Steven B. Heymsfield

Also affiliated with Louisiana State University

Medicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

1in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Papers

Driven by 57 papers. Top paper: “Smartphone prediction of skeletal muscle mass: model development and validation in adults”.

Smartphone prediction of skeletal muscle mass: model development and validation in adults

American Journal of Clinical Nutrition(2023)10.1016/j.ajcnut.2023.02.003

N/A

1.2DataRank · unranked

38 citations

Grant M. Tinsley, Shengping Yang, Brian A. Irving, M. C. Wong, Jonathan P. Bennett +3 more

Effects of COVID‐19 Lockdown on Lifestyle Behaviors in Children with Obesity Living in Verona, Italy: A Longitudinal Study

Obesity(2020)10.1002/oby.22861

N/A

1.1DataRank · unranked

1194 citations

Luca Pecoraro, Alessandro Ferruzzi, Moonseong Heo, Myles S. Faith, Thomas Zoller +5 more

Validation of the Activity Preference Assessment: a tool for quantifying children’s implicit preferences for sedentary and physical activities

International Journal of Behavioral Nutrition and Physical Activity(2020)10.1186/s12966-020-01014-6

N/A

0.925DataRank · unranked

18 citations

Corby K. Martin, Steven B. Heymsfield, Amanda E. Staiano, Robert L. Newton, Alex C. Garn +8 more

Monitoring body composition change for intervention studies with advancing 3D optical imaging technology in comparison to dual-energy X-ray absorptiometry

American Journal of Clinical Nutrition(2023)10.1016/j.ajcnut.2023.02.006

N/A

0.806DataRank · unranked

28 citations

Jonathan P. Bennett, Lambert T. Leong, Isaac Y. Tian, Yong E. Liu, Nisa N. Kelly +20 more

The Body Adiposity Index (Hip Circumference ÷ Height1.5) Is Not a More Accurate Measure of Adiposity Than Is BMI, Waist Circumference, or Hip Circumference

Obesity(2012)10.1038/oby.2012.81

N/A

0.757DataRank · unranked

154 citations

John C. Thornton, F. Xavier Pi‐Sunyer, Steven B. Heymsfield, Jack Wang, Richard N. Pierson +3 more

Assessment of clinical measures of total and regional body composition from a commercial 3-dimensional optical body scanner

Clinical Nutrition(2021)10.1016/j.clnu.2021.11.031

N/A

0.619DataRank · unranked

61 citations

Yong En Liu, Brandon K. Quon, Nisa N. Kelly, M. C. Wong, Samantha Kennedy +6 more

Emergence of the obesity epidemic: 6-decade visualization with humanoid avatars

American Journal of Clinical Nutrition(2022)10.1093/ajcn/nqac005

N/A

0.606DataRank · unranked

21 citations

Cassidy McCarthy, Nicole Fearnbach, Shengping Yang, John Shepherd, Steven B. Heymsfield +1 more

Subcutaneous and visceral fat assessment by DXA and MRI in older adults and children

Obesity(2022)10.1002/oby.23381

N/A

0.529DataRank · unranked

33 citations

Yurii B. Shvetsov, M. C. Wong, Andrea K. Garber, Kristine R. Monroe, Thomas Ernst +6 more

Cross-sectional assessment of body composition and detection of malnutrition risk in participants with low body mass index and eating disorders using 3D optical surface scans

American Journal of Clinical Nutrition(2023)10.1016/j.ajcnut.2023.08.004

N/A

0.516DataRank · unranked

11 citations

Jonathan P. Bennett, M. C. Wong, Isaac Y. Tian, Gertraud Maskarinec, Samantha Kennedy +7 more

Accuracy and Precision of 3-dimensional Optical Imaging for Body Composition by Age, BMI, and Ethnicity

American Journal of Clinical Nutrition(2023)10.1016/j.ajcnut.2023.07.010

N/A

0.506DataRank · unranked

15 citations

Jonathan P. Bennett, Brandon K. Quon, Lambert T. Leong, Isaac Y. Tian, Yong E. Liu +9 more

Three‐dimensional optical body shape and features improve prediction of metabolic disease risk in a diverse sample of adults

Obesity(2022)10.1002/oby.23470

N/A

0.500DataRank · unranked

27 citations

Yong En Liu, Brandon K. Quon, Nisa N. Kelly, Lambert T. Leong, M. C. Wong +7 more

A consensus guide to preclinical indirect calorimetry experiments

Nature Metabolism(2025)10.1038/s42255-025-01360-4

N/A

0.489DataRank · unranked

25 citations

David B. Allison, Thierry Alquier, Md Ansarullah, Steven N. Austad, Johan Auwerx +74 more

