Matthias Muhar

4.2k citations
14 papers · 1.9k indexed · 1 hit paper · h-index 11
Topics
Protein Degradation and Inhibitors (6 papers)Ubiquitin and proteasome pathways (5 papers)Genomics and Chromatin Dynamics (4 papers)

In The Last Decade

Matthias Muhar

14 papers receiving 1.9k citations

Hit Papers

Topologically associating domains and chromatin loops dep...20172026202020232017100200300400500

Peers

Matthias Muhar
Comparison fields: 5 of 88
  • Molecular Biology 1.6k
  • Plant Science 256
  • Oncology 194
  • Cell Biology 191
  • Cancer Research 168
Replace Richard T. Timms with:
Richard T. Timms United Kingdom
Hannah K. Long United Kingdom
Kaori Shinmyozu Japan
Julia K. Pagan United States
Gretchen Poortinga Australia
Tobias Neumann Austria
Lynne Lacomis United States
Bernhard Lehnertz Canada
Masato Umikawa Japan
Mantu Bhaumik United States
Matthias Muhar relative to Richard T. Timms United Kingdom Richard T. Timms's profile →
Citations per field
00.5×1.5×
Richard T. Timms · 1×
Citations per year

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
#WorkIndexed citations
1 8
2 8
3 16
4 24
5 203
6 109
7 90
8 237
9 43
10
Topologically associating domains and chromatin loops depend on cohesin and are regulated by CTCF, WAPL, and PDS5 proteinsbreakdown →
545
11 126
12 443
13 7
14 54

About Matthias Muhar

Matthias Muhar is a scholar working on Molecular Biology, Hematology and Oncology, having authored 14 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (6 papers), Ubiquitin and proteasome pathways (5 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Cell Biology (191 citations) and Cancer Research (168 citations). Matthias Muhar has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Johannes Zuber, Thomas Hoffmann, David A. Cisneros, Gordana Wutz, Wen Tang, Jan‐Michael Peters, Roman R. Stocsits, Stefan Schoenfelder, Peter Fraser and Mareike Roth. Their work appears in journals such as Nature, Science and Cell.

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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