Kasper D. Hansen

35.7k citations

75 papers · 10.6k indexed · 5 hit papers · h-index 40

Impact in

Molecular Biology top 0.5%
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Gene expression and cancer classification
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
Cancer Research top 1%
- Cancer-related molecular mechanisms research

Papers in

Genetics 25
- Genetic Syndromes and Imprinting 11
- Genetics and Neurodevelopmental Disorders 10
- Genomics and Rare Diseases 9
Molecular Biology 60
- Epigenetics and DNA Methylation 29
- RNA modifications and cancer 23
- Gene expression and cancer classification 14
- Single-cell and spatial transcriptomics 9
- Genomics and Chromatin Dynamics 9

Co-authors: Rafael A. Irizarry Andrew P. Feinberg Sandrine Dudoit Martin J. Aryee Héctor Corrada Bravo Christine Ladd‐Acosta Andrew E. Jaffe Ben Langmead
Journals: Genome biology (11 papers)PLoS Genetics (4 papers)Genome Research (4 papers)Bioinformatics (3 papers)Biostatistics (3 papers)
Partner nations: United States Iceland Germany

In The Last Decade

Kasper D. Hansen

73 papers receiving 10.5k citations

Hit Papers

5 papers align trajectories log scale

Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi 2016 · 508 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2016 Bioinformatics
2014 Genome biology
2014 Bioinformatics
2011 Nature Genetics
2010 BMC Bioinformatics

Peers

Countries citing papers authored by Kasper D. Hansen

Since Specialization

Citations

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

Fields of papers citing papers by Kasper D. Hansen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kasper D. Hansen. 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 Kasper D. Hansen. The network helps show where Kasper D. Hansen may publish in the future.