Distinct phenotypic characteristics of normal-weight adults at risk of developing cardiovascular and metabolic diseases

American Journal of Clinical Nutrition(2020)10.1093/ajcn/nqaa194

N/A

0.373DataRank · unranked

11 citations

John M. Schuna, Shengping Yang, Samantha Kennedy, Moonseong Heo, M. C. Wong +3 more

Total body and regional surface area: Quantification with low‐cost three‐dimensional optical imaging systems

American Journal of Physical Anthropology(2021)10.1002/ajpa.24243

N/A

0.345DataRank · unranked

9 citations

Samantha Kennedy, Sima Sobhiyeh, John Shepherd, Steven B. Heymsfield, Marcelline Dechenaud

Advances in digital anthropometric body composition assessment: neural network algorithm prediction of appendicular lean mass

European Journal of Clinical Nutrition(2023)10.1038/s41430-023-01396-3

N/A

0.343DataRank · unranked

6 citations

Cassidy McCarthy, Ryan H. Field, Han Thi Ngoc Nguyen, Thao Nguyen, John Shepherd +3 more

Long‐term sustained effects of the Look AHEAD lifestyle intervention on body composition among adults with type 2 diabetes

Obesity(2024)10.1002/oby.24025

N/A

0.312DataRank · unranked

7 citations

Stanley Heshka, Andrea Anderson, Henry J. Pownall, Blandine Laferrère, Ashok Balasubramanyam +4 more

Generative deep learning furthers the understanding of local distributions of fat and muscle on body shape and health using 3D surface scans

Communications Medicine(2024)10.1038/s43856-024-00434-w

N/A

0.292DataRank · unranked

6 citations

M. C. Wong, Yong E. Liu, Yannik Glaser, Brandon K. Quon, Nisa N. Kelly +5 more

Automated body composition estimation from device-agnostic 3D optical scans in pediatric populations

Clinical Nutrition(2023)10.1016/j.clnu.2023.07.012

N/A

0.292DataRank · unranked

6 citations

M. C. Wong, William M. Nguyen, Samantha Kennedy, Cassidy McCarthy, Nisa N. Kelly +6 more

Trunk-to-leg volume and appendicular lean mass from a commercial 3-dimensional optical body scanner for disease risk identification

Clinical Nutrition(2024)10.1016/j.clnu.2024.09.028

N/A

0.241DataRank · unranked

4 citations

M. C. Wong, Yong En Liu, Brandon K. Quon, Nisa N. Kelly, Andrea K. Garber +3 more

Visual demonstration of weight loss and health risk improvement with a dual GIP and GLP-1 receptor agonist

International Journal of Obesity(2025)10.1038/s41366-025-01842-1

N/A

0.165DataRank · unranked

2 citations

Ryan Yang, Muhammed Habibovic, Samantha Kennedy, Jonathan P. Bennett, John Shepherd +3 more

Accurate prediction of three-dimensional humanoid avatars for anthropometric modeling

International Journal of Obesity(2024)10.1038/s41366-024-01614-3

N/A

0.165DataRank · unranked

2 citations

M. C. Wong, Jasmine Brown, Sophia Ramirez, Shengping Yang, Jonathan P. Bennett +3 more

The impact of different body surface area prediction equations on ventricular dilatation prevalence in youth soccer players

Frontiers in Cardiovascular Medicine(2025)10.3389/fcvm.2025.1627460

N/A

0.104DataRank · unranked

1 citations

Elisabetta Toso, Federico Della Vecchia, Andrea Ferraris, Massimo Magistrali, Gianluca Alunni +5 more

The making of a classic: the 1974 Durnin–Womersley body composition paper

British Journal Of Nutrition(2022)10.1017/s0007114521003950

N/A

0DataRank · unranked

4 citations

Boyd J. Strauss, Steven B. Heymsfield

Prediction of whole body composition utilizing cross-sectional abdominal imaging in pediatrics

Research Square(2022)10.21203/rs.3.rs-2164415/v1

N/A

0DataRank · unranked

2 citations

Sunil Desai, Andrea Gallivan, Alecia Lim, Michael B. Sawyer, Steven B. Heymsfield +3 more

Accuracy and Precision of 3D Optical Imaging for Body Composition and their Associations to Metabolic Markers by Age, BMI, and Ethnicity

medRxiv(2022)10.1101/2022.11.02.22281819

N/A

0DataRank · unranked

0 citations

Jonathan P. Bennett, Brandon K. Quon, Lambert T. Leong, Isaac Y. Tian, Yong E. Liu +9 more

