Mosuk Chow

1.2k total citations
23 papers, 836 citations indexed

About

Mosuk Chow is a scholar working on Statistics and Probability, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mosuk Chow has authored 23 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 5 papers in Physiology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mosuk Chow's work include Statistical Methods and Bayesian Inference (5 papers), Thermoregulation and physiological responses (4 papers) and Statistical Methods and Inference (3 papers). Mosuk Chow is often cited by papers focused on Statistical Methods and Bayesian Inference (5 papers), Thermoregulation and physiological responses (4 papers) and Statistical Methods and Inference (3 papers). Mosuk Chow collaborates with scholars based in United States, India and Singapore. Mosuk Chow's co-authors include W. Larry Kenney, Kelly A. Dougherty, Barbara J. Rolls, Lindsay B. Baker, Victoria H. Castellanos, Elizabeth Bell, Sheila G. West, Cindy E McCrea, Ann C. Skulas‐Ray and Christine Pelkman and has published in prestigious journals such as American Journal of Clinical Nutrition, Medicine & Science in Sports & Exercise and Biometrika.

In The Last Decade

Mosuk Chow

22 papers receiving 768 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mosuk Chow United States 12 360 261 135 128 118 23 836
Kumpei Tanisawa Japan 21 620 1.7× 188 0.7× 97 0.7× 94 0.7× 84 0.7× 75 1.2k
Jamie Matu United Kingdom 18 560 1.6× 315 1.2× 89 0.7× 182 1.4× 75 0.6× 53 1.1k
Bakhtyar Tartibian Iran 16 160 0.4× 170 0.7× 98 0.7× 94 0.7× 193 1.6× 68 886
Steven Mann United Kingdom 11 408 1.1× 148 0.6× 86 0.6× 61 0.5× 62 0.5× 25 921
Amy L. McKenzie United States 20 1.1k 3.1× 242 0.9× 67 0.5× 134 1.0× 78 0.7× 67 1.8k
J. J. Cunningham United States 8 719 2.0× 207 0.8× 153 1.1× 408 3.2× 76 0.6× 9 1.1k
G. H. Hartung United States 19 335 0.9× 131 0.5× 126 0.9× 166 1.3× 77 0.7× 43 1.0k
Makoto Ayabe Japan 20 860 2.4× 420 1.6× 114 0.8× 68 0.5× 51 0.4× 67 1.4k
Johanna L. Johnson United States 15 1.1k 3.0× 459 1.8× 101 0.7× 185 1.4× 100 0.8× 34 1.9k
Suey S.Y. Yeung Hong Kong 14 924 2.6× 202 0.8× 100 0.7× 54 0.4× 36 0.3× 44 1.4k

Countries citing papers authored by Mosuk Chow

Since Specialization
Citations

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

Fields of papers citing papers by Mosuk Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mosuk Chow

This figure shows the co-authorship network connecting the top 25 collaborators of Mosuk Chow. A scholar is included among the top collaborators of Mosuk 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 Mosuk Chow. Mosuk 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
1.
Sauder, Katherine A., David N. Proctor, Mosuk Chow, et al.. (2015). Endothelial function, arterial stiffness and adherence to the 2010 Dietary Guidelines for Americans: a cross-sectional analysis. British Journal Of Nutrition. 113(11). 1773–1781. 26 indexed citations
2.
Rosenberger, James L., et al.. (2014). The Importance of Setting the Stage. eLearn. 2014(10). 1 indexed citations
3.
McCrea, Cindy E, Ann C. Skulas‐Ray, Mosuk Chow, & Sheila G. West. (2012). Test–retest reliability of pulse amplitude tonometry measures of vascular endothelial function: Implications for clinical trial design. Vascular Medicine. 17(1). 29–36. 97 indexed citations
4.
Dougherty, Kelly A., Mosuk Chow, & W. Larry Kenney. (2009). Critical environmental limits for exercising heat-acclimated lean and obese boys. European Journal of Applied Physiology. 108(4). 779–789. 35 indexed citations
5.
Dougherty, Kelly A., Mosuk Chow, & W. Larry Kenney. (2009). Responses of Lean and Obese Boys to Repeated Summer Exercise in the Heat Bouts. Medicine & Science in Sports & Exercise. 41(2). 279–289. 32 indexed citations
6.
Hilpert, Kirsten F., Sheila G. West, Deborah M Bagshaw, et al.. (2009). Effects of Dairy Products on Intracellular Calcium and Blood Pressure in Adults with Essential Hypertension. Journal of the American College of Nutrition. 28(2). 142–149. 33 indexed citations
7.
Baker, Lindsay B., Kelly A. Dougherty, Mosuk Chow, & W. Larry Kenney. (2007). Progressive Dehydration Causes a Progressive Decline in Basketball Skill Performance. Medicine & Science in Sports & Exercise. 39(7). 1114–1123. 105 indexed citations
8.
Dougherty, Kelly A., Lindsay B. Baker, Mosuk Chow, & W. Larry Kenney. (2006). Two Percent Dehydration Impairs and Six Percent Carbohydrate Drink Improves Boys Basketball Skills. Medicine & Science in Sports & Exercise. 38(9). 1650–1658. 108 indexed citations
9.
Chow, Mosuk & Steven K. Thompson. (2004). Estimation with link-tracing sampling designs -- A Bayesian approach. Quality Engineering. 49(6). 613–616. 5 indexed citations
10.
Li, Runze & Mosuk Chow. (2004). Evaluation of reproducibility for paired functional data. Journal of Multivariate Analysis. 93(1). 81–101. 24 indexed citations
11.
Bai, Zhidong, C. R. Rao, & Mosuk Chow. (2003). An algorithm for efficient estimation of superimposed exponential signals. 342–345.
12.
Bai, Zhidong, C. Mallikarjuna Rao, Mosuk Chow, & Debasis Kundu. (2002). An efficient algorithm for estimating the parameters of superimposed exponential signals. Journal of Statistical Planning and Inference. 110(1-2). 23–34. 17 indexed citations
13.
Pelkman, Christine, et al.. (2001). Short-term effects of a progestational contraceptive drug on food intake, resting energy expenditure, and body weight in young women. American Journal of Clinical Nutrition. 73(1). 19–26. 65 indexed citations
14.
Bai, Zhidong & Mosuk Chow. (2000). A note on sequential estimation of the size of a population under a general loss function. Statistics & Probability Letters. 47(2). 159–164. 3 indexed citations
15.
Rolls, Barbara J., et al.. (1999). Energy density but not fat content of foods affected energy intake in lean and obese women. American Journal of Clinical Nutrition. 69(5). 863–871. 233 indexed citations
16.
Fong, Duncan Κ. H., Mosuk Chow, & James H. Albert. (1994). Selecting the normal population with the best regression value — a Bayesian approach. Journal of Statistical Planning and Inference. 40(1). 97–111. 4 indexed citations
17.
Chow, Mosuk & Duncan Κ. H. Fong. (1992). Simultaneous estimation of the hardy‐weinberg proportions. Canadian Journal of Statistics. 20(3). 291–296. 7 indexed citations
18.
Bai, Zhidong & Mosuk Chow. (1991). Inadmissibility of the maximum likelihood estimator in the sequential estimation of the size of a population. Biometrika. 78(4). 817–823. 1 indexed citations
19.
Chow, Mosuk. (1990). Admissibility of MLE for simultaneous estimation in negative binomial problems. Journal of Multivariate Analysis. 33(2). 212–219. 1 indexed citations
20.
Krejcie, T C, et al.. (1985). Reduction in slow intercompartmental clearance of urea during dialysis.. PubMed. 105(4). 489–97. 23 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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