Rune B. Lyngsø

1.7k citations
31 papers · 882 indexed · h-index 14
Topics
RNA and protein synthesis mechanisms (14 papers)Genomics and Phylogenetic Studies (12 papers)RNA modifications and cancer (9 papers)

In The Last Decade

Rune B. Lyngsø

30 papers receiving 845 citations

Peers

Rune B. Lyngsø
Comparison fields: 5 of 69
  • Molecular Biology 737
  • Artificial Intelligence 139
  • Genetics 123
  • Computational Theory and Mathematics 61
  • Plant Science 34
Replace Jesper Jansson with:
Jesper Jansson Japan
Adam M. Novak United States
Martin Vingron Germany
German Tischler United Kingdom
Lee A. Newberg United States
Nadia Pisanti Italy
Rainer Opgen-Rhein Germany
Broňa Brejová Slovakia
François Rechenmann France
Michael Kleber United States
Rune B. Lyngsø relative to Jesper Jansson Japan Jesper Jansson's profile →
Citations per field
00.5×1.5×1.8×
Jesper Jansson · 1×
Citations per year

Countries citing papers authored by Rune B. Lyngsø

Since Specialization
Citations

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

Fields of papers citing papers by Rune B. Lyngsø

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rune B. Lyngsø. 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 Rune B. Lyngsø. The network helps show where Rune B. Lyngsø may publish in the future.

Co-authorship network of co-authors of Rune B. Lyngsø

This figure shows the co-authorship network connecting the top 25 collaborators of Rune B. Lyngsø. A scholar is included among the top collaborators of Rune B. Lyngsø 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 Rune B. Lyngsø. Rune B. Lyngsø 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 18
2 11
3 4
4 10
5 50
6 1
7 21
8 22
9 13
10 7
11 11
12 11
13 62
14 111
15 32
16 10
17 15
18
Metrics and similarity measures for hidden Markov models.
39
19 27
20 7

About Rune B. Lyngsø

Rune B. Lyngsø is a scholar working on Hardware and Architecture, Software and Molecular Biology, having authored 31 papers that have together received 882 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (14 papers), Genomics and Phylogenetic Studies (12 papers) and RNA modifications and cancer (9 papers). The work is most often cited by research in Molecular Biology (737 citations), Genetics (123 citations) and Artificial Intelligence (139 citations). Rune B. Lyngsø has collaborated with scholars based in United Kingdom, Denmark and United States. Frequent co-authors include Christian N. S. Pedersen, Jotun Hein, Jan Gorodkin, Jakob H. Havgaard, Gary D. Stormo, Adam M. Novak, Henrik Nielsen, István Miklós, James W. Anderson and Michael Zuker. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Genetics.

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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