Screen Highlights Key Roles of Mitochondrial Metabolism and ER-Resident UFMylation. Cell. 180(6). 1160–1177.e20. 203 indexed citations
7.
Neumann, Tobias, Veronika A. Herzog, Matthias Muhar, et al.. (2019). Quantification of experimentally induced nucleotide conversions in high-throughput sequencing datasets. BMC Bioinformatics. 20(1). 258–258. 90 indexed citations
8.
Muhar, Matthias, Anja Ebert, Tobias Neumann, et al.. (2018). SLAM-seq defines direct gene-regulatory functions of the BRD4-MYC axis. Science. 360(6390). 800–805. 237 indexed citations
9.
Skucha, Anna, Mareike Roth, Thomas Eder, et al.. (2018). MLL-fusion-driven leukemia requires SETD2 to safeguard genomic integrity. Nature Communications. 9(1). 1983–1983. 43 indexed citations
10.
Wutz, Gordana, Csilla Várnai, Kota Nagasaka, et al.. (2017). Topologically associating domains and chromatin loops depend on cohesin and are regulated by CTCF, WAPL, and PDS5 proteins. The EMBO Journal. 36(24). 3573–3599. 545 indexed citations breakdown →
11.
Housden, Benjamin E., Matthias Muhar, Matthew Gemberling, et al.. (2016). Loss-of-function genetic tools for animal models: cross-species and cross-platform differences. Nature Reviews Genetics. 18(1). 24–40. 126 indexed citations
12.
Fellmann, Christof, Thomas Hoffmann, Barbara Hopfgartner, et al.. (2013). An Optimized microRNA Backbone for Effective Single-Copy RNAi. Cell Reports. 5(6). 1704–1713. 443 indexed citations
13.
Muhar, Matthias, et al.. (2013). Difficulties in Generating Specific Antibodies for Immunohistochemical Detection of Nitrosylated Tubulins. PLoS ONE. 8(6). e68168–e68168. 7 indexed citations
14.
Wienerroither, Sebastian, Isabella Rauch, Felix Rosebrock, et al.. (2013). Regulation of NO Synthesis, Local Inflammation, and Innate Immunity to Pathogens by BET Family Proteins. Molecular and Cellular Biology. 34(3). 415–427. 54 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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