Lars Feuk

30.6k total citations · 4 hit papers
85 papers, 8.8k citations indexed

About

Lars Feuk is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Lars Feuk has authored 85 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 47 papers in Genetics and 12 papers in Plant Science. Recurrent topics in Lars Feuk's work include Genomic variations and chromosomal abnormalities (33 papers), Genomics and Rare Diseases (21 papers) and Genomics and Phylogenetic Studies (14 papers). Lars Feuk is often cited by papers focused on Genomic variations and chromosomal abnormalities (33 papers), Genomics and Rare Diseases (21 papers) and Genomics and Phylogenetic Studies (14 papers). Lars Feuk collaborates with scholars based in Sweden, United States and Canada. Lars Feuk's co-authors include Stephen W. Scherer, Andrew R. Carson, Charles Lee, Marc Listewnik, Ying Qi, A. John Iafrate, Patricia K. Donahoe, Miguel N. Rivera, Jeffrey R. MacDonald and Ryan K. C. Yuen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Lars Feuk

83 papers receiving 8.6k citations

Hit Papers

Detection of large-scale variation in the human genome 2004 2026 2011 2018 2004 2006 2013 2006 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lars Feuk Sweden 35 5.5k 4.9k 1.7k 1.2k 828 85 8.8k
John C. Schimenti United States 57 2.6k 0.5× 7.5k 1.5× 1.3k 0.8× 1.0k 0.8× 435 0.5× 199 10.0k
Andrew J. Sharp United States 39 4.1k 0.8× 3.7k 0.8× 1.3k 0.8× 440 0.4× 908 1.1× 103 6.6k
Nabeel A. Affara United Kingdom 49 3.2k 0.6× 4.2k 0.9× 863 0.5× 776 0.6× 800 1.0× 167 7.1k
Felix Krueger United Kingdom 38 2.8k 0.5× 10.7k 2.2× 1.3k 0.7× 1.3k 1.1× 1.3k 1.5× 61 12.3k
Jonathan Sebat United States 32 4.7k 0.9× 4.3k 0.9× 1.1k 0.6× 681 0.6× 442 0.5× 62 7.7k
P. Pearson Netherlands 55 4.7k 0.9× 6.3k 1.3× 1.4k 0.8× 662 0.5× 901 1.1× 209 10.7k
Lisenka E.L.M. Vissers Netherlands 39 5.1k 0.9× 3.6k 0.7× 790 0.5× 586 0.5× 943 1.1× 98 7.7k
David I. K. Martin United States 52 2.8k 0.5× 9.1k 1.9× 1.1k 0.6× 1.6k 1.3× 953 1.2× 94 11.5k
John M. Greally United States 53 2.3k 0.4× 6.8k 1.4× 579 0.3× 1.0k 0.8× 936 1.1× 196 9.1k
Paweł Stankiewicz United States 50 6.2k 1.1× 5.0k 1.0× 2.2k 1.2× 563 0.5× 1.4k 1.7× 198 9.2k

Countries citing papers authored by Lars Feuk

Since Specialization
Citations

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

Fields of papers citing papers by Lars Feuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Feuk