Co-authors

The 25 scholars most cited alongside Kasper D. Hansen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kasper D. Hansen Line = papers co-authored together Kasper D. Hansen links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Single-cell spatial transcriptomics reveals immunotherapy-driven bone marrow niche remodeling in AML Science Advances ·Gege Gui, 隆司野津, Jeremy Herzog, Abigail Wong-Rolle, Laura W. Dillon, Meghali Goswami, Л Н Москвин, Jason Reeves, Sean Kim, Jin X. Zhang, Kamila Koteish, George Zaki, Prajan Divakar, Erika Průchová, Katherine R. Calvo, Christopher S. Hourigan, Kasper D. Hansen, Chen Zhao	2025	1
2	Removing unwanted variation between samples in Hi-C experiments Briefings in Bioinformatics ·Kipper Fletez‐Brant, Yunjiang Qiu, David U. Gorkin, Ming Hu, Kasper D. Hansen	2024	3
3	Growth deficiency in a mouse model of Kabuki syndrome 2 bears mechanistic similarities to Kabuki syndrome 1 PLoS Genetics ·J HURWITZ, Wanying Lin, Ryan C. Riddle, Simona Sparaco, Juhsin T. Fu, Leandros Boukas, Kasper D. Hansen, Hans T. Björnsson, Jill A. Fahrner	2024	2
4	Large-scale genotype prediction from RNA sequence data necessitates a new ethical and policy framework Nature Genetics ·Mary A. Majumder, Jeffrey T. Leek, Kasper D. Hansen, Chris Fetter, Amy L. McGuire	2024	1
5	`recountmethylation` enables flexible analysis of public blood DNA methylation array data Bioinformatics Advances ·Sean K. Maden, Brian Walsh, Kyle Ellrott, Kasper D. Hansen, Reid F. Thompson, Abhinav Nellore	2023	2
6	Comprehensive DNA Methylation Analysis Indicates That Pancreatic Intraepithelial Neoplasia Lesions Are Acinar-Derived and Epigenetically Primed for Carcinogenesis Cancer Research ·Rosemary Bradley, Nadiya Navaser, H. Carlo Maurer, Adrian Idrizi, Kasper D. Hansen, Elizabeth D. Thompson, (unknown), Ralph H. Hruban, Kenneth P. Olive, Andrew P. Feinberg	2023	11
7	Pumping the brakes on RNA velocity by understanding and interpreting RNA velocity estimates Genome biology ·Shijie Zheng, Genevieve Stein-O’Brien, Leandros Boukas, Loyal A. Goff, Kasper D. Hansen	2023	25
8	A mammalian methylation array for profiling methylation levels at conserved sequences Nature Communications ·A Arneson, Amin Haghani, Michael J. Thompson, Matteo Pellegrini, Soo Bin Kwon, Ha Vu, 郁子野田, M. Yao, Caesar Z. Li, Ake T. Lu, Marco Morselli, Liudmilla Rubbi, Bret Barnes, Kasper D. Hansen, Wanding Zhou, Charles E. Breeze, Jason Ernst, Steve Horvath	2022	104
9	Addressing the mean-correlation relationship in co-expression analysis PLoS Computational Biology ·Yi Wang, Stephanie C. Hicks, Kasper D. Hansen	2022	11
10	Human methylome variation across Infinium 450K data on the Gene Expression Omnibus NAR Genomics and Bioinformatics ·Sean K. Maden, Reid F. Thompson, Kasper D. Hansen, Abhinav Nellore	2021	9
11	Highly multiplexed oligonucleotide probe-ligation testing enables efficient extraction-free SARS-CoV-2 detection and viral genotyping Modern Pathology ·Joel J. Credle, Matthew L. Robinson, Jonathan Gunn, Daniel R. Monaco, Brandon Sie, Н.Ф. Беляева, Justin Hardick, 宏堯呉, Kathryn Shaw‐Saliba, Richard E. Rothman, Susan H. Eshleman, Andrew Pekosz, Kasper D. Hansen, Heba H. Mostafa, Martin Steinegger, H. Benjamin Larman	2021	11
12	Leveraging the Mendelian disorders of the epigenetic machinery to systematically map functional epigenetic variation eLife ·Teresa Romeo Luperchio, Leandros Boukas, Li Zhang, Genay Pilarowski, Jiawei Cao, Val Hyginus Udoka Eze, Kasper D. Hansen, Hans T. Björnsson	2021	17
13	Promoter CpG Density Predicts Downstream Gene Loss-of-Function Intolerance The American Journal of Human Genetics ·Leandros Boukas, Hans T. Björnsson, Kasper D. Hansen	2020	6
14	Analyzing whole genome bisulfite sequencing data from highly divergent genotypes Nucleic Acids Research ·Phillip Wulfridge, Ben Langmead, Andrew P. Feinberg, Kasper D. Hansen	2019	18
15	Precocious neuronal differentiation and disrupted oxygen responses in Kabuki syndrome JCI Insight ·Giovanni A. Carosso, Leandros Boukas, Jonathan J. Augustin, Ha Nam Nguyen, Briana L. Winer, Gabrielle H. Cannon, Emilie Turunen, Li Zhang, Kasper D. Hansen, Loyal A. Goff, Hans T. Björnsson	2019	39
16	Software for the Integration of Multiomics Experiments in Bioconductor Cancer Research ·Marcel Ramos, Lucas Schiffer, Angela Re, Rimsha Azhar, Mary O’ Penetrante, Carmen Rodrı́guez, Tiffany Chan, N. Lochbuehler, Sean Davis, David Gómez-Cabrero, Aedín C. Culhane, Benjamin Haibe‐Kains, Kasper D. Hansen, Hanish Kodali, Dorothy E. Leidner, Arvind Singh Mer, Markus Riester, Martin Morgan, Vince Carey, Levi Waldron	2017	61
17	Rail-dbGaP: analyzing dbGaP-protected data in the cloud with Amazon Elastic MapReduce Bioinformatics ·Abhinav Nellore, Christopher Wilks, Kasper D. Hansen, Jeffrey T. Leek, Ben Langmead	2016	3
18	Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi Bioinformatics ·Daheng Wang, Timothy J. Triche, Kasper D. Hansen Hit paper breakdown →	2016	508
19	Functional normalization of 450k methylation array data improves replication in large cancer studies Genome biology ·Daheng Wang, Aurélie Labbe, Mathieu Lemire, Brent W. Zanke, Thomas J. Hudson, Elana J. Fertig, Celia M.T. Greenwood, Kasper D. Hansen Hit paper breakdown →	2014	495
20	Social environment is associated with gene regulatory variation in the rhesus macaque immune system Proceedings of the National Academy of Sciences ·Jenny Tung, Luis B. Barreiro, Zachary P. Johnson, Kasper D. Hansen, Vasiliki Michopoulos, Donna Toufexis, Katelyn Michelini, Michelle Wilson, Yoav Gilad	2012	203

About Kasper D. Hansen

Kasper D. Hansen is a scholar working on Genetics, Molecular Biology, Medical Laboratory Technology, Cancer Research and Biophysics, having authored 75 papers that have together received 10.6k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (29 papers), RNA modifications and cancer (23 papers), Gene expression and cancer classification (14 papers), Genetic Syndromes and Imprinting (11 papers), Genetics and Neurodevelopmental Disorders (10 papers), Genomics and Rare Diseases (9 papers), Single-cell and spatial transcriptomics (9 papers) and Genomics and Chromatin Dynamics (9 papers). The work is most often cited by research in Molecular Biology (8.1k citations), Cancer Research (1.5k citations), Genetics (2.4k citations), Aging (88 citations) and Pediatrics, Perinatology and Child Health (986 citations). Kasper D. Hansen has collaborated with scholars based in United States, Iceland and Germany. Frequent co-authors include Rafael A. Irizarry, Andrew P. Feinberg, Sandrine Dudoit, Martin J. Aryee, Héctor Corrada Bravo, Christine Ladd‐Acosta, Andrew E. Jaffe, Ben Langmead, James Bullard and Elizabeth Purdom. Their work appears in journals such as Genome biology, PLoS Genetics, Genome Research, Bioinformatics and Biostatistics.

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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