H. C. Lukaski
- Physiology top 0.5%
- Body Composition Measurement Techniques 12
- Nutrition and Health in Aging 4
- Thermoregulation and physiological responses 3
- Nephrology top 5%
- Geriatrics and Gerontology top 5%
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- Electrical and Bioimpedance Tomography 3
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- Statistical Methods and Bayesian Inference 1
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- Magnesium in Health and Disease 1
- Trace Elements in Health 1
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- Radioactivity and Radon Measurements 1
- Co-authors
- K.R. FosterS. B. HeymsfieldKatherine M. FlegalKarl E. FriedlJohnson ClW. W. BolonchukM. J. MarchelloJ. D. Crenshaw
- Partner nations
- United StatesAustraliaRussia
In The Last Decade
H. C. Lukaski
14 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Physiology 2.8k
- Orthopedics and Sports Medicine 319
- Nephrology 158
- Endocrine and Autonomic Systems 132
- Geriatrics and Gerontology 66
Countries citing papers authored by H. C. Lukaski
This map shows the geographic impact of H. C. Lukaski'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 H. C. Lukaski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. C. Lukaski more than expected).
Fields of papers citing papers by H. C. Lukaski
This network shows the impact of papers produced by H. C. Lukaski. 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 H. C. Lukaski. The network helps show where H. C. Lukaski may publish in the future.
Co-authorship network
The 24 scholars most cited alongside H. C. Lukaski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Changes in hydration, body-cell mass and endurance performance of professional soccer players through a competitive season. | 2016 | 50 |
| 2 | 2009 | 7 | |
| 3 | 2002 | 387 | |
| 4 | 2000 | 3 | |
| 5 | 1996 | 318 | |
| 6 | 1995 | 47 | |
| 7 | The use of bioelectrical impedance analysis (BIA) to estimate body composition in the Diabetes Control and Complications Trial (DCCT). | 1994 | 8 |
| 8 | 1992 | 63 | |
| 9 | Methods for the assessment of human body composition: traditional and newbreakdown → | 1987 | 871 |
| 10 | Theory and validation of the tetrapolar bioelectrical impedance method to assess human body composition | 1987 | 43 |
| 11 | 1986 | 7 | |
| 12 | 1985 | 211 | |
| 13 | Assessment of fat-free mass using bioelectrical impedance measurements of the human bodybreakdown → | 1985 | 1547 |
| 14 | Potential errors in body composition as estimated by whole body scintillation counting. | 1983 | 15 |
About H. C. Lukaski
H. C. Lukaski is a scholar working on Physiology, Radiological and Ultrasound Technology and Small Animals, having authored 14 papers that have together received 3.6k indexed citations. Recurring topics across this work include Body Composition Measurement Techniques (12 papers), Nutrition and Health in Aging (4 papers), Electrical and Bioimpedance Tomography (3 papers), Thermoregulation and physiological responses (3 papers), Statistical Methods and Bayesian Inference (1 paper), Magnesium in Health and Disease (1 paper), Trace Elements in Health (1 paper) and Radioactivity and Radon Measurements (1 paper). The work is most often cited by research in Physiology (2.8k citations), Orthopedics and Sports Medicine (319 citations) and Nephrology (158 citations). H. C. Lukaski has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include K.R. Foster, S. B. Heymsfield, Katherine M. Flegal, Karl E. Friedl, Johnson Cl, W. W. Bolonchuk, M. J. Marchello, J. D. Crenshaw, Martin Burtscher and Giorgio Galanti.
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.