Peter Schjerling

18.4k total citations · 2 hit papers
212 papers, 14.1k citations indexed

About

Peter Schjerling is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Peter Schjerling has authored 212 papers receiving a total of 14.1k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Molecular Biology, 91 papers in Physiology and 62 papers in Cell Biology. Recurrent topics in Peter Schjerling's work include Adipose Tissue and Metabolism (57 papers), Muscle Physiology and Disorders (56 papers) and Muscle metabolism and nutrition (51 papers). Peter Schjerling is often cited by papers focused on Adipose Tissue and Metabolism (57 papers), Muscle Physiology and Disorders (56 papers) and Muscle metabolism and nutrition (51 papers). Peter Schjerling collaborates with scholars based in Denmark, United States and United Kingdom. Peter Schjerling's co-authors include Bente Klarlund Pedersen, Michael Kjær, Adam Steensberg, Sisse Rye Ostrowski, Erik A. Richter, Jesper L. Andersen, Katja M. Heinemeier, Jørgen F. P. Wojtaszewski, Sven Asp and Thomas Rohde and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Immunology.

In The Last Decade

Peter Schjerling

211 papers receiving 13.8k citations

Hit Papers

align trajectories sort by overperformance

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.

Pro‐ and anti‐inflammatory cytokine balance in strenuous exercise in humans

1999 780 citations Peter Schjerling, Bente Klarlund Pedersen et al. The Journal of Physiology profile →
Interleukin-6 Stimulates Lipolysis and Fat Oxidation in Humans

2003 594 citations Gerrit van Hall, Adam Steensberg et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Peter Schjerling	6.1k	5.8k	3.9k	3.1k	2.2k	212	14.1k
Bente Kiens	9.8k 1.6×	6.5k 1.1×	2.3k 0.6×	6.7k 2.1×	1.9k 0.9×	259	18.2k
Gerrit van Hall	4.6k 0.8×	2.3k 0.4×	2.2k 0.6×	2.4k 0.7×	1.1k 0.5×	205	10.1k
Blake B. Rasmussen	6.6k 1.1×	5.5k 1.0×	2.1k 0.5×	7.2k 2.3×	662 0.3×	165	13.7k
Elena Volpi	10.3k 1.7×	5.5k 1.0×	1.9k 0.5×	8.6k 2.7×	839 0.4×	184	17.0k
H. Galbo	7.1k 1.2×	3.1k 0.5×	2.7k 0.7×	4.7k 1.5×	1.7k 0.8×	274	14.5k
Michael J. Rennie	6.9k 1.1×	5.4k 0.9×	2.6k 0.7×	8.9k 2.8×	1.0k 0.5×	184	15.7k
Marcas M. Bamman	3.9k 0.6×	4.2k 0.7×	1.4k 0.4×	2.5k 0.8×	685 0.3×	179	10.1k
Susan V. Brooks	2.8k 0.5×	4.9k 0.9×	2.2k 0.6×	1.7k 0.5×	919 0.4×	141	10.0k
Kenneth Smith	6.6k 1.1×	5.0k 0.9×	2.3k 0.6×	8.1k 2.6×	606 0.3×	222	13.4k
Jørn Wulff Helge	5.2k 0.8×	2.4k 0.4×	1.3k 0.3×	2.9k 0.9×	618 0.3×	254	9.6k

Countries citing papers authored by Peter Schjerling

Since Specialization

Citations

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

Fields of papers citing papers by Peter Schjerling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Schjerling

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Schjerling. A scholar is included among the top collaborators of Peter Schjerling 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 Schjerling. Peter Schjerling 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

Melin, Anna, Mia Beck Lichtenstein, Lennart Friis‐Hansen, et al.. (2025). Lower Bone Mineral Density in Female Elite Athletes With Menstrual Dysfunction From Mixed Sports. Translational Sports Medicine. 2025(1). 4969624–4969624.

Højfeldt, Grith, Peter Schjerling, Abigail L. Mackey, et al.. (2025). Effect of Current and Former Anabolic-Androgenic Steroid Abuse on the Patellar Tendon. The American Journal of Sports Medicine. 53(8). 1978–1987. 1 indexed citations

Karlsen, Anders, René B. Svensson, Peter Schjerling, et al.. (2024). Insulin‐like growth factor‐1 infusion in preterm piglets does not affect growth parameters of skeletal muscle or tendon tissue. Experimental Physiology. 109(9). 1529–1544. 1 indexed citations

Soendenbroe, Casper, Peter Schjerling, René B. Svensson, et al.. (2024). Muscle fibroblasts and stem cells stimulate motor neurons in an age and exercise‐dependent manner. Aging Cell. 24(3). e14413–e14413. 5 indexed citations

