Gitte Hoffmann Bruun

1.3k total citations
17 papers, 862 citations indexed

About

Gitte Hoffmann Bruun is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Gitte Hoffmann Bruun has authored 17 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Physiology. Recurrent topics in Gitte Hoffmann Bruun's work include RNA Research and Splicing (8 papers), RNA modifications and cancer (5 papers) and RNA and protein synthesis mechanisms (5 papers). Gitte Hoffmann Bruun is often cited by papers focused on RNA Research and Splicing (8 papers), RNA modifications and cancer (5 papers) and RNA and protein synthesis mechanisms (5 papers). Gitte Hoffmann Bruun collaborates with scholars based in Denmark, United States and Norway. Gitte Hoffmann Bruun's co-authors include Brage Storstein Andresen, Thomas Koed Doktor, Thomas J. Corydon, Alex Sparreboom, Torben Stamm Mikkelsen, Adrian R. Krainer, Maja Dembić, Paul Scheet, Yiping Fan and Cheng Cheng and has published in prestigious journals such as Nature, Nucleic Acids Research and Scientific Reports.

In The Last Decade

Gitte Hoffmann Bruun

17 papers receiving 858 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gitte Hoffmann Bruun Denmark 14 528 176 121 101 90 17 862
Ekaterini A. Kritikou Canada 13 435 0.8× 228 1.3× 15 0.1× 37 0.4× 16 0.2× 18 780
Wasim K. Bleibel United States 14 651 1.2× 144 0.8× 41 0.3× 25 0.2× 80 0.9× 18 973
Yoko Hirabayashi Japan 14 443 0.8× 167 0.9× 52 0.4× 14 0.1× 13 0.1× 38 862
Carmen Conde Spain 18 431 0.8× 312 1.8× 38 0.3× 25 0.2× 21 0.2× 54 899
Sitharthan Kamalakaran United States 15 431 0.8× 246 1.4× 43 0.4× 42 0.4× 18 0.2× 25 761
Petros Gatsios Germany 11 376 0.7× 478 2.7× 22 0.2× 31 0.3× 65 0.7× 13 861
Wendy Garrison United States 5 508 1.0× 151 0.9× 45 0.4× 24 0.2× 39 0.4× 6 947
G.J. Brunn United States 8 800 1.5× 162 0.9× 48 0.4× 22 0.2× 13 0.1× 8 1.1k
M. Cecilia Larocca Argentina 17 590 1.1× 227 1.3× 9 0.1× 56 0.6× 32 0.4× 36 883
Deborah A. Granger United States 9 724 1.4× 158 0.9× 36 0.3× 31 0.3× 9 0.1× 11 941

Countries citing papers authored by Gitte Hoffmann Bruun

Since Specialization
Citations

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

Fields of papers citing papers by Gitte Hoffmann Bruun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gitte Hoffmann Bruun. 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 Gitte Hoffmann Bruun. The network helps show where Gitte Hoffmann Bruun may publish in the future.