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Feuk. A scholar is included among the top collaborators of Lars Feuk 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 Lars Feuk. Lars Feuk 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.
Thonberg, Håkan, Aida Paivandy, Lars Feuk, et al.. (2025). Acute Vestibular Syndrome Unmasking an RFC1 -Spectrum Disorder. Neurology Genetics. 11(1). e200238–e200238.
2.
Eisfeldt, Jesper, Edward J. Higginbotham, Jennifer Howe, et al.. (2024). Resolving complex duplication variants in autism spectrum disorder using long-read genome sequencing. Genome Research. 34(11). 1763–1773. 3 indexed citations
3.
Bunikis, Ignas, Anders Lundmark, Amanda Raine, et al.. (2024). A multiomic characterization of the leukemia cell line REH using short- and long-read sequencing. Life Science Alliance. 7(8). e202302481–e202302481. 2 indexed citations
4.
Hård, Joanna, Jeff E. Mold, Jesper Eisfeldt, et al.. (2023). Long-read whole-genome analysis of human single cells. Nature Communications. 14(1). 5164–5164. 25 indexed citations
5.
Höijer, Ida, Anastasia Emmanouilidou, Robin van Schendel, et al.. (2022). CRISPR-Cas9 induces large structural variants at on-target and off-target sites in vivo that segregate across generations. Nature Communications. 13(1). 627–627. 113 indexed citations
6.
Diamanti, Klev, et al.. (2021). R.ROSETTA: an interpretable machine learning framework. BMC Bioinformatics. 22(1). 110–110. 15 indexed citations
7.
9.
Höijer, Ida, Yu‐Chih Tsai, Tyson A. Clark, et al.. (2018). Detailed analysis of HTT repeat elements in human blood using targeted amplification-free long-read sequencing. Human Mutation. 39(9). 1262–1272. 58 indexed citations
10.
Zhao, Jin, Jonatan Halvardson, Cecilia Zander, et al.. (2017). Exome sequencing reveals NAA15 and PUF60 as candidate genes associated with intellectual disability. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 177(1). 10–20. 32 indexed citations
11.
Schuster, Jens, Jonatan Halvardson, Adam Ameur, et al.. (2015). Transcriptome Profiling Reveals Degree of Variability in Induced Pluripotent Stem Cell Lines: Impact for Human Disease Modeling. Cellular Reprogramming. 17(5). 327–337. 19 indexed citations
12.
Spiegel, Ronen, Ann Saada, Jonatan Halvardson, et al.. (2013). Deleterious mutation in FDX1L gene is associated with a novel mitochondrial muscle myopathy. European Journal of Human Genetics. 22(7). 902–906. 66 indexed citations
13.
Radomska, Katarzyna J., Jonatan Halvardson, Björn Reinius, et al.. (2013). RNA-binding protein QKI regulates Glial fibrillary acidic protein expression in human astrocytes. Human Molecular Genetics. 22(7). 1373–1382. 20 indexed citations
14.
Feuk, Lars. (2012). Genomic structural variants : methods and protocols. Humana Press eBooks. 8 indexed citations
15.
Spiegel, Ronen, Ophry Pines, Asaf Ta‐Shma, et al.. (2012). Infantile Cerebellar-Retinal Degeneration Associated with a Mutation in Mitochondrial Aconitase, ACO2. The American Journal of Human Genetics. 90(3). 518–523. 76 indexed citations
16.
Leeuw, Nicole de, Trijnie Dijkhuizen, Jayne Y. Hehir‐Kwa, et al.. (2012). Diagnostic interpretation of array data using public databases and internet sources. Human Mutation. 33(6). 930–940. 83 indexed citations
17.
Ameur, Adam, Ammar Zaghlool, Jonatan Halvardson, et al.. (2011). Total RNA sequencing reveals nascent transcription and widespread co-transcriptional splicing in the human brain. Nature Structural & Molecular Biology. 18(12). 1435–1440. 228 indexed citations
18.
Pang, Andy Wing Chun, Jeffrey R. MacDonald, Dalila Pinto, et al.. (2010). Towards a comprehensive structural variation map of an individual human genome. Genome biology. 11(5). R52–R52. 214 indexed citations
19.
Freeman, Jennifer L., George H. Perry, Lars Feuk, et al.. (2006). Copy number variation: New insights in genome diversity. Genome Research. 16(8). 949–961. 592 indexed citations breakdown →
20.
Feuk, Lars, Boo Johansson, Nenad Bogdanović, et al.. (2004). Variants of CYP46A1 may interact with age and APOE to influence CSF A�42 levels in Alzheimer?s disease. Human Genetics. 114(6). 581–587. 53 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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