J. Wang

1.1k citations
26 papers · 852 · h-index 13

Impact in

  • Physiology top 5%
    • Body Composition Measurement Techniques
    • Nutrition and Health in Aging
    • Thermoregulation and physiological responses
    • Bone health and osteoporosis research

Papers in

    • Body Composition Measurement Techniques 11
    • Nutrition and Health in Aging 8
    • Thermoregulation and physiological responses 3
    • Diet and metabolism studies 2
    • Bone health and osteoporosis research 2

J. Wang

25 papers receiving 823 citations

Peers

J. Wang
Comparison fields: 5 of 84
  • Physiology 417
  • Orthopedics and Sports Medicine 93
  • Nephrology 73
  • Geriatrics and Gerontology 16
  • Pathology and Forensic Medicine 79
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Wynn Wacker United States
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Citations per field
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Citations per year

Countries citing papers authored by J. Wang

Since Specialization
Citations

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

Fields of papers citing papers by J. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. Wang Line = papers co-authored together J. Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991162
2 1999123
3 198283
4 200669
5 201063
6 199459
7 200758
8 199157
9 200939
10 201431
11 201622
12 197621
13
Correlations between skeletal muscle mass and bone mass in children 6-18 years: influences of sex, ethnicity, and pubertal status.
199914
14 201810
15 20008
16 20036
17 20036
18 19995
19 20094
20 20163

About J. Wang

J. Wang is a scholar working on Physiology, Orthopedics and Sports Medicine, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 26 papers that have together received 852 indexed citations. Recurring topics across this work include Body Composition Measurement Techniques (11 papers), Nutrition and Health in Aging (8 papers), Thermoregulation and physiological responses (3 papers), Bone health and osteoporosis research (2 papers), Diet and metabolism studies (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), Radiation Shielding Materials Analysis (1 paper) and Aortic Disease and Treatment Approaches (1 paper). The work is most often cited by research in Physiology (417 citations), Orthopedics and Sports Medicine (93 citations), Nephrology (73 citations), Geriatrics and Gerontology (16 citations) and Pathology and Forensic Medicine (79 citations). J. Wang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Richard N. Pierson, Steven B. Heymsfield, Manolo Mazariegos, John G. Kral, William A. Bauman, Masako Waki, Dympna Gallagher, Elissa J. Schwartz, Ann M. Spungen and E Colţ. Their work appears in journals such as Osteoporosis International, Neurourology and Urodynamics, The journal of nutrition health & aging, International Journal of Obesity and American Journal of Physiology-Endocrinology and Metabolism.

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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