Jakob H. Havgaard

1.4k total citations
24 papers, 916 citations indexed

About

Jakob H. Havgaard is a scholar working on Molecular Biology, Cancer Research and Ecology. According to data from OpenAlex, Jakob H. Havgaard has authored 24 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Ecology. Recurrent topics in Jakob H. Havgaard's work include RNA and protein synthesis mechanisms (19 papers), RNA modifications and cancer (17 papers) and Genomics and Phylogenetic Studies (12 papers). Jakob H. Havgaard is often cited by papers focused on RNA and protein synthesis mechanisms (19 papers), RNA modifications and cancer (17 papers) and Genomics and Phylogenetic Studies (12 papers). Jakob H. Havgaard collaborates with scholars based in Denmark, United States and Germany. Jakob H. Havgaard's co-authors include Jan Gorodkin, Elfar Torarinsson, Rune B. Lyngsø, Merete Fredholm, Milena Sawera, Gary D. Stormo, Christian Anthon, Anne Wenzel, Ferhat Alkan and Peter F. Stadler and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Genome Research.

In The Last Decade

Jakob H. Havgaard

24 papers receiving 909 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jakob H. Havgaard Denmark 14 857 203 61 40 29 24 916
Omer Ziv Israel 10 677 0.8× 253 1.2× 37 0.6× 66 1.6× 23 0.8× 15 779
Tetsushi Yada Japan 12 561 0.7× 123 0.6× 63 1.0× 23 0.6× 34 1.2× 36 618
Changchang Cao China 11 583 0.7× 204 1.0× 37 0.6× 48 1.2× 27 0.9× 30 739
Philip C. Zuzarte Canada 6 730 0.9× 112 0.6× 120 2.0× 123 3.1× 60 2.1× 8 842
Anmol Kiran Malawi 9 637 0.7× 112 0.6× 48 0.8× 15 0.4× 25 0.9× 22 754
Suresh B. Mudunuri India 8 893 1.0× 473 2.3× 73 1.2× 135 3.4× 31 1.1× 18 1000
Jean‐Michel Garant Canada 15 657 0.8× 108 0.5× 40 0.7× 32 0.8× 27 0.9× 17 707
Byron Lee United States 9 1.5k 1.8× 410 2.0× 59 1.0× 38 0.9× 26 0.9× 11 1.6k
Debojyoti Chakraborty India 15 474 0.6× 141 0.7× 57 0.9× 19 0.5× 5 0.2× 32 525
Catherine L. Weiner United States 7 669 0.8× 120 0.6× 104 1.7× 87 2.2× 46 1.6× 8 697

Countries citing papers authored by Jakob H. Havgaard

Since Specialization
Citations

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

Fields of papers citing papers by Jakob H. Havgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jakob H. Havgaard. 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 Jakob H. Havgaard. The network helps show where Jakob H. Havgaard may publish in the future.

