Markus Seiler

2.2k citations
12 papers · 1.1k · h-index 10

Impact in

    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Protein Structure and Dynamics
    • RNA modifications and cancer
    • Ubiquitin and proteasome pathways
    • CRISPR and Genetic Engineering
  • Cell Biology top 10%
    • Cellular transport and secretion

Papers in

    • RNA Research and Splicing 4
    • Fungal and yeast genetics research 3
    • Ubiquitin and proteasome pathways 2
    • RNA modifications and cancer 2
    • RNA and protein synthesis mechanisms 2
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Virus-based gene therapy research 1

Markus Seiler

11 papers receiving 1.1k citations

Peers

Markus Seiler
Comparison fields: 5 of 86
  • Molecular Biology 880
  • Cell Biology 159
  • Aging 8
  • Virology 19
  • Genetics 115
Replace Sébastien Brier with:
Sébastien Brier France
Timothy J. Ragan United Kingdom
Michael A. Stiffler United States
Maarit Hellman Finland
Pawel Smialowski Germany
Ramsey A. Saleem United States
Julien Béthune Germany
T. Nishimoto Japan
Cheryl A. Telmer United States
Quinn Lu United States
Markus Seiler relative to Sébastien Brier France Sébastien Brier's profile →
Citations per field
00.5×3.3×
Sébastien Brier · 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-authors

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

12 of 12 papers shown
#Work
1 2014346
2 2013235
3 2013183
4 2011115
5 202252
6 201845
7 200944
8 200717
9 200614
10 201713
11 20252
12 20250

About Markus Seiler

Markus Seiler is a scholar working on Molecular Biology, Genetics, Cell Biology, Pharmacology and Dermatology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Fungal and yeast genetics research (3 papers), Ubiquitin and proteasome pathways (2 papers), RNA modifications and cancer (2 papers), RNA and protein synthesis mechanisms (2 papers), Virus-based gene therapy research (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Poxvirus research and outbreaks (1 paper). The work is most often cited by research in Molecular Biology (880 citations), Cell Biology (159 citations), Aging (8 citations), Virology (19 citations) and Genetics (115 citations). Markus Seiler has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Toby J. Gibson, Reiner A. Veitia, Aidan Budd, Robert J. Weatheritt, Holger Dinkel, Bora Uyar, Kim Van Roey, Norman E. Davey, Jan Medenbach and Matthias W. Hentze. Their work appears in journals such as Nature Communications, Nature Methods, Journal of Cell Science, Current Issues in Molecular Biology 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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