William Apró

1.8k total citations
45 papers, 1.3k citations indexed

About

William Apró is a scholar working on Cell Biology, Molecular Biology and Physiology. According to data from OpenAlex, William Apró has authored 45 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cell Biology, 26 papers in Molecular Biology and 19 papers in Physiology. Recurrent topics in William Apró's work include Muscle metabolism and nutrition (33 papers), Muscle Physiology and Disorders (20 papers) and Adipose Tissue and Metabolism (17 papers). William Apró is often cited by papers focused on Muscle metabolism and nutrition (33 papers), Muscle Physiology and Disorders (20 papers) and Adipose Tissue and Metabolism (17 papers). William Apró collaborates with scholars based in Sweden, Denmark and United Kingdom. William Apró's co-authors include Eva Blomstrand, Björn Ekblom, Marcus Moberg, Filip J. Larsen, Hans‐Christer Holmberg, Mikael Flockhart, Oscar Horwath, Lina C. Nilsson, Gerrit van Hall and Marjan Pontén 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

William Apró

42 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Apró Sweden 20 661 550 534 345 332 45 1.3k
Cody T. Haun United States 21 543 0.8× 406 0.7× 350 0.7× 276 0.8× 601 1.8× 55 1.4k
Christopher G. Vann United States 20 460 0.7× 419 0.8× 359 0.7× 227 0.7× 355 1.1× 34 1.0k
Chad C. Carroll United States 23 598 0.9× 565 1.0× 541 1.0× 447 1.3× 611 1.8× 69 1.8k
Kevin A. Zwetsloot United States 21 243 0.4× 449 0.8× 537 1.0× 290 0.8× 332 1.0× 53 1.4k
David M. Gundermann United States 19 1.3k 1.9× 994 1.8× 984 1.8× 355 1.0× 343 1.0× 26 2.0k
Aaron W. Staples Canada 7 903 1.4× 399 0.7× 414 0.8× 339 1.0× 693 2.1× 8 1.4k
Elisa I. Glover Canada 14 1.3k 2.0× 881 1.6× 950 1.8× 432 1.3× 504 1.5× 16 2.0k
Jill A. Fattor United States 19 506 0.8× 224 0.4× 583 1.1× 195 0.6× 262 0.8× 32 1.2k
Paul A. Roberson United States 19 490 0.7× 377 0.7× 376 0.7× 202 0.6× 311 0.9× 44 1.0k
Lucas Guimarães‐Ferreira Brazil 18 459 0.7× 291 0.5× 386 0.7× 173 0.5× 183 0.6× 49 1.1k

Countries citing papers authored by William Apró

Since Specialization
Citations

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

Fields of papers citing papers by William Apró

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Apró

This figure shows the co-authorship network connecting the top 25 collaborators of William Apró. A scholar is included among the top collaborators of William Apró 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 William Apró. William Apró 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.
Wyckelsma, Victoria L., Marta Murgia, Sigitas Kamandulis, et al.. (2025). Antioxidant supplementation blunts the proteome response to 3 weeks of sprint interval training preferentially in human type 2 muscle fibres. The Journal of Physiology.
2.
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.
3.
Grip, Jonathan, et al.. (2025). Lactate infusion increases circulating pro-brain-derived neurotrophic factor levels in humans. Frontiers in Cellular Neuroscience. 19. 1644843–1644843. 1 indexed citations
4.
5.
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
6.
Horwath, Oscar, et al.. (2024). Ageing leads to selective type II myofibre deterioration and denervation independent of reinnervative capacity in human skeletal muscle. Experimental Physiology. 110(2). 277–292. 6 indexed citations
7.
Horwath, Oscar, Marcus Moberg, Nathan Hodson, et al.. (2024). Anabolic Sensitivity in Healthy, Lean, Older Men Is Associated With Higher Expression of Amino Acid Sensors and mTORC1 Activators Compared to Young. Journal of Cachexia Sarcopenia and Muscle. 16(1). e13613–e13613. 2 indexed citations
8.
Flockhart, Mikael, Lina C. Nilsson, Björn Ekblom, et al.. (2023). Reduced glucose tolerance and insulin sensitivity after prolonged exercise in endurance athletes. Acta Physiologica. 238(4). e13972–e13972. 11 indexed citations
9.
Flockhart, Mikael, et al.. (2023). Need for speed: Human fast-twitch mitochondria favor power over efficiency. Molecular Metabolism. 79. 101854–101854. 12 indexed citations
10.
Flockhart, Mikael, et al.. (2023). Glucosinolate-rich broccoli sprouts protect against oxidative stress and improve adaptations to intense exercise training. Redox Biology. 67. 102873–102873. 10 indexed citations
11.
12.
Horwath, Oscar, et al.. (2023). THRIFTY—A High-throughput Single Muscle Fiber Typing Method Based on Immunofluorescence Detection. BIO-PROTOCOL. 13(10). e4678–e4678. 1 indexed citations
13.
Horwath, Oscar, Marcus Moberg, Angelica Lindén Hirschberg, Björn Ekblom, & William Apró. (2022). Molecular Regulators of Muscle Mass and Mitochondrial Remodeling Are Not Influenced by Testosterone Administration in Young Women. Frontiers in Endocrinology. 13. 874748–874748. 6 indexed citations
14.
Moberg, Marcus, William Apró, Igor Červenka, et al.. (2021). High-intensity leg cycling alters the molecular response to resistance exercise in the arm muscles. Scientific Reports. 11(1). 6453–6453. 10 indexed citations
15.
Flockhart, Mikael, et al.. (2021). Excessive exercise training causes mitochondrial functional impairment and decreases glucose tolerance in healthy volunteers. Cell Metabolism. 33(5). 957–970.e6. 164 indexed citations
16.
Hammarström, Daniel, Ivana Hollan, William Apró, et al.. (2019). Benefits of higher resistance‐training volume are related to ribosome biogenesis. The Journal of Physiology. 598(3). 543–565. 66 indexed citations
17.
Söderlund, Karin, et al.. (2019). mTORC1 Signaling in Individual Human Muscle Fibers Following Resistance Exercise in Combination With Intake of Essential Amino Acids. Frontiers in Nutrition. 6. 96–96. 29 indexed citations
18.
Willis, Sarah J., Marcus Moberg, William Apró, et al.. (2016). Endurance Exercise Enhances the Effect of Strength Training on Muscle Fiber Size and Protein Expression of Akt and mTOR. PLoS ONE. 11(2). e0149082–e0149082. 56 indexed citations
19.
Moberg, Marcus, William Apró, & Eva Blomstrand. (2013). Aminosyror ökar träningseffekten. KTH Publication Database DiVA (KTH Royal Institute of Technology). 22(1). 45–49.
20.

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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