Kjøbsted, Rasmus, Jonas M. Kristensen, Kohei Kido, et al.. (2023). TBC1D4-S711 Controls Skeletal Muscle Insulin Sensitization After Exercise and Contraction. Diabetes. 72(7). 857–871. 10 indexed citations

Dollet, Lucile, Steffen H. Raun, Lisbeth L. V. Møller, et al.. (2023). TNIK is a conserved regulator of glucose and lipid metabolism in obesity. Science Advances. 9(32). 15 indexed citations

Yeung, Ching‐Yan Chloé, René B. Svensson, Nikolaj M. Malmgaard‐Clausen, et al.. (2023). Disruption of day‐to‐night changes in circadian gene expression with chronic tendinopathy. The Journal of Physiology. 602(23). 6509–6524. 9 indexed citations

Ågren, Magnus S., Thomas Litman, Jens Ole Eriksen, et al.. (2022). Gene Expression Linked to Reepithelialization of Human Skin Wounds. International Journal of Molecular Sciences. 23(24). 15746–15746. 23 indexed citations

Tsuchiya, Yoshifumi, Monika L. Bayer, Peter Schjerling, Casper Soendenbroe, & Michael Kjær. (2022). Human derived tendon cells contribute to myotube formation in vitro. Experimental Cell Research. 417(1). 113164–113164. 6 indexed citations

10.

Li, Jingwen, Jonas R. Knudsen, Carlos Henríquez‐Olguín, et al.. (2021). AXIN1 knockout does not alter AMPK/mTORC1 regulation and glucose metabolism in mouse skeletal muscle. The Journal of Physiology. 599(12). 3081–3100. 8 indexed citations

11.

Willumsen, Nicholas, Peter Schjerling, Edyta Biskup, et al.. (2021). A Human Cellular Model for Colorectal Anastomotic Repair: The Effect of Localization and Transforming Growth Factor-β1 Treatment on Collagen Deposition and Biomarkers. International Journal of Molecular Sciences. 22(4). 1616–1616. 4 indexed citations

12.

Ågren, Magnus S., Jens Ole Eriksen, Julie Lyng Forman, et al.. (2020). Spatial expression of metallothionein, matrix metalloproteinase-1 and Ki-67 in human epidermal wounds treated with zinc and determined by quantitative immunohistochemistry: A randomised double-blind trial. European Journal of Cell Biology. 100(3). 151147–151147. 10 indexed citations

13.

Møller, Lisbeth L. V., Rasmus Kjøbsted, Giselle A. Joseph, et al.. (2020). Insulin‐stimulated glucose uptake partly relies on p21‐activated kinase (PAK)2, but not PAK1, in mouse skeletal muscle. The Journal of Physiology. 598(23). 5351–5377. 19 indexed citations

14.

Herchenhan, Andreas, et al.. (2019). Early Growth Response Genes Increases Rapidly After Mechanical Overloading and Unloading in Tendon Constructs. Journal of Orthopaedic Research®. 38(1). 173–181. 13 indexed citations

15.

Eliasson, Pernilla, et al.. (2017). Simvastatin and atorvastatin reduce the mechanical properties of tendon constructs in vitro and introduce catabolic changes in the gene expression pattern. PLoS ONE. 12(3). e0172797–e0172797. 22 indexed citations

16.

Fentz, Joachim, Rasmus Kjøbsted, Jesper B. Birk, et al.. (2015). AMPKα is critical for enhancing skeletal muscle fatty acid utilization during in vivo exercise in mice. The FASEB Journal. 29(5). 1725–1738. 64 indexed citations

17.

Treebak, Jonas T., Christian Pehmøller, Jonas M. Kristensen, et al.. (2013). Acute exercise and physiological insulin induce distinct phosphorylation signatures on TBC1D1 and TBC1D4 proteins in human skeletal muscle. The Journal of Physiology. 592(2). 351–375. 92 indexed citations

18.

Maarbjerg, Stine, Sebastian B. Jørgensen, Adam J. Rose, et al.. (2009). Genetic impairment of AMPKα2 signaling does not reduce muscle glucose uptake during treadmill exercise in mice. American Journal of Physiology-Endocrinology and Metabolism. 297(4). E924–E934. 78 indexed citations

19.

Heinemeier, Katja M., Jes Olesen, F. Haddad, et al.. (2007). Expression of collagen and related growth factors in rat tendon and skeletal muscle in response to specific contraction types. The Journal of Physiology. 582(3). 1303–1316. 226 indexed citations

20.

Steensberg, Adam, Mark A. Febbraio, Takuya Osada, et al.. (2001). Interleukin‐6 production in contracting human skeletal muscle is influenced by pre‐exercise muscle glycogen content. The Journal of Physiology. 537(2). 633–639. 347 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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