Cajsa Davegårdh

1.1k total citations · 1 hit paper
7 papers, 757 citations indexed

About

Cajsa Davegårdh is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Cajsa Davegårdh has authored 7 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Physiology and 3 papers in Genetics. Recurrent topics in Cajsa Davegårdh's work include Epigenetics and DNA Methylation (5 papers), Genetics and Neurodevelopmental Disorders (3 papers) and RNA modifications and cancer (2 papers). Cajsa Davegårdh is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Genetics and Neurodevelopmental Disorders (3 papers) and RNA modifications and cancer (2 papers). Cajsa Davegårdh collaborates with scholars based in Sweden, Denmark and Finland. Cajsa Davegårdh's co-authors include Charlotte Ling, Petr Volkov, Elin Hall, Tina Rönn, Emma Nilsson, Karl Bacos, Sonia García-Calzón, Leif Groop, Tasnim Dayeh and Helena A. Jones and has published in prestigious journals such as Nature Communications, Scientific Reports and PLoS Genetics.

In The Last Decade

Cajsa Davegårdh

7 papers receiving 750 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.

A Six Months Exercise Intervention Influences the Genome-wide DNA Methylation Pattern in Human Adipose Tissue

2013 457 citations Tina Rönn, Petr Volkov et al. PLoS Genetics profile →

Peers

Cajsa Davegårdh

MB

PHYSI

GENET

PPCH

SURGE

Helena A. Jones Sweden

Camilla H. Sandholt Denmark

Martin Magner Czechia

Lise Wegner Denmark

Mette Soerensen Denmark

Jonathan M. Mudry Sweden

Jesper O. Clausen Denmark

Xingrao Ke United States

Mie Mechta Denmark

Elias Salfati United States

Helena A. Jones Sweden

Cajsa Davegårdh

532 ×1.0

MB

281 ×1.1

PHYSI

130 ×0.7

GENET

129 ×0.8

PPCH

164 ×1.5

SURGE

Citations per year, relative to Cajsa Davegårdh Cajsa Davegårdh (= 1×) peers Helena A. Jones

Countries citing papers authored by Cajsa Davegårdh

Since Specialization

Citations

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

Fields of papers citing papers by Cajsa Davegårdh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cajsa Davegårdh

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

All Works

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7 of 7 papers shown

1.

Ling, Charlotte, Magdaléna Vaváková, Alexander Perfilyev, et al.. (2024). Multiomics profiling of DNA methylation, microRNA, and mRNA in skeletal muscle from monozygotic twin pairs discordant for type 2 diabetes identifies dysregulated genes controlling metabolism. BMC Medicine. 22(1). 572–572. 3 indexed citations

2.

Davegårdh, Cajsa, Anna Benrick, Christa Broholm, et al.. (2021). VPS39-deficiency observed in type 2 diabetes impairs muscle stem cell differentiation via altered autophagy and epigenetics. Nature Communications. 12(1). 2431–2431. 25 indexed citations

3.

Ågren, Rasmus, Cajsa Davegårdh, Petr Volkov, et al.. (2019). ATAC-seq reveals alterations in open chromatin in pancreatic islets from subjects with type 2 diabetes. Scientific Reports. 9(1). 7785–7785. 43 indexed citations

4.

Davegårdh, Cajsa, Elin Hall, Christa Broholm, et al.. (2019). Sex influences DNA methylation and gene expression in human skeletal muscle myoblasts and myotubes. Stem Cell Research & Therapy. 10(1). 26–26. 55 indexed citations

5.

Davegårdh, Cajsa, Sonia García-Calzón, Karl Bacos, & Charlotte Ling. (2018). DNA methylation in the pathogenesis of type 2 diabetes in humans. Molecular Metabolism. 14. 12–25. 129 indexed citations

6.

Davegårdh, Cajsa, Christa Broholm, Alexander Perfilyev, et al.. (2017). Abnormal epigenetic changes during differentiation of human skeletal muscle stem cells from obese subjects. BMC Medicine. 15(1). 39–39. 45 indexed citations

7.

Rönn, Tina, Petr Volkov, Cajsa Davegårdh, et al.. (2013). A Six Months Exercise Intervention Influences the Genome-wide DNA Methylation Pattern in Human Adipose Tissue. PLoS Genetics. 9(6). e1003572–e1003572. 457 indexed citations breakdown →

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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