Macsue Jacques

945 total citations
27 papers, 388 citations indexed

About

Macsue Jacques is a scholar working on Physiology, Cell Biology and Genetics. According to data from OpenAlex, Macsue Jacques has authored 27 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 9 papers in Cell Biology and 9 papers in Genetics. Recurrent topics in Macsue Jacques's work include Muscle metabolism and nutrition (9 papers), Genetics and Physical Performance (9 papers) and Adipose Tissue and Metabolism (8 papers). Macsue Jacques is often cited by papers focused on Muscle metabolism and nutrition (9 papers), Genetics and Physical Performance (9 papers) and Adipose Tissue and Metabolism (8 papers). Macsue Jacques collaborates with scholars based in Australia, Denmark and United States. Macsue Jacques's co-authors include Nir Eynon, Sarah Voisin, Danielle Hiam, Shanie Landen, Romain Barrès, David J. Bishop, Jeffrey M. Craig, Xu Yan, Ioannis Papadimitriou and Alejandro Lucía and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and The FASEB Journal.

In The Last Decade

Macsue Jacques

26 papers receiving 384 citations

Peers

Macsue Jacques

PHYSI

GENET

OSM

José A. Arevalo United States

Chihiro Kojima Japan

Mark Matsos Canada

Andrew C. D’Lugos United States

Jari E. Karppinen Finland

Jadwiga Malczewska‐Lenczowska Poland

Philipp Baumert United Kingdom

Martin Mooses Estonia

Brittany C. Collins United States

M MacDermott Ireland

José A. Arevalo United States

Macsue Jacques

170 ×1.1

PHYSI

152 ×1.1

51 ×0.6

GENET

82 ×0.9

OSM

93 ×1.2

Citations per year, relative to Macsue Jacques Macsue Jacques (= 1×) peers José A. Arevalo

Countries citing papers authored by Macsue Jacques

Since Specialization

Citations

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

Fields of papers citing papers by Macsue Jacques

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Macsue Jacques

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jacques, Macsue, et al.. (2024). Cell-type specific epigenetic clocks to quantify biological age at cell-type resolution. Aging. 16(22). 13452–13504. 5 indexed citations

Smith, Cassandra, Sara Vogrin, Mary N. Woessner, et al.. (2024). Circulating lipocalin-2 across the adult lifespan. JBMR Plus. 9(2). ziae162–ziae162.

Jones, Bernadette, et al.. (2024). The benefits of exercise on aging: focus on muscle biomarkers. Aging. 16(15). 11482–11483. 3 indexed citations

Jacques, Macsue, Shanie Landen, Danielle Hiam, et al.. (2023). Methylome and proteome integration in human skeletal muscle uncover group and individual responses to high‐intensity interval training. The FASEB Journal. 37(10). e23184–e23184. 9 indexed citations

Landen, Shanie, Macsue Jacques, Danielle Hiam, et al.. (2023). Sex differences in muscle protein expression and DNA methylation in response to exercise training. Biology of Sex Differences. 14(1). 56–56. 18 indexed citations

Hiam, Danielle, Shanie Landen, Macsue Jacques, et al.. (2023). Muscle miRNAs are influenced by sex at baseline and in response to exercise. BMC Biology. 21(1). 273–273. 6 indexed citations

Jones, Patrice, Sarah Voisin, Brendan J. Nolan, et al.. (2022). Uncovering the effects of gender affirming hormone therapy on skeletal muscle and epigenetics: protocol for a prospective matched cohort study in transgender individuals (the GAME study). BMJ Open. 12(5). e060869–e060869. 7 indexed citations

Seale, Kirsten, Macsue Jacques, Sarah Voisin, et al.. (2021). Genetic variants within the COL5A1 gene are associated with ligament injuries in physically active populations from Australia, South Africa, and Japan. European Journal of Sport Science. 23(2). 284–293. 12 indexed citations

Landen, Shanie, Macsue Jacques, Danielle Hiam, et al.. (2021). Skeletal muscle methylome and transcriptome integration reveals profound sex differences related to muscle function and substrate metabolism. Clinical Epigenetics. 13(1). 202–202. 30 indexed citations

10.

Harvey, Nicholas R., Sarah Voisin, Rod A. Lea, et al.. (2020). Investigating the influence of mtDNA and nuclear encoded mitochondrial variants on high intensity interval training outcomes. Scientific Reports. 10(1). 11089–11089. 7 indexed citations

11.

Harvey, Nicholas R., Sarah Voisin, Heidi G. Sutherland, et al.. (2020). Genetic variants associated with exercise performance in both moderately trained and highly trained individuals. Molecular Genetics and Genomics. 295(2). 515–523. 10 indexed citations

12.

Hiam, Danielle, Shanie Landen, Macsue Jacques, et al.. (2020). Osteocalcin and its forms respond similarly to exercise in males and females. Bone. 144. 115818–115818. 30 indexed citations

13.

Jacques, Macsue, Danielle Hiam, Jeffrey M. Craig, et al.. (2019). Epigenetic changes in healthy human skeletal muscle following exercise– a systematic review. Epigenetics. 14(7). 633–648. 74 indexed citations

14.

Hiam, Danielle, Sarah Voisin, Xu Yan, et al.. (2019). The association between bone mineral density gene variants and osteocalcin at baseline, and in response to exercise: The Gene SMART study. Bone. 123. 23–27. 12 indexed citations

15.

Papadimitriou, Ioannis, Nir Eynon, Xu Yan, et al.. (2019). A “human knockout” model to investigate the influence of the α-actinin-3 protein on exercise-induced mitochondrial adaptations. Scientific Reports. 9(1). 12688–12688. 16 indexed citations

16.

Voisin, Sarah, Macsue Jacques, Alejandro Lucía, David J. Bishop, & Nir Eynon. (2018). Statistical Considerations for Exercise Protocols Aimed at Measuring Trainability. Exercise and Sport Sciences Reviews. 47(1). 37–45. 33 indexed citations

17.

Yan, Xu, Shanie Landen, Macsue Jacques, et al.. (2018). PL - 030 The effects of ACE gene polymorphisms on ACE content before and after High-Intensity Interval Exercise. 1(1). 1 indexed citations

18.

Yan, Xu, Macsue Jacques, Ioannis Papadimitriou, et al.. (2018). ACEI/D gene variant predicts ACE enzyme content in blood but not the ACE, UCP2, and UCP3 protein content in human skeletal muscle in the Gene SMART study. Journal of Applied Physiology. 125(3). 923–930. 13 indexed citations

19.

Jacques, Macsue, et al.. (2015). Fitness for elders: A comparison between practioners and non-practioners of exercise. AGE. 37(3). 9772–9772. 5 indexed citations

20.

Powers, Scott K., Macsue Jacques, Ruddy Richard, & Ron Beadle. (1986). Effects of Breathing a Normoxic He-O₂Gas Mixture on Exercise Tolerance and VO₂max. International Journal of Sports Medicine. 7(4). 217–221. 25 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.

Explore authors with similar magnitude of impact