Marjan Pontén

473 total citations
20 papers, 364 citations indexed

About

Marjan Pontén is a scholar working on Cell Biology, Molecular Biology and Physiology. According to data from OpenAlex, Marjan Pontén has authored 20 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cell Biology, 8 papers in Molecular Biology and 6 papers in Physiology. Recurrent topics in Marjan Pontén's work include Muscle metabolism and nutrition (10 papers), Sports Performance and Training (5 papers) and Adipose Tissue and Metabolism (5 papers). Marjan Pontén is often cited by papers focused on Muscle metabolism and nutrition (10 papers), Sports Performance and Training (5 papers) and Adipose Tissue and Metabolism (5 papers). Marjan Pontén collaborates with scholars based in Sweden. Marjan Pontén's co-authors include Yasmin L. Hurd, Kent Sahlin, William Apró, Eva Blomstrand, Li Wang, Björn Ekblom, Maria Ekblom, Marcus Moberg, Eva Andersson and A. R. Villanueva and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and The Journal of Physiology.

In The Last Decade

Marjan Pontén

19 papers receiving 358 citations

Peers

Marjan Pontén
Jonathan H. England United States
Francesca Solagna Italy
Nicholas J. Saner Australia
Aline Priscila Pansani Brazil
Tomiko Yakura Japan
Deanna Horvath Australia
Judit Homs Spain
Matthew J-C Lee Australia
Patrick Schneeweiß Germany
Brian Turnquist United States
Jonathan H. England United States
Marjan Pontén
Citations per year, relative to Marjan Pontén Marjan Pontén (= 1×) peers Jonathan H. England

Countries citing papers authored by Marjan Pontén

Since Specialization
Citations

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

Fields of papers citing papers by Marjan Pontén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marjan Pontén

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

All Works

20 of 20 papers shown
1.
Pontén, Marjan, Oscar Horwath, William Apró, et al.. (2025). Use of skeletal muscle fiber composition to assess relationship between amino acid metabolism and insulin sensitivity. European Journal of Endocrinology. 193(4). 453–463.
2.
Pontén, Marjan, et al.. (2025). Relationship Between Insulin Sensitivity and Hyperinsulinemia in Early Insulin Resistance is Sex-dependent. The Journal of Clinical Endocrinology & Metabolism. 111(1). e234–e239. 1 indexed citations
3.
Tarassova, Olga, Yiwen Jiang, Helena Wallin, et al.. (2025). Arterial–venous differences of brain‐derived neurotrophic factor isoforms across the brain and muscle after exercise at different intensities. The Journal of Physiology. 5 indexed citations
4.
Pontén, Marjan, Oscar Horwath, William Apró, et al.. (2024). Elevated heart rate and decreased muscle endothelial nitric oxide synthase in early development of insulin resistance. American Journal of Physiology-Endocrinology and Metabolism. 327(2). E172–E182. 7 indexed citations
5.
Fernström, Maria, Emerald G. Heiland, Marjan Pontén, et al.. (2023). Effects of prolonged sitting and physical activity breaks on measures of arterial stiffness and cortisol in adolescents. Acta Paediatrica. 112(5). 1011–1018. 2 indexed citations
6.
Horwath, Oscar, Marcus Moberg, Marjan Pontén, et al.. (2023). Insulin resistance after a 3-day fast is associated with an increased capacity of skeletal muscle to oxidize lipids. American Journal of Physiology-Endocrinology and Metabolism. 324(5). E390–E401. 10 indexed citations
7.
Pontén, Marjan, et al.. (2022). Reliability of the accelerometer to control the effects of physical activity in older adults. PLoS ONE. 17(9). e0274442–e0274442. 8 indexed citations
8.
Ekblom, Maria, Victoria Blom, Olga Tarassova, et al.. (2022). Acute effects of physical activity patterns on plasma cortisol and brain-derived neurotrophic factor in relation to corticospinal excitability. Behavioural Brain Research. 430. 113926–113926. 3 indexed citations
9.
Horwath, Oscar, Marcus Moberg, Marjan Pontén, et al.. (2022). Extreme Variations in Muscle Fiber Composition Enable Detection of Insulin Resistance and Excessive Insulin Secretion. The Journal of Clinical Endocrinology & Metabolism. 107(7). e2729–e2737. 14 indexed citations
10.
Andersson, Eva, Marjan Pontén, Björn Ekblom, et al.. (2017). Improving Strength, Power, Muscle Aerobic Capacity, and Glucose Tolerance through Short-term Progressive Strength Training Among Elderly People. Journal of Visualized Experiments. 4 indexed citations
11.
Andersson, Eva, Marjan Pontén, Björn Ekblom, et al.. (2017). Improving Strength, Power, Muscle Aerobic Capacity, and Glucose Tolerance through Short-term Progressive Strength Training Among Elderly People. Journal of Visualized Experiments. 3 indexed citations
12.
Moberg, Marcus, C. Mikael Mattsson, Elin Ekblom‐Bak, et al.. (2017). Increased autophagy signaling but not proteasome activity in human skeletal muscle after prolonged low‐intensity exercise with negative energy balance. Physiological Reports. 5(23). 10 indexed citations
13.
Andersson, Eva, et al.. (2015). Strength training improves muscle aerobic capacity and glucose tolerance in elderly. Scandinavian Journal of Medicine and Science in Sports. 26(7). 764–773. 43 indexed citations
14.
Mattsson, C. Mikael, et al.. (2015). Effects of prolonged low intensity exercise with energy deficit (military training operation) on markers of muscle protein turnover.. 1 indexed citations
15.
Apró, William, Li Wang, Marjan Pontén, Eva Blomstrand, & Kent Sahlin. (2013). Resistance exercise induced mTORC1 signaling is not impaired by subsequent endurance exercise in human skeletal muscle. American Journal of Physiology-Endocrinology and Metabolism. 305(1). E22–E32. 83 indexed citations
16.
Moberg, Marcus, William Apró, Marjan Pontén, et al.. (2013). Absence of leucine in an essential amino acid supplement reduces activation of mTORC1 signalling following resistance exercise in young females. Applied Physiology Nutrition and Metabolism. 39(2). 183–194. 33 indexed citations
17.
18.
Hurd, Yasmin L., et al.. (1999). The Role of Dopamine, Dynorphin, and CART Systems in the Ventral Striatum and Amygdala in Cocaine Abuse. Annals of the New York Academy of Sciences. 877(1). 499–506. 57 indexed citations
19.
Hurd, Yasmin L., et al.. (1997). Dopamine Efflux Studies into in Vivo Actions of Psychostimulant Drugs. Advances in pharmacology. 1010–1013. 2 indexed citations
20.
Hurd, Yasmin L., et al.. (1997). In vivo Amygdala Dopamine Levels Modulate Cocaine Self‐administration Behaviour in the Rat: D1 Dopamine Receptor Involvement. European Journal of Neuroscience. 9(12). 2541–2548. 64 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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