Chin Moi Chow

3.4k total citations
101 papers, 2.4k citations indexed

About

Chin Moi Chow is a scholar working on Physiology, Endocrine and Autonomic Systems and Experimental and Cognitive Psychology. According to data from OpenAlex, Chin Moi Chow has authored 101 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Physiology, 24 papers in Endocrine and Autonomic Systems and 24 papers in Experimental and Cognitive Psychology. Recurrent topics in Chin Moi Chow's work include Sleep and related disorders (22 papers), Obstructive Sleep Apnea Research (20 papers) and Neuroscience of respiration and sleep (20 papers). Chin Moi Chow is often cited by papers focused on Sleep and related disorders (22 papers), Obstructive Sleep Apnea Research (20 papers) and Neuroscience of respiration and sleep (20 papers). Chin Moi Chow collaborates with scholars based in Australia, Japan and United States. Chin Moi Chow's co-authors include Daniel Hackett, Helen O’Connor, Ahmad Afaghi, Mark Halaki, Ian Cathers, Nathan A. Johnson, Maria Fiatarone Singh, Adrienne Kirby, Evan Atlantis and Ayman M. Hamdan‐Mansour and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Clinical Nutrition and Brain Research.

In The Last Decade

Chin Moi Chow

96 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chin Moi Chow Australia 29 666 615 447 378 371 101 2.4k
Hanna Karen Moreira Antunes Brazil 26 686 1.0× 384 0.6× 258 0.6× 257 0.7× 271 0.7× 91 2.2k
Laurie Wideman United States 31 1.0k 1.5× 240 0.4× 291 0.7× 141 0.4× 446 1.2× 145 3.1k
Jacopo Antonino Vitale Italy 27 816 1.2× 769 1.3× 414 0.9× 335 0.9× 166 0.4× 93 2.3k
Fabien Sauvet France 25 598 0.9× 1.4k 2.4× 474 1.1× 912 2.4× 277 0.7× 89 2.5k
Jane L. Mathias Australia 42 393 0.6× 586 1.0× 177 0.4× 827 2.2× 278 0.7× 106 5.0k
Antonio La Torre Italy 36 593 0.9× 330 0.5× 156 0.3× 210 0.6× 168 0.5× 190 3.9k
Helen S. Driver Canada 29 1.1k 1.7× 1.6k 2.5× 991 2.2× 1.1k 3.0× 577 1.6× 58 3.3k
Charli Sargent Australia 41 989 1.5× 2.9k 4.7× 523 1.2× 1.6k 4.2× 343 0.9× 139 4.9k
German Nino‐Murcia United States 17 1.2k 1.9× 1.1k 1.7× 1.0k 2.3× 970 2.6× 126 0.3× 23 3.0k
Ben Edwards United Kingdom 36 1.5k 2.2× 1.4k 2.3× 1.2k 2.6× 862 2.3× 299 0.8× 100 4.6k

Countries citing papers authored by Chin Moi Chow

Since Specialization
Citations

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

Fields of papers citing papers by Chin Moi Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin Moi Chow. 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 Chin Moi Chow. The network helps show where Chin Moi Chow may publish in the future.

Co-authorship network of co-authors of Chin Moi Chow

This figure shows the co-authorship network connecting the top 25 collaborators of Chin Moi Chow. A scholar is included among the top collaborators of Chin Moi Chow 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 Chin Moi Chow. Chin Moi Chow 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
3.
Chow, Chin Moi, et al.. (2024). Improvement in physical function and lipid profile following low-intensity resistance training and a lower limb conditioning program in people with diabetic neuropathy. Journal of Bodywork and Movement Therapies. 40. 1123–1131. 1 indexed citations
4.
Gupta, Aashray, Brandon Stretton, Gopal Sivagangabalan, et al.. (2024). Comparison of machine learning and traditional methods for prediction of adverse clinical events after percutaneous coronary intervention. European Heart Journal. 45(Supplement_1). 1 indexed citations
5.
Halaki, Mark, et al.. (2023). A qualitative exploration of experiences and perceptions in recent parents screening positive for perinatal depression in Karachi, Pakistan. SHILAP Revista de lepidopterología. 73(9). 1874–1877. 1 indexed citations
6.
Halaki, Mark, et al.. (2022). Risk factors of paternal postnatal depression in Pakistan: Findings from an urban sample. Nursing and Health Sciences. 24(3). 618–624. 11 indexed citations
7.
Halaki, Mark, et al.. (2021). Perinatal depression in Pakistan: A systematic review and meta‐analysis. Birth. 48(2). 149–163. 42 indexed citations
8.
Chow, Chin Moi, et al.. (2019). <p>The impact of sleepwear fiber type on sleep quality under warm ambient conditions</p>. Nature and Science of Sleep. Volume 11. 167–178. 9 indexed citations
9.
Mahar, T.J., et al.. (2017). Calibration and validation processes for relative humidity measurement by a Hygrochron iButton. Physiology & Behavior. 179. 208–212. 9 indexed citations
10.
Chow, Chin Moi, et al.. (2015). The validity of Actiwatch2 and SenseWear armband compared against polysomnography at different ambient temperature conditions. SHILAP Revista de lepidopterología. 8(1). 9–15. 72 indexed citations
11.
Halaki, Mark, et al.. (2015). A systematic review of light therapy on mood scores in major depressive disorder: light specification, dose, timing and delivery. International Journal of Basic and Applied Sciences. 5(1). 30–30. 8 indexed citations
12.
O’Connor, Helen, et al.. (2014). Combined caffeine and carbohydrate ingestion: effects on nocturnal sleep and exercise performance in athletes. European Journal of Applied Physiology. 114(12). 2529–2537. 32 indexed citations
13.
Sakamoto, Akihiro, Hisashi Naıto, & Chin Moi Chow. (2013). Hyperventilation as a strategy for improved repeated sprint performance. Journal of science and medicine in sport. 16. e44–e44. 2 indexed citations
14.
Heard, Rob, et al.. (2012). Positive Emotions Associated with “Counter-Strike” Game Playing. Games for Health Journal. 1(5). 342–347. 9 indexed citations
15.
Hackett, Daniel, Nathan A. Johnson, Mark Halaki, & Chin Moi Chow. (2012). A novel scale to assess resistance-exercise effort. Journal of Sports Sciences. 30(13). 1405–1413. 66 indexed citations
16.
Herrera, Christopher P., Fiona Atkinson, Patricia A. Ruell, et al.. (2011). High-glycaemic index and -glycaemic load meals increase the availability of tryptophan in healthy volunteers. British Journal Of Nutrition. 105(11). 1601–1606. 19 indexed citations
17.
Cathers, Ian, et al.. (2011). The association between work stress and inflammatory biomarkers in Jordanian male workers. Psychophysiology. 49(2). 172–177. 12 indexed citations
18.
Tsang, Tracey W., Michael Kohn, Chin Moi Chow, & Maria A. Fiatarone Singh. (2010). Kung Fu Training Improves Physical Fitness Measures in Overweight/Obese Adolescents: The “Martial Fitness” Study. Journal of Obesity. 2010. 1–10. 19 indexed citations
19.
Huang, Qi, et al.. (2008). Clinical patterns of obstructive sleep apnea and its comorbid conditions: a data mining approach.. PubMed. 4(6). 543–50. 56 indexed citations
20.
Naylor, Justine, Chin Moi Chow, Anthony S. McLean, Robert Heard, & Alberto Avolio. (2005). Cardiovascular responses to short‐term head‐down positioning in healthy young and older adults. Physiotherapy Research International. 10(1). 32–47. 21 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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