Rune B. Lyngsø

1.7k total citations
31 papers, 882 citations indexed

About

Rune B. Lyngsø is a scholar working on Molecular Biology, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Rune B. Lyngsø has authored 31 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Artificial Intelligence and 4 papers in Hardware and Architecture. Recurrent topics in Rune B. Lyngsø's work include RNA and protein synthesis mechanisms (14 papers), Genomics and Phylogenetic Studies (12 papers) and RNA modifications and cancer (9 papers). Rune B. Lyngsø is often cited by papers focused on RNA and protein synthesis mechanisms (14 papers), Genomics and Phylogenetic Studies (12 papers) and RNA modifications and cancer (9 papers). Rune B. Lyngsø collaborates with scholars based in United Kingdom, Denmark and United States. Rune B. Lyngsø's 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 and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Genetics.

In The Last Decade

Rune B. Lyngsø

30 papers receiving 845 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rune B. Lyngsø United Kingdom 14 737 139 123 61 34 31 882
François Rechenmann France 11 454 0.6× 181 1.3× 72 0.6× 25 0.4× 49 1.4× 21 556
Dan Ofer Israel 10 697 0.9× 95 0.7× 33 0.3× 110 1.8× 18 0.5× 17 881
Martin Vingron Germany 9 649 0.9× 116 0.8× 90 0.7× 22 0.4× 63 1.9× 14 803
Nicola Cannata Italy 10 410 0.6× 67 0.5× 58 0.5× 22 0.4× 38 1.1× 28 541
Chantal Korostensky Switzerland 7 553 0.8× 39 0.3× 81 0.7× 20 0.3× 133 3.9× 11 703
Usman Roshan United States 10 408 0.6× 144 1.0× 171 1.4× 6 0.1× 81 2.4× 42 619
Jesper Jansson Japan 16 413 0.6× 237 1.7× 215 1.7× 129 2.1× 47 1.4× 76 651
Lee A. Newberg United States 10 225 0.3× 69 0.5× 66 0.5× 39 0.6× 24 0.7× 23 325
Gabriel Cardona Spain 14 385 0.5× 65 0.5× 271 2.2× 41 0.7× 36 1.1× 41 595
Rainer Opgen-Rhein Germany 4 381 0.5× 61 0.4× 80 0.7× 35 0.6× 38 1.1× 5 556

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
1.
Lyngsø, Rune B., et al.. (2021). KwARG: parsimonious reconstruction of ancestral recombination graphs with recurrent mutation. Bioinformatics. 37(19). 3277–3284. 18 indexed citations
2.
Herman, Joseph L., et al.. (2015). Efficient representation of uncertainty in multiple sequence alignments using directed acyclic graphs. BMC Bioinformatics. 16(1). 108–108. 11 indexed citations
3.
Anderson, James W., et al.. (2013). Oxfold: kinetic folding of RNA using stochastic context-free grammars and evolutionary information. Bioinformatics. 29(6). 704–710. 10 indexed citations
4.
Andersen, Ebbe Sloth, et al.. (2013). SCFGs in RNA Secondary Structure Prediction: A Hands-on Approach. Methods in molecular biology. 1097. 143–162. 4 indexed citations
5.
Feuerbach, Lars, Rune B. Lyngsø, Thomas Lengauer, & Jotun Hein. (2011). Reconstructing the Ancestral Germ Line Methylation State of Young Repeats. Molecular Biology and Evolution. 28(6). 1777–1784. 1 indexed citations
6.
Münz, Márton, Rune B. Lyngsø, Jotun Hein, & Philip C. Biggin. (2010). Dynamics based alignment of proteins: an alternative approach to quantify dynamic similarity. BMC Bioinformatics. 11(1). 188–188. 21 indexed citations
7.
Miklós, István, Adam M. Novak, Rahul Satija, Rune B. Lyngsø, & Jotun Hein. (2009). Stochastic models of sequence evolution including insertion—deletion events. Statistical Methods in Medical Research. 18(5). 453–485. 13 indexed citations
8.
Satija, Rahul, Adam M. Novak, István Miklós, Rune B. Lyngsø, & Jotun Hein. (2009). BigFoot: Bayesian alignment and phylogenetic footprinting with MCMC. BMC Evolutionary Biology. 9(1). 217–217. 22 indexed citations
9.
Lyngsø, Rune B., et al.. (2008). An Analysis of Structural Influences on Selection in RNA Genes. Molecular Biology and Evolution. 26(1). 209–216. 7 indexed citations
10.
Simančík, František, et al.. (2007). On Recombination-Induced Multiple and Simultaneous Coalescent Events. Genetics. 177(4). 2151–2160. 11 indexed citations
11.
Song, Yun S., Rune B. Lyngsø, & Jotun Hein. (2006). Counting All Possible Ancestral Configurations of Sample Sequences in Population Genetics. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 3(3). 239–251. 11 indexed citations
12.
Havgaard, Jakob H., Rune B. Lyngsø, & Jan Gorodkin. (2005). The FOLDALIGN web server for pairwise structural RNA alignment and mutual motif search. Nucleic Acids Research. 33(Web Server). W650–W653. 62 indexed citations
13.
Havgaard, Jakob H., Rune B. Lyngsø, Gary D. Stormo, & Jan Gorodkin. (2005). Pairwise local structural alignment of RNA sequences with sequence similarity less than 40%. Computer applications in the biosciences. 21(9). 1815–1824. 111 indexed citations
14.
Lyngsø, Rune B. & Christian N. S. Pedersen. (2002). The consensus string problem and the complexity of comparing hidden Markov models. Journal of Computer and System Sciences. 65(3). 545–569. 32 indexed citations
15.
Brodal, Gerth Stølting, et al.. (2002). Solving the String Statistics Problem in Time O(n log n). BRICS Report Series. 9(13). 9 indexed citations
16.
Brodal, Gerth Stølting, Rune B. Lyngsø, Christian N. S. Pedersen, & Jens Stoye. (1999). Finding Maximal Pairs with Bounded Gap. Lecture notes in computer science. 6(12). 134–149. 10 indexed citations
17.
Lyngsø, Rune B., Michael Zuker, & Christian N. S. Pedersen. (1999). Internal loops in RNA secondary structure prediction. 260–267. 27 indexed citations
18.
Lyngsø, Rune B., Michael Zuker, & Christian N. S. Pedersen. (1999). An Improved Algorithm for RNA Secondary Structure Prediction. BRICS Report Series. 6(15). 7 indexed citations
19.
Lyngsø, Rune B., et al.. (1999). Metrics and similarity measures for hidden Markov models.. PubMed. 178–86. 39 indexed citations
20.
Lyngsø, Rune B., Christian N. S. Pedersen, & Henrik Nielsen. (1999). Measures on Hidden Markov Models. BRICS Report Series. 6(6). 15 indexed citations

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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