Mario Mörl

4.6k citations
90 papers · 3.4k indexed · 1 hit paper · h-index 33
Topics
RNA and protein synthesis mechanisms (74 papers)RNA modifications and cancer (67 papers)Genomics and Phylogenetic Studies (30 papers)

In The Last Decade

Mario Mörl

87 papers receiving 3.4k citations

Hit Papers

tRNAdb 2009: compilation of tRNA sequences and tRNA genes20082026201420202008200400600

Peers

Mario Mörl
Comparison fields: 5 of 100
  • Molecular Biology 3.2k
  • Genetics 290
  • Ecology 206
  • Cancer Research 204
  • Oncology 127
Replace Basil J. Greber with:
Basil J. Greber United States
Paul A. Fisher United States
Phillip Belgrader United States
Jan P. Erzberger United States
Takashi Yokogawa Japan
Kristin A. Eckert United States
Benjamin Lang United States
François Strauss France
S. Rita United States
Patricia A. Maroney United States
Mario Mörl relative to Basil J. Greber United States Basil J. Greber's profile →
Citations per field
00.5×1.5×1.8×
Basil J. Greber · 1×
Citations per year

Countries citing papers authored by Mario Mörl

Since Specialization
Citations

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

Fields of papers citing papers by Mario Mörl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Mörl

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Mörl. A scholar is included among the top collaborators of Mario Mörl 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 Mario Mörl. Mario Mörl 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
#WorkIndexed citations
1 1
2 0
3 3
4 4
5 6
6 1
7 7
8 4
9 9
10 26
11 35
12 23
13 118
14 34
15 85
16 141
17 40
18
tRNAdb 2009: compilation of tRNA sequences and tRNA genesbreakdown →
672
19 4
20 64

About Mario Mörl

Mario Mörl is a scholar working on Molecular Biology, Genetics and Cancer Research, having authored 90 papers that have together received 3.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (74 papers), RNA modifications and cancer (67 papers) and Genomics and Phylogenetic Studies (30 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Cancer Research (204 citations) and Genetics (290 citations). Mario Mörl has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Peter F. Stadler, Joern Pütz, Frank Jühling, Roland K. Hartmann, Mathias Sprinzl, Heike Betat, Christina E. Weinberg, Christian D. Lorenz, Svante Pääbo and Anita Marchfelder. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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