Michael Tse

1.1k total citations · 1 hit paper
24 papers, 780 citations indexed

About

Michael Tse is a scholar working on Physiology, Molecular Biology and Orthopedics and Sports Medicine. According to data from OpenAlex, Michael Tse has authored 24 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 4 papers in Molecular Biology and 4 papers in Orthopedics and Sports Medicine. Recurrent topics in Michael Tse's work include Sports Performance and Training (4 papers), Adipose Tissue and Metabolism (4 papers) and Sports injuries and prevention (4 papers). Michael Tse is often cited by papers focused on Sports Performance and Training (4 papers), Adipose Tissue and Metabolism (4 papers) and Sports injuries and prevention (4 papers). Michael Tse collaborates with scholars based in Hong Kong, China and Czechia. Michael Tse's co-authors include Alison M. McManus, Richard Masters, Aimin Xu, Karen S.L. Lam, Gianni Panagiotou, Yao Wang, Yueqiong Ni, Cynthia Cheung, Yan Liu and Yu Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cell Metabolism and International Journal of Environmental Research and Public Health.

In The Last Decade

Michael Tse

20 papers receiving 753 citations

Hit Papers

Gut Microbiome Fermentation Determines the Efficacy of Ex... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Tse Hong Kong 13 258 250 155 107 81 24 780
Kristina Tiainen Finland 16 406 1.6× 104 0.4× 138 0.9× 111 1.0× 124 1.5× 34 913
Lee Hill Canada 19 288 1.1× 94 0.4× 296 1.9× 32 0.3× 109 1.3× 71 1.2k
Corinne Caillaud Australia 21 678 2.6× 100 0.4× 232 1.5× 104 1.0× 161 2.0× 58 1.3k
Julia O. Totosy de Zepetnek Canada 19 278 1.1× 79 0.3× 153 1.0× 148 1.4× 300 3.7× 49 1.1k
Jens Faber Denmark 18 441 1.7× 159 0.6× 337 2.2× 79 0.7× 273 3.4× 37 1.5k
Wim Huygens Belgium 11 411 1.6× 167 0.7× 157 1.0× 68 0.6× 191 2.4× 18 913
Janne Sallinen Finland 13 460 1.8× 54 0.2× 200 1.3× 122 1.1× 96 1.2× 22 877
Laura Karavirta Finland 21 620 2.4× 91 0.4× 534 3.4× 78 0.7× 139 1.7× 57 1.7k
Carmen Sílvia Grubert Campbell Brazil 23 313 1.2× 83 0.3× 463 3.0× 26 0.2× 95 1.2× 117 1.5k
Sarah Warner United States 12 304 1.2× 44 0.2× 242 1.6× 55 0.5× 74 0.9× 18 763

Countries citing papers authored by Michael Tse

Since Specialization
Citations

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

Fields of papers citing papers by Michael Tse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Tse

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Tse. A scholar is included among the top collaborators of Michael Tse 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 Michael Tse. Michael Tse 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.
3.
Jin, Leigang, Candela Díaz-Cañestro, Yu Wang, Michael Tse, & Aimin Xu. (2024). Exerkines and cardiometabolic benefits of exercise: from bench to clinic. EMBO Molecular Medicine. 16(3). 432–444. 28 indexed citations
4.
Wang, Yao, Jiarui Chen, Yueqiong Ni, et al.. (2024). Exercise-changed gut mycobiome as a potential contributor to metabolic benefits in diabetes prevention: an integrative multi-omics study. Gut Microbes. 16(1). 2416928–2416928. 12 indexed citations
5.
Cheung, Denise Shuk Ting, Ryan E. Rhodes, Pui Hing Chau, et al.. (2024). Formative evaluation of a mobile chat-based intervention (ChatEx) for promoting exercise behaviour in older cancer survivors. European Journal of Oncology Nursing. 74. 102774–102774.
6.
Díaz-Cañestro, Candela, Jiarui Chen, Yan Liu, et al.. (2023). A machine-learning algorithm integrating baseline serum proteomic signatures predicts exercise responsiveness in overweight males with prediabetes. Cell Reports Medicine. 4(2). 100944–100944. 9 indexed citations
7.
Tang, Jennifer, Hao Luo, Michael Tse, et al.. (2021). The relationship between insomnia symptoms and frailty in community-dwelling older persons: a path analysis. Sleep Medicine. 84. 237–243. 26 indexed citations
8.
Liu, Yan, Yao Wang, Yueqiong Ni, et al.. (2019). Gut Microbiome Fermentation Determines the Efficacy of Exercise for Diabetes Prevention. Cell Metabolism. 31(1). 77–91.e5. 285 indexed citations breakdown →
10.
Capio, Catherine M., et al.. (2017). Fundamental movement skills and balance of children with Down syndrome. Journal of Intellectual Disability Research. 62(3). 225–236. 44 indexed citations
11.
Sobko, Tanja, Michael Tse, & Matthew Kaplan. (2016). A randomized controlled trial for families with preschool children - promoting healthy eating and active playtime by connecting to nature. BMC Public Health. 16(1). 505–505. 22 indexed citations
12.
Macfarlane, Duncan J., et al.. (2015). Agreement between bioelectrical impedance and dual energy X-ray absorptiometry in assessing fat, lean and bone mass changes in adults after a lifestyle intervention. Journal of Sports Sciences. 34(12). 1176–1181. 13 indexed citations
13.
Lin, Jingxia, Sherry Kit Wa Chan, Edwin Lee, et al.. (2015). Aerobic exercise and yoga improve neurocognitive function in women with early psychosis. Schizophrenia. 1(1). 15047–15047. 85 indexed citations
14.
Wong, Del P., et al.. (2013). USING BENCH PRESS LOAD TO PREDICT UPPER BODY EXERCISE LOADS IN PHYSICALLY ACTIVE INDIVIDUALS. SHILAP Revista de lepidopterología. 8 indexed citations
15.
Wong, Del P., et al.. (2013). Using bench press load to predict upper body exercise loads in physically active individuals.. PubMed. 12(1). 38–43. 9 indexed citations
16.
Lin, Shi Lin, So Lun Lee, Lai Ling Hui, et al.. (2012). Pubertal muscle mass and diabetes markers in chinese adolescents. American Journal of Human Biology. 24(2). 183–185. 9 indexed citations
17.
So, Raymond, et al.. (2007). Application of Surface Electromyography in Assessing Muscle Recruitment Patterns in a Six-Minute Continuous Rowing Effort. The Journal of Strength and Conditioning Research. 21(3). 724–724. 20 indexed citations
18.
Tse, Michael, et al.. (2007). Trunk Muscle Training, Posture Fatigue, and Performance in Laparoscopic Surgery. Journal of Endourology. 22(5). 1053–1058. 7 indexed citations
19.
Tse, Michael, Alison M. McManus, & Richard Masters. (2005). Development and Validation of a Core Endurance Intervention Program: Implications for Performance in College-Age Rowers. The Journal of Strength and Conditioning Research. 19(3). 547–547. 140 indexed citations
20.
Tse, Michael, et al.. (1998). Wing Chun Kung Fu: Traditional Chinese King Fu for Self-Defense and Health.

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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