Karolina A. Åberg

4.6k total citations · 1 hit paper
72 papers, 2.9k citations indexed

About

Karolina A. Åberg is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Karolina A. Åberg has authored 72 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 42 papers in Genetics and 7 papers in Physiology. Recurrent topics in Karolina A. Åberg's work include Epigenetics and DNA Methylation (39 papers), Genetic Associations and Epidemiology (34 papers) and Genetic Syndromes and Imprinting (16 papers). Karolina A. Åberg is often cited by papers focused on Epigenetics and DNA Methylation (39 papers), Genetic Associations and Epidemiology (34 papers) and Genetic Syndromes and Imprinting (16 papers). Karolina A. Åberg collaborates with scholars based in United States, Sweden and Netherlands. Karolina A. Åberg's co-authors include Edwin J. C. G. van den Oord, Joseph L. McClay, Shaunna L. Clark, Robin F. Chan, Patrick F. Sullivan, Lin Xie, Daniel E. Adkins, Elena Jazin, Andrey A. Shabalin and Peter Saetre and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Karolina A. Åberg

71 papers receiving 2.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Association of Childhood Trauma Exposure With Adult Psychiatric Disorders and Functional Outcomes

2018 313 citations William Copeland, Robin F. Chan et al. profile →

Peers

Karolina A. Åberg

GENET

PMH

Zachary Kaminsky United States

Kathryn L. Evans United Kingdom

Renato Polimanti United States

Marsha Wilcox United States

Silviu‐Alin Bacanu United States

Fatemeh Haghighi United States

Chloe C. Y. Wong United Kingdom

Mark W. Logue United States

Sarah E. Bergen Sweden

Edwin J. C. G. van den Oord United States

Zachary Kaminsky United States

Karolina A. Åberg

2.1k ×1.4

989 ×1.1

GENET

253 ×0.6

PMH

541 ×1.5

307 ×1.1

Citations per year, relative to Karolina A. Åberg Karolina A. Åberg (= 1×) peers Zachary Kaminsky

Countries citing papers authored by Karolina A. Åberg

Since Specialization

Citations

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

Fields of papers citing papers by Karolina A. Åberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karolina A. Åberg. 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 Karolina A. Åberg. The network helps show where Karolina A. Åberg may publish in the future.

Co-authorship network of co-authors of Karolina A. Åberg

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

All Works

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20 of 20 papers shown

Oord, Edwin J. C. G. van den & Karolina A. Åberg. (2023). Fine-grained cell-type specific association studies with human bulk brain data using a large single-nucleus RNA sequencing based reference panel. Scientific Reports. 13(1). 13004–13004. 2 indexed citations

Hettema, John M., Edwin J. C. G. van den Oord, Min Zhao, et al.. (2023). Methylome-wide association study of anxiety disorders. Molecular Psychiatry. 28(8). 3484–3492. 8 indexed citations

Oord, Edwin J. C. G. van den, Lin Xie, Min Zhao, Karolina A. Åberg, & Shaunna L. Clark. (2022). A single‐nucleus transcriptomics study of alcohol use disorder in the nucleus accumbens. Addiction Biology. 28(1). e13250–e13250. 10 indexed citations

Guintivano, Jerry, Karolina A. Åberg, Shaunna L. Clark, et al.. (2022). Transcriptome-wide association study for postpartum depression implicates altered B-cell activation and insulin resistance. Molecular Psychiatry. 27(6). 2858–2867. 19 indexed citations

Clark, Shaunna L., Robin F. Chan, Min Zhao, et al.. (2021). Dual methylation and hydroxymethylation study of alcohol use disorder. Addiction Biology. 27(2). e13114–e13114. 11 indexed citations

Oord, Edwin J. C. G. van den, et al.. (2021). A targeted solution for estimating the cell-type composition of bulk samples. BMC Bioinformatics. 22(1). 462–462. 3 indexed citations

Jansen, Rick, Laura K. M. Han, Josine E. Verhoeven, et al.. (2021). An integrative study of five biological clocks in somatic and mental health. eLife. 10. 63 indexed citations

Szatkiewicz, Jin, James J. Crowley, Annelie Nordin Adolfsson, et al.. (2019). The genomics of major psychiatric disorders in a large pedigree from Northern Sweden. Translational Psychiatry. 9(1). 60–60. 11 indexed citations

Åberg, Karolina A., Andrey A. Shabalin, Robin F. Chan, et al.. (2018). Convergence of evidence from a methylome-wide CpG-SNP association study and GWAS of major depressive disorder. Translational Psychiatry. 8(1). 162–162. 15 indexed citations

10.

Åberg, Karolina A., Brian Dean, Andrey A. Shabalin, et al.. (2018). Methylome-wide association findings for major depressive disorder overlap in blood and brain and replicate in independent brain samples. Molecular Psychiatry. 25(6). 1344–1354. 48 indexed citations

11.

Åberg, Karolina A., Robin F. Chan, Linying Xie, Andrey A. Shabalin, & Edwin J. C. G. van den Oord. (2017). Methyl-CpG-Binding Domain Sequencing: MBD-seq. Methods in molecular biology. 1708. 171–189. 18 indexed citations

12.

Clark, Shaunna L., Joseph L. McClay, Daniel E. Adkins, et al.. (2015). Deep Sequencing of Three Loci Implicated in Large-Scale Genome-Wide Association Study Smoking Meta-Analyses. Nicotine & Tobacco Research. 18(5). 626–631. 10 indexed citations

13.

Luo, Xiong‐Jian, Liang Huang, Edwin J. van den Oord, et al.. (2014). Common Variants in the MKL1 Gene Confer Risk of Schizophrenia. Schizophrenia Bulletin. 41(3). 715–727. 14 indexed citations

14.

Oord, Edwin JCG van den, József Bukszár, Gábor Rudolf, et al.. (2013). Estimation of CpG coverage in whole methylome next-generation sequencing studies. BMC Bioinformatics. 14(1). 50–50. 22 indexed citations

15.

Adkins, Daniel E., Shaunna L. Clark, Karolina A. Åberg, et al.. (2012). Genome-wide pharmacogenomic study of citalopram-induced side effects in STAR*D. Translational Psychiatry. 2(7). e129–e129. 37 indexed citations

16.

Adkins, Daniel E., Karolina A. Åberg, Joseph L. McClay, et al.. (2010). Genomewide pharmacogenomic study of metabolic side effects to antipsychotic drugs. Molecular Psychiatry. 16(3). 321–332. 118 indexed citations

17.

McClay, Joseph L., Daniel E. Adkins, Karolina A. Åberg, et al.. (2009). Genome-wide pharmacogenomic analysis of response to treatment with antipsychotics. Molecular Psychiatry. 16(1). 76–85. 110 indexed citations

18.

Åberg, Karolina A., Guangyun Sun, Diane T. Smelser, et al.. (2008). Applying Novel Genome-Wide Linkage Strategies to Search for Loci Influencing Type 2 Diabetes and Adult Height in American Samoa. Human Biology. 80(2). 99–123. 3 indexed citations

19.

Presson, Angela P., Eric M. Sobel, Päivi Pajukanta, et al.. (2008). Merging microsatellite data: enhanced methodology and software to combine genotype data for linkage and association analysis. BMC Bioinformatics. 9(1). 317–317. 5 indexed citations

20.

Åberg, Karolina A., Peter Saetre, Eva Lindholm, et al.. (2005). Human QKI, a new candidate gene for schizophrenia involved in myelination. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 141B(1). 84–90. 90 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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