Z
ZiMian Wang
Researcher at Columbia University
Publications - 86
Citations - 11608
ZiMian Wang is an academic researcher from Columbia University. The author has contributed to research in topics: Resting energy expenditure & Body water. The author has an hindex of 44, co-authored 85 publications receiving 10264 citations. Previous affiliations of ZiMian Wang include National Institutes of Health & Mount Sinai St. Luke's and Mount Sinai Roosevelt.
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Skeletal muscle mass and distribution in 468 men and women aged 18–88 yr
TL;DR: It is indicated that men have more SM than women and that these gender differences are greater in the upper body.
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Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image
Wei Shen,Mark Punyanitya,ZiMian Wang,Dympna Gallagher,Marie-Pierre St.-Onge,Jeanine Albu,Steven B. Heymsfield,Stanley Heshka +7 more
TL;DR: Investigation of the relationships between abdominal SM and AT areas from single images and total body component volumes in a large and diverse sample of healthy adult subjects found that measurement of a single abdominal image can provide estimates of total bodySM and AT for group studies of healthy adults.
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Total-body skeletal muscle mass: development and cross-validation of anthropometric prediction models
TL;DR: 2 anthropometric SM mass prediction models, the first developed in vivo by using state-of-the-art body-composition methods, are likely to prove useful in clinical evaluations and field studies of SM mass in nonobese adults.
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Total-body skeletal muscle mass: estimation by a new dual-energy X-ray absorptiometry method.
TL;DR: In this paper, the authors developed prediction models linking appendicular lean soft tissue (ALST) mass and total-body skeletal muscle (SM) quantified by multislice magnetic resonance imaging in healthy adults.
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Adipose Tissue Quantification by Imaging Methods: A Proposed Classification
Wei Shen,ZiMian Wang,Mark Punyanita,Jianbo Lei,Ahmet Sinav,John G. Kral,Celina Imielinska,Robert Ross,Steven B. Heymsfield +8 more
TL;DR: An updated classification of total body and regional adipose tissue is proposed, providing a well-defined basis for correlating imaging studies of specific adipose tissues depots with molecular processes and revealing inconsistencies in the use of specific definitions.