Markus Seiler

2.2k citations
11 papers · 1.0k indexed · h-index 10
    • RNA Research and Splicing 4
    • RNA and protein synthesis mechanisms 3
    • RNA modifications and cancer 2
    • Ubiquitin and proteasome pathways 2
    • Fungal and yeast genetics research 2
    • Genomics and Chromatin Dynamics 2
    • Bacillus and Francisella bacterial research 1
  • Cell Biology top 10%
    • Virus-based gene therapy research 1

Markus Seiler

11 papers receiving 1.0k citations

Peers

Markus Seiler
Comparison fields: 5 of 86
  • Molecular Biology 899
  • Cell Biology 156
  • Aging 8
  • Virology 21
  • Genetics 111
Replace Stefan Henrich with:
Stefan Henrich Germany
Andreas M. Ernst United States
Rita Pancsa Hungary
Irina Grishkovskaya Austria
Sébastien Brier France
María Rosario Fernández‐Fernández Spain
Timothy J. Ragan United Kingdom
Maarit Hellman Finland
Etsuko Miyamoto‐Sato Japan
Pawel Smialowski Germany
Markus Seiler relative to Stefan Henrich Germany Stefan Henrich's profile →
Citations per field
00.5×1.5×1.9×
Stefan Henrich · 1×
Citations per year

Countries citing papers authored by Markus Seiler

Since Specialization
Citations

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

Fields of papers citing papers by Markus Seiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Markus Seiler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Markus Seiler Line = papers co-authored together Markus Seiler links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20251
2 202248
3 201843
4 201712
5 2014335
6 2013180
7 2013234
8 2011114
9 200943
10 200717
11 200614

About Markus Seiler

Markus Seiler is a scholar working on Virology, Clinical Biochemistry and Molecular Biology, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (2 papers), Ubiquitin and proteasome pathways (2 papers), Fungal and yeast genetics research (2 papers), Genomics and Chromatin Dynamics (2 papers), Virus-based gene therapy research (1 paper) and Bacillus and Francisella bacterial research (1 paper). The work is most often cited by research in Molecular Biology (899 citations), Cell Biology (156 citations) and Aging (8 citations). Markus Seiler has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Toby J. Gibson, Reiner A. Veitia, Bora Uyar, Kim Van Roey, Norman E. Davey, Robert J. Weatheritt, Holger Dinkel, Aidan Budd, Jan Medenbach and Matthias W. Hentze. Their work appears in journals such as Nature Methods, Scientific Reports, Nature Communications, Veterinary Microbiology and BMC Bioinformatics.

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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