Total and regional appendicular skeletal muscle mass prediction from dual-energy X-ray absorptiometry body composition models

Scientific Reports(2023)10.1038/s41598-023-29827-y

N/A

0DataRank · unranked

47 citations

Grant M. Tinsley, Anja Bosy‐Westphal, Manfred J. Müller, John Shepherd, Dympna Gallagher +2 more

Proportion of caloric restriction‐induced weight loss as skeletal muscle

Obesity(2023)10.1002/oby.23910

N/A

0DataRank · unranked

47 citations

Shengping Yang, Cassidy McCarthy, Jasmin B. Brown, Corby K. Martin, Leanne M. Redman +5 more

Resting Energy Expenditure Is Elevated in Asthma

Nutrients(2021)10.3390/nu13041065

N/A

0DataRank · unranked

6 citations

Brittany Matuska, Laura E. Peterson, Patrick Wyszynski, Michelle Koo, Jacqueline Sharp +13 more

Digital anthropometric evaluation of young children: comparison to results acquired with conventional anthropometry

European Journal of Clinical Nutrition(2021)10.1038/s41430-021-00938-x

N/A

0DataRank · unranked

15 citations

Brooke Smith, Sima Sobhiyeh, Marcelline Dechenaud, M. C. Wong, Nisa N. Kelly +3 more

Skeletal muscle-focused guideline development: hierarchical model incorporating muscle form, function, and clinical outcomes

Applied Physiology Nutrition and Metabolism(2023)10.1139/apnm-2023-0176

N/A

0DataRank · unranked

26 citations

Carla M. Prado, Marı́a Cristina González, Steven B. Heymsfield

Calf circumference: cutoff values from the NHANES 1999–2006

American Journal of Clinical Nutrition(2021)10.1093/ajcn/nqab029

N/A

0DataRank · unranked

282 citations

Ali Mehrnezhad, Nariman Razaviarab, Thiago Gonzalez Barbosa-Silva, Steven B. Heymsfield, Marı́a Cristina González

Translating digital anthropometry measurements obtained from different 3D body image scanners

European Journal of Clinical Nutrition(2023)10.1038/s41430-023-01289-5

N/A

0DataRank · unranked

12 citations

G. Jake LaPorte, Daniel Richardson, Michael Scioletti, Steven B. Heymsfield, John Shepherd +5 more

The carbohydrate-insulin model: a physiological perspective on the obesity pandemic

American Journal of Clinical Nutrition(2021)10.1093/ajcn/nqab270

N/A

0DataRank · unranked

290 citations

Louis J. Aronne, Arne Astrup, Rafael de Cabo, Lewis C. Cantley, Mark I. Friedman +12 more

Equations for smartphone prediction of adiposity and appendicular lean mass in youth soccer players

Scientific Reports(2023)10.1038/s41598-023-48055-y

N/A

0DataRank · unranked

9 citations

Angelo Pietrobelli, Andrea Ferraris, Chiara Busso, Massimo Magistrali, Chiara Vignati +5 more

Dietary Patterns and All-Cause Mortality: A Systematic Review

(2020)10.52570/nesr.dgac2020.sr0108

N/A

0DataRank · unranked

37 citations

Jamy D. Ard, Lydia Bazzano, Steven B. Heymsfield, Elizabeth J. Mayer‐Davis, Joan Sabaté +11 more

The Associations of Regional Adipose Tissue With Lipid and Lipoprotein Levels in HIV-Infected Men

UNC Libraries(2020)10.17615/pqmk-ke26

N/A

0DataRank · unranked

0 citations

Stephen Sidney, Rebecca Scherzer, Peter Bacchetti, Steven B. Heymsfield, David A. Wohl +2 more

Predictors of visceral and subcutaneous adipose tissue and muscle density: The ShapeUp! Kids study

Nutrition Metabolism and Cardiovascular Diseases(2023)10.1016/j.numecd.2023.12.014

N/A

0DataRank · unranked

2 citations

Yurii B. Shvetsov, M. C. Wong, Devon Cataldi, Jonathan P. Bennett, Andrea K. Garber +4 more

Are Lean Body Mass and Fat-Free Mass the Same or Different Body Components? A Critical Perspective

Advances in Nutrition(2024)10.1016/j.advnut.2024.100335

N/A

0DataRank · unranked

73 citations

Jasmine Brown, Sophia Ramirez, Carla M. Prado, Grant M. Tinsley, Marı́a Cristina González +1 more

