Mark Punyanitya

5.4k citations
36 papers · 4.0k · 1 hit paper · h-index 24

Impact in

Papers in

Mark Punyanitya

35 papers receiving 3.9k citations

Mark Punyanitya's Hit Papers

Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image 2004 · 1.4k citations
1.4k0+7+14Years since publication4008001.2k

Peers

Mark Punyanitya
Comparison fields: 5 of 109
  • Physiology 1.7k
  • Geriatrics and Gerontology 172
  • Orthopedics and Sports Medicine 307
  • Endocrinology, Diabetes and Metabolism 372
  • Genetics 207
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Citations per year

Countries citing papers authored by Mark Punyanitya

Since Specialization
Citations

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

Fields of papers citing papers by Mark Punyanitya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Punyanitya, 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 Mark Punyanitya Line = papers co-authored together Mark Punyanitya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image
Hit paper breakdown →
20041350
2 2012297
3 2004280
4 2015221
5 2006215
6 2006202
7 2007151
8
Pediatric obesity phenotyping by magnetic resonance methods.
2005137
9 2012118
10 2009111
11 2011107
12 201297
13 200681
14 201179
15 200973
16 201270
17 200360
18 201058
19 201355
20 201040

About Mark Punyanitya

Mark Punyanitya is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Surgery, Genetics and Emergency Medicine, having authored 36 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (5 papers), Nutrition and Health in Aging (5 papers), Body Composition Measurement Techniques (3 papers), Bone and Joint Diseases (3 papers), Adipose Tissue and Metabolism (3 papers), HIV-related health complications and treatments (3 papers), Congenital Anomalies and Fetal Surgery (3 papers) and Cardiovascular Disease and Adiposity (3 papers). The work is most often cited by research in Physiology (1.7k citations), Geriatrics and Gerontology (172 citations), Orthopedics and Sports Medicine (307 citations), Endocrinology, Diabetes and Metabolism (372 citations) and Genetics (207 citations). Mark Punyanitya has collaborated with scholars based in United States, Italy and South Africa. Frequent co-authors include Steven B. Heymsfield, Wei Shen, Dympna Gallagher, Stanley Heshka, Jeanine Albu, ZiMian Wang, Kevin E. Wilson, Thomas L. Kelly, Julia H. Goedecke and Lisa K. Micklesfield. Their work appears in journals such as Obesity, Journal of Child Neurology, The FASEB Journal, Neuromuscular Disorders and The Journal of Clinical Endocrinology & 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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