Co-authorship network of co-authors of Jakob H. Havgaard

This figure shows the co-authorship network connecting the top 25 collaborators of Jakob H. Havgaard. A scholar is included among the top collaborators of Jakob H. Havgaard 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 Jakob H. Havgaard. Jakob H. Havgaard 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.
Han, Peng, Wei Lv, Zhe Xu, et al.. (2025). Extrachromosomal circular miRNA-gene amplifications contribute to the renal cancer phenotype. Cell Reports. 44(12). 116660–116660. 1 indexed citations
2.
González-Tortuero, Enrique, Christian Anthon, Jakob H. Havgaard, et al.. (2022). The Bacillaceae-1 RNA motif comprises two distinct classes. Gene. 841. 146756–146756. 1 indexed citations
3.
Havgaard, Jakob H., Christian Anthon, Caroline M. Junker Mentzel, et al.. (2019). Epigenetic and Transcriptomic Characterization of Pure Adipocyte Fractions From Obese Pigs Identifies Candidate Pathways Controlling Metabolism. Frontiers in Genetics. 10. 9 indexed citations
4.
Alkan, Ferhat, Anne Wenzel, Christian Anthon, Jakob H. Havgaard, & Jan Gorodkin. (2018). CRISPR-Cas9 off-targeting assessment with nucleic acid duplex energy parameters. Genome biology. 19(1). 177–177. 110 indexed citations
5.
Miladi, Milad, Alexander Junge, Fabrizio Costa, et al.. (2017). RNAscClust: clustering RNA sequences using structure conservation and graph based motifs. Bioinformatics. 33(14). 2089–2096. 22 indexed citations
6.
Kato, Yuki, Jan Gorodkin, & Jakob H. Havgaard. (2017). Alignment-free comparative genomic screen for structured RNAs using coarse-grained secondary structure dot plots. BMC Genomics. 18(1). 935–935. 1 indexed citations
7.
Junge, Alexander, Roza Zandi, Jakob H. Havgaard, Jan Gorodkin, & Jack B. Cowland. (2017). Assessing the miRNA sponge potential of RUNX1T1 in t(8;21) acute myeloid leukemia. Gene. 615. 35–40. 12 indexed citations
8.
Hecker, Nikolai, Mikkel Christensen‐Dalsgaard, Stefan E. Seemann, et al.. (2015). Optimizing RNA structures by sequence extensions using RNAcop. Nucleic Acids Research. 43(17). 8135–8145. 4 indexed citations
9.
Havgaard, Jakob H., et al.. (2015). Foldalign 2.5: multithreaded implementation for pairwise structural RNA alignment. Bioinformatics. 32(8). 1238–1240. 28 indexed citations
10.
Anthon, Christian, Hakim Tafer, Jakob H. Havgaard, et al.. (2014). Structured RNAs and synteny regions in the pig genome. BMC Genomics. 15(1). 19 indexed citations
11.
Havgaard, Jakob H. & Jan Gorodkin. (2013). RNA Structural Alignments, Part I: Sankoff-Based Approaches for Structural Alignments. Methods in molecular biology. 1097. 275–290. 25 indexed citations
12.
Gorodkin, Jan, Ivo L. Hofacker, Elfar Torarinsson, et al.. (2009). De novo prediction of structured RNAs from genomic sequences. Trends in biotechnology. 28(1). 9–19. 53 indexed citations
13.
Kaczkowski, Bogumił, Elfar Torarinsson, Kristin Reiche, et al.. (2008). Structural profiles of human miRNA families from pairwise clustering. Bioinformatics. 25(3). 291–294. 53 indexed citations
14.
Andersen, Ebbe Sloth, Allan Lind-Thomsen, Bjarne Knudsen, et al.. (2007). Semiautomated improvement of RNA alignments. RNA. 13(11). 1850–1859. 30 indexed citations
15.
Havgaard, Jakob H., Elfar Torarinsson, & Jan Gorodkin. (2007). Fast Pairwise Structural RNA Alignments by Pruning of the Dynamical Programming Matrix. PLoS Computational Biology. 3(10). e193–e193. 94 indexed citations
16.
Torarinsson, Elfar, Milena Sawera, Jakob H. Havgaard, Merete Fredholm, & Jan Gorodkin. (2006). Thousands of corresponding human and mouse genomic regions unalignable in primary sequence contain common RNA structure. Genome Research. 16(7). 885–889. 138 indexed citations
17.
Gorodkin, Jan, Jakob H. Havgaard, Milena Sawera, et al.. (2006). MicroRNA sequence motifs reveal asymmetry between the stem arms. Computational Biology and Chemistry. 30(4). 249–254. 17 indexed citations
18.
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
19.
Havgaard, Jakob H., Elfar Torarinsson, & Jan Gorodkin. (2005). Fast Pairwise Structural RNA Alignments by Pruning of the Dynamical Programming Matrix. PLoS Computational Biology. preprint(2007). e193–e193. 2 indexed citations
20.
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

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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