Hans T. Björnsson

4.2k total citations · 1 hit paper
64 papers, 2.3k citations indexed

About

Hans T. Björnsson is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Hans T. Björnsson has authored 64 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Genetics, 40 papers in Molecular Biology and 4 papers in Cognitive Neuroscience. Recurrent topics in Hans T. Björnsson's work include Genetics and Neurodevelopmental Disorders (32 papers), Genomics and Rare Diseases (27 papers) and Epigenetics and DNA Methylation (26 papers). Hans T. Björnsson is often cited by papers focused on Genetics and Neurodevelopmental Disorders (32 papers), Genomics and Rare Diseases (27 papers) and Epigenetics and DNA Methylation (26 papers). Hans T. Björnsson collaborates with scholars based in United States, Iceland and Canada. Hans T. Björnsson's co-authors include Jill A. Fahrner, Kasper D. Hansen, Andrew P. Feinberg, Joel S. Benjamin, Leandros Boukas, Jón J. Jónsson, Giovanni A. Carosso, Loyal A. Goff, Genay Pilarowski and Martin I. Sigurðsson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and SHILAP Revista de lepidopterología.

In The Last Decade

Hans T. Björnsson

60 papers receiving 2.3k citations

Hit Papers

Intra-individual Change Over Time in DNA Methylation With... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans T. Björnsson United States 22 1.7k 1.2k 291 148 128 64 2.3k
Mark Corbett Australia 24 1.4k 0.8× 715 0.6× 428 1.5× 149 1.0× 190 1.5× 72 2.5k
Anna K. Naumova Canada 24 1.3k 0.8× 952 0.8× 230 0.8× 178 1.2× 96 0.8× 59 2.0k
Khaled K. Abu‐Amero Saudi Arabia 33 1.7k 1.0× 791 0.7× 250 0.9× 137 0.9× 197 1.5× 184 4.0k
Ann Nordgren Sweden 29 1.1k 0.7× 997 0.8× 391 1.3× 84 0.6× 246 1.9× 134 2.6k
Bregje W.M. van Bon Netherlands 19 1.3k 0.8× 1.7k 1.4× 404 1.4× 162 1.1× 185 1.4× 43 2.9k
Daria Grafodatskaya Canada 16 1.5k 0.9× 717 0.6× 371 1.3× 79 0.5× 169 1.3× 24 1.9k
Bai‐Lin Wu United States 20 799 0.5× 764 0.6× 543 1.9× 166 1.1× 121 0.9× 41 1.7k
Jillian S. Parboosingh Canada 29 936 0.6× 617 0.5× 306 1.1× 165 1.1× 142 1.1× 85 2.0k
Karin M. Dent United States 15 950 0.6× 1.1k 0.9× 137 0.5× 110 0.7× 264 2.1× 29 2.1k
Anders Bojesen Denmark 28 1.8k 1.0× 2.1k 1.8× 253 0.9× 74 0.5× 134 1.0× 53 3.2k

Countries citing papers authored by Hans T. Björnsson

Since Specialization
Citations

This map shows the geographic impact of Hans T. Björnsson'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 Hans T. Björnsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans T. Björnsson more than expected).

Fields of papers citing papers by Hans T. Björnsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans T. Björnsson. 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 Hans T. Björnsson. The network helps show where Hans T. Björnsson may publish in the future.