Co-authorship network of co-authors of Gitte Hoffmann Bruun

This figure shows the co-authorship network connecting the top 25 collaborators of Gitte Hoffmann Bruun. A scholar is included among the top collaborators of Gitte Hoffmann Bruun 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 Gitte Hoffmann Bruun. Gitte Hoffmann Bruun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Deyneko, Igor V., Gitte Hoffmann Bruun, Maja Dembić, et al.. (2022). Candidate genes and sequence variants for susceptibility to mycobacterial infection identified by whole-exome sequencing. Frontiers in Genetics. 13. 969895–969895. 2 indexed citations
2.
Doktor, Thomas Koed, et al.. (2020). DeepCLIP: predicting the effect of mutations on protein–RNA binding with deep learning. Nucleic Acids Research. 48(13). 7099–7118. 63 indexed citations
3.
Grønskov, Karen, Cathrine Jespersgaard, Gitte Hoffmann Bruun, et al.. (2019). A pathogenic haplotype, common in Europeans, causes autosomal recessive albinism and uncovers missing heritability in OCA1. Scientific Reports. 9(1). 645–645. 29 indexed citations
4.
Doktor, Thomas Koed, et al.. (2019). Down-regulation of CK2α correlates with decreased expression levels of DNA replication minichromosome maintenance protein complex (MCM) genes. Scientific Reports. 9(1). 14581–14581. 7 indexed citations
5.
Bruun, Gitte Hoffmann, et al.. (2018). Blocking of an intronic splicing silencer completely rescues IKBKAP exon 20 splicing in familial dysautonomia patient cells. Nucleic Acids Research. 46(15). 7938–7952. 11 indexed citations
6.
Mosegaard, Signe, Gitte Hoffmann Bruun, Yngve Thomas Bliksrud, et al.. (2017). An intronic variation in SLC52A1 causes exon skipping and transient riboflavin-responsive multiple acyl-CoA dehydrogenation deficiency. Molecular Genetics and Metabolism. 122(4). 182–188. 42 indexed citations
7.
Doktor, Thomas Koed, Yimin Hua, Henriette S. Andersen, et al.. (2016). RNA-sequencing of a mouse-model of spinal muscular atrophy reveals tissue-wide changes in splicing of U12-dependent introns. Nucleic Acids Research. 45(1). 395–416. 82 indexed citations
8.
Bruun, Gitte Hoffmann, Thomas Koed Doktor, Akio Masuda, et al.. (2016). Global identification of hnRNP A1 binding sites for SSO-based splicing modulation. BMC Biology. 14(1). 54–54. 56 indexed citations
9.
Heintz, Caroline, Thomas Koed Doktor, Anne Lanjuin, et al.. (2016). Splicing factor 1 modulates dietary restriction and TORC1 pathway longevity in C. elegans. Nature. 541(7635). 102–106. 138 indexed citations
10.
11.
Sabaratnam, Rugivan, Thomas Koed Doktor, Patricie Burda, et al.. (2015). Splice-shifting oligonucleotide (SSO) mediated blocking of an exonic splicing enhancer (ESE) created by the prevalent c.903+469T>C MTRR mutation corrects splicing and restores enzyme activity in patient cells. Nucleic Acids Research. 43(9). 4627–4639. 27 indexed citations
12.
Bruun, Gitte Hoffmann, Thomas Koed Doktor, & Brage Storstein Andresen. (2013). A synonymous polymorphic variation in ACADM exon 11 affects splicing efficiency and may affect fatty acid oxidation. Molecular Genetics and Metabolism. 110(1-2). 122–128. 20 indexed citations
13.
Olsen, Rikke Katrine Jentoft, Rugivan Sabaratnam, Thomas Koed Doktor, et al.. (2013). TheETFDHc.158A>G Variation Disrupts the Balanced Interplay of ESE- and ESS-Binding Proteins thereby Causing Missplicing and Multiple Acyl-CoA Dehydrogenation Deficiency. Human Mutation. 35(1). 86–95. 24 indexed citations
14.
Graan, Anne‐Joy M. de, Cynthia S. Lancaster, Amanda Obaidat, et al.. (2012). Influence of Polymorphic OATP1B-Type Carriers on the Disposition of Docetaxel. Clinical Cancer Research. 18(16). 4433–4440. 76 indexed citations
15.
Lancaster, Cynthia S., Gitte Hoffmann Bruun, Cody J. Peer, et al.. (2012). OATP1B1 Polymorphism as a Determinant of Erythromycin Disposition. Clinical Pharmacology & Therapeutics. 92(5). 642–650. 23 indexed citations
16.
Askou, Anne Louise, Lars Aagaard, Gitte Hoffmann Bruun, et al.. (2012). Adeno‐associated virus‐delivered polycistronic microRNA‐clusters for knockdown of vascular endothelial growth factor in vivo. The Journal of Gene Medicine. 14(5). 328–338. 32 indexed citations
17.
Ramsey, Laura B., Gitte Hoffmann Bruun, Wenjian Yang, et al.. (2011). Rare versus common variants in pharmacogenetics: SLCO1B1 variation and methotrexate disposition. Genome Research. 22(1). 1–8. 205 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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