Markus Müller

9.4k total citations · 2 hit papers
128 papers, 6.5k citations indexed

About

Markus Müller is a scholar working on Molecular Biology, Organic Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Markus Müller has authored 128 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 25 papers in Organic Chemistry and 22 papers in Electrical and Electronic Engineering. Recurrent topics in Markus Müller's work include RNA modifications and cancer (32 papers), Epigenetics and DNA Methylation (31 papers) and RNA and protein synthesis mechanisms (14 papers). Markus Müller is often cited by papers focused on RNA modifications and cancer (32 papers), Epigenetics and DNA Methylation (31 papers) and RNA and protein synthesis mechanisms (14 papers). Markus Müller collaborates with scholars based in Germany, Switzerland and France. Markus Müller's co-authors include Thomas Carell, Kläus Müllen, Mirko Wagner, Martin Münzel, Nicholas D. Spencer, Seunghwan Lee, Alexander J. Berresheim, Daniel Globisch, Stylianos Michalakis and Tobias Brückl and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Markus Müller

121 papers receiving 6.4k citations

Hit Papers

Tissue Distribution of 5-Hydroxymethylcytosine and Search... 2010 2026 2015 2020 2010 2017 200 400 600

Peers

Markus Müller
Comparison fields: 5 of 139
  • Molecular Biology 4.0k
  • Organic Chemistry 1.2k
  • Materials Chemistry 749
  • Electrical and Electronic Engineering 556
  • Surfaces, Coatings and Films 454
Replace Yun Wah Lam with:
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Naoki Komatsu Japan
Peter Brzezinski Sweden
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Qing Liu China
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Yun Wah Lam Hong Kong View profile →
Citations per field, relative to Markus Müller
Markus Müller · 1×
Citations per year, relative to Markus Müller
Markus Müller · 1×

Countries citing papers authored by Markus Müller

Since Specialization
Citations

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

Fields of papers citing papers by Markus Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Müller. A scholar is included among the top collaborators of Markus Müller 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 Markus Müller. Markus Müller 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 2
3 10
4 9
5 7
6 17
7 13
8 19
9 1
10 8
11 44
12
N6-methyladenosine (m6A) recruits and repels proteins to regulate mRNA homeostasis breakdown →
427
13 111
14 17
15 115
16
The epigenetic mark 5hmC recruits a dynamic set of readers in the retina
1
17 124
18 149
19 43
20 24

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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