Co-authorship network of co-authors of Hans T. Björnsson

This figure shows the co-authorship network connecting the top 25 collaborators of Hans T. Björnsson. A scholar is included among the top collaborators of Hans T. Björnsson 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 Hans T. Björnsson. Hans T. Björnsson 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.
Gutiérrez-Uzquiza, Álvaro, Paloma Bragado, Michael March, et al.. (2025). N-Acetylcysteine for Hereditary Cystatin C Amyloid Angiopathy. JAMA Neurology. 82(5). 486–486.
3.
Lin, Wanying, Ryan C. Riddle, Leandros Boukas, et al.. (2024). Growth deficiency in a mouse model of Kabuki syndrome 2 bears mechanistic similarities to Kabuki syndrome 1. PLoS Genetics. 20(6). e1011310–e1011310. 2 indexed citations
4.
He, Jin, et al.. (2024). SMYD5 is a regulator of the mild hypothermia response. Cell Reports. 43(8). 114554–114554. 1 indexed citations
5.
Potter, Sarah J., Li Zhang, Yuehong Wu, et al.. (2024). KMT2D regulates activation, localization, and integrin expression by T-cells. Frontiers in Immunology. 15. 1341745–1341745. 2 indexed citations
6.
Harris, Jacqueline, et al.. (2023). Five years of experience in the Epigenetics and Chromatin Clinic: what have we learned and where do we go from here?. Human Genetics. 143(4). 607–624. 14 indexed citations
7.
Ng, Rowena, Hans T. Björnsson, Jill A. Fahrner, & Jacqueline Harris. (2023). Associations Between Executive Functioning, Behavioral Functioning, and Adaptive Functioning Difficulties in Wiedemann–Steiner Syndrome. Archives of Clinical Neuropsychology. 39(2). 186–195. 2 indexed citations
8.
Arnadottir, Gudny A., Brynjar Ö. Jensson, Aðalbjörg Jónasdóttir, et al.. (2023). A population-based survey of FBN1 variants in Iceland reveals underdiagnosis of Marfan syndrome. European Journal of Human Genetics. 32(1). 44–51. 4 indexed citations
9.
Jefri, Malvin, Xin Zhang, Patrick S. Stumpf, et al.. (2022). Kabuki syndrome stem cell models reveal locus specificity of histone methyltransferase 2D (KMT2D/MLL4). Human Molecular Genetics. 31(21). 3715–3728. 3 indexed citations
10.
Sigfússon, Gunnlaugur, et al.. (2022). Early cardiomyopathy without severe metabolic dysregulation in a patient with cblB‐type methylmalonic acidemia. Molecular Genetics & Genomic Medicine. 10(7). e1971–e1971. 4 indexed citations
11.
Han, Sangwoo T., et al.. (2022). A promoter variant in theOTCgene associated with late and variable age of onset hyperammonemia. Journal of Inherited Metabolic Disease. 45(4). 710–718. 4 indexed citations
12.
Luperchio, Teresa Romeo, Leandros Boukas, Li Zhang, et al.. (2021). Leveraging the Mendelian disorders of the epigenetic machinery to systematically map functional epigenetic variation. eLife. 10. 17 indexed citations
13.
Boukas, Leandros, Hans T. Björnsson, & Kasper D. Hansen. (2020). Promoter CpG Density Predicts Downstream Gene Loss-of-Function Intolerance. The American Journal of Human Genetics. 107(3). 487–498. 6 indexed citations
14.
Pilarowski, Genay, Li Zhang, Joel S. Benjamin, et al.. (2019). Abnormal Peyer patch development and B-cell gut homing drive IgA deficiency in Kabuki syndrome. Journal of Allergy and Clinical Immunology. 145(3). 982–992. 16 indexed citations
15.
Boukas, Leandros, James M. Havrilla, Peter F. Hickey, et al.. (2019). Coexpression patterns define epigenetic regulators associated with neurological dysfunction. Genome Research. 29(4). 532–542. 30 indexed citations
16.
Carosso, Giovanni A., Leandros Boukas, Jonathan J. Augustin, et al.. (2019). Precocious neuronal differentiation and disrupted oxygen responses in Kabuki syndrome. JCI Insight. 4(20). 39 indexed citations
17.
Adam, Margaret P, Siddharth Banka, Hans T. Björnsson, et al.. (2018). Kabuki syndrome: international consensus diagnostic criteria. Journal of Medical Genetics. 56(2). 89–95. 130 indexed citations
18.
Sigurðsson, Martin I., Albert V. Smith, Hans T. Björnsson, & Jón J. Jónsson. (2009). HapMap methylation-associated SNPs, markers of germline DNA methylation, positively correlate with regional levels of human meiotic recombination. Genome Research. 19(4). 581–589. 49 indexed citations
20.
Wen, Bo, Hao Wu, Hans T. Björnsson, et al.. (2008). Overlapping euchromatin/heterochromatin- associated marks are enriched in imprinted gene regions and predict allele-specific modification. Genome Research. 18(11). 1806–1813. 12 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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