Peter K. Davidsen

1.6k total citations
9 papers, 587 citations indexed

About

Peter K. Davidsen is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Peter K. Davidsen has authored 9 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Physiology and 3 papers in Genetics. Recurrent topics in Peter K. Davidsen's work include Adipose Tissue and Metabolism (6 papers), Muscle Physiology and Disorders (2 papers) and MicroRNA in disease regulation (2 papers). Peter K. Davidsen is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Muscle Physiology and Disorders (2 papers) and MicroRNA in disease regulation (2 papers). Peter K. Davidsen collaborates with scholars based in United Kingdom, Denmark and Germany. Peter K. Davidsen's co-authors include Flemming Dela, Jørn Wulff Helge, Iain J. Gallagher, Joseph W. Hartman, Mark A. Tarnopolsky, Stuart M. Phillips, James A. Timmons, Francesco Falciani, Jens C. Brüning and Andreas Beyer and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Applied Physiology.

In The Last Decade

Peter K. Davidsen

9 papers receiving 580 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter K. Davidsen United Kingdom 8 310 183 146 86 80 9 587
Evelyn Zacharewicz Australia 16 383 1.2× 354 1.9× 136 0.9× 163 1.9× 14 0.2× 20 803
Bailey D. Peck United States 16 482 1.6× 373 2.0× 56 0.4× 120 1.4× 17 0.2× 25 795
Marita A. Wallace Australia 14 467 1.5× 507 2.8× 33 0.2× 212 2.5× 36 0.5× 19 885
Gesa Santos Switzerland 11 390 1.3× 403 2.2× 49 0.3× 103 1.2× 20 0.3× 14 611
Douglas W. Van Pelt United States 14 351 1.1× 338 1.8× 61 0.4× 165 1.9× 7 0.1× 29 708
Jonathan Rachman United Kingdom 9 267 0.9× 158 0.9× 20 0.1× 66 0.8× 24 0.3× 13 669
Pascale Bayer France 8 234 0.8× 88 0.5× 187 1.3× 27 0.3× 21 0.3× 10 506
Timo Kanzleiter Germany 12 244 0.8× 200 1.1× 24 0.2× 66 0.8× 18 0.2× 14 474
Satoshi Ikeda Japan 11 163 0.5× 158 0.9× 33 0.2× 31 0.4× 25 0.3× 24 516
Chiyoko Hirofuji Japan 12 137 0.4× 198 1.1× 16 0.1× 81 0.9× 48 0.6× 15 360

Countries citing papers authored by Peter K. Davidsen

Since Specialization
Citations

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

Fields of papers citing papers by Peter K. Davidsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter K. Davidsen. 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 Peter K. Davidsen. The network helps show where Peter K. Davidsen may publish in the future.

Co-authorship network of co-authors of Peter K. Davidsen

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

All Works

9 of 9 papers shown
1.
Steuernagel, Lukas, Brian Lam, Paul Klemm, et al.. (2022). HypoMap—a unified single-cell gene expression atlas of the murine hypothalamus. Nature Metabolism. 4(10). 1402–1419. 131 indexed citations
2.
Takeshita, Louise Y.C., Peter K. Davidsen, John Herbert, et al.. (2021). Genomics and transcriptomics landscapes associated to changes in insulin sensitivity in response to endurance exercise training. Scientific Reports. 11(1). 23314–23314. 2 indexed citations
3.
Henriksen, Tora, Peter K. Davidsen, Maria Pedersen, et al.. (2017). Dysregulation of a novel miR-23b/27b-p53 axis impairs muscle stem cell differentiation of humans with type 2 diabetes. Molecular Metabolism. 6(7). 770–779. 23 indexed citations
4.
Kristensen, Malene M., Peter K. Davidsen, Andreas Vigelsø, et al.. (2017). miRNAs in human subcutaneous adipose tissue: Effects of weight loss induced by hypocaloric diet and exercise. Obesity. 25(3). 572–580. 37 indexed citations
5.
Brina, Daniela, Annarita Miluzio, Sara Ricciardi, et al.. (2015). eIF6 coordinates insulin sensitivity and lipid metabolism by coupling translation to transcription. Nature Communications. 6(1). 8261–8261. 73 indexed citations
6.
Davidsen, Peter K., Nil Turan, Stuart Egginton, & Francesco Falciani. (2015). Multilevel functional genomics data integration as a tool for understanding physiology: a network biology perspective. Journal of Applied Physiology. 120(3). 297–309. 7 indexed citations
7.
Sarzynski, Mark A., Peter K. Davidsen, Yan V. Sun, et al.. (2015). Genomic and transcriptomic predictors of triglyceride response to regular exercise. British Journal of Sports Medicine. 49(23). 1524–1531. 11 indexed citations
8.
Davidsen, Peter K., John Herbert, Philipp Antczak, et al.. (2014). A systems biology approach reveals a link between systemic cytokines and skeletal muscle energy metabolism in a rodent smoking model and human COPD. Genome Medicine. 6(8). 59–59. 15 indexed citations
9.
Davidsen, Peter K., Iain J. Gallagher, Joseph W. Hartman, et al.. (2010). High responders to resistance exercise training demonstrate differential regulation of skeletal muscle microRNA expression. Journal of Applied Physiology. 110(2). 309–317. 288 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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2026