History and future of leptin: Discovery, regulation and signaling

Metabolism(2024)10.1016/j.metabol.2024.156026

N/A

0DataRank · unranked

26 citations

Steven B. Heymsfield, Hans-Rudolf Berthoud, Christopher D. Morrison, Heike Münzberg

Advances in body composition: a 100-year journey

International Journal of Obesity(2024)10.1038/s41366-024-01511-9

N/A

0DataRank · unranked

18 citations

Steven B. Heymsfield

Weight/height 2 : Mathematical overview of the world's most widely used adiposity index

Obesity Reviews(2024)10.1111/obr.13842

N/A

0DataRank · unranked

11 citations

John D. Sorkin, Diana M. Thomas, Shengping Yang, Moonseong Heo, Cassidy McCarthy +3 more

Predictors of liver fat among children and adolescents from five different ethnic groups

Obesity Science & Practice(2020)10.1002/osp4.459

N/A

0DataRank · unranked

5 citations

Andrea K. Garber, M. C. Wong, Nisa N. Kelly, Leila Kazemi, Steven D. Buchthal +4 more

Digital anthropometry for body circumference measurements: Toward the development of universal three‐dimensional optical system analysis software

Obesity Science & Practice(2020)10.1002/osp4.467

N/A

0DataRank · unranked

24 citations

Samantha Kennedy, Alexander Dunkel, Marcelline Dechenaud, Jerome Weston, John Shepherd +3 more

Beyond Body Mass Index: Accurate Metabolic Disease‐Risk Phenotyping With 3D Smartphone Application

Obesity Science & Practice(2024)10.1002/osp4.70025

N/A

0DataRank · unranked

2 citations

Grant M. Tinsley, Sophia Ramirez, Steven B. Heymsfield, Cassidy McCarthy

Childhood obesity intervention studies: A narrative review and guide for investigators, authors, editors, reviewers, journalists, and readers to guard against exaggerated effectiveness claims

UNC Libraries(2024)10.17615/rw3x-8545

N/A

0DataRank · unranked

0 citations

Theodore K. Kyle, Shima Dowla, John Dawson, Andrew Gelman, Scott W. Keith +13 more

Accurate Prediction of Anthropometric Body Dimensions by 3D Optical Imaging Versus a High-Resolution 3D Laser Scanner

Current Developments in Nutrition(2024)10.1016/j.cdnut.2024.103559

N/A

0DataRank · unranked

0 citations

Cassidy McCarthy, Samantha Kennedy, Steven B. Heymsfield

Accurate Prediction of Three-Dimensional Humanoid Avatars for Anthropometric Modeling

Research Square(2024)10.21203/rs.3.rs-4565498/v1

N/A

0DataRank · unranked

0 citations

Cassidy McCarthy, M. C. Wong, Jasmine Brown, Sophia Ramirez, Shengping Yang +3 more

Updates on Methods for Body Composition Analysis: Implications for Clinical Practice

Current Obesity Reports(2025)10.1007/s13679-024-00593-w

N/A

0DataRank · unranked

45 citations

Ira Crofford, John Scudder, Brittany Oletti, Ashok Deb, Steven B. Heymsfield +1 more

Recent advances in understanding the role of leptin in energy homeostasis

F1000Research(2020)10.12688/f1000research.24260.1

N/A

0DataRank · unranked

45 citations

Prachi Singh, Steven B. Heymsfield, Sangho Yu, Christopher D. Morrison, Heike Münzberg

Call to Improve Coding of Cancer-Associated Cachexia

JCO Oncology Practice(2025)10.1200/op-24-00781

N/A

0DataRank · unranked

8 citations

Richard F. Dunne, Amy Moore, Wendy Phillips, Steven B. Heymsfield, Justin C. Brown +3 more

3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology

npj Digital Medicine(2025)10.1038/s41746-025-01469-6

N/A

0DataRank · unranked

4 citations

Jason Liu, M. C. Wong, Nisa N. Kelly, Yong E. Liu, Andrea K. Garber +4 more

Increased adiposity and impaired sleep are associated with severity of greater trochanteric pain syndrome: a cross-sectional study

Frontiers in Medicine(2025)10.3389/fmed.2025.1718267

N/A

0DataRank · unranked

1 citations

Chiara Busso, Marta Andrighetti, Elisabetta Quilico, John Shepherd, Steven B. Heymsfield +2 more

Digital Anthropometry for Body Circumference Measurements: European Phenotypic Variations throughout the Decades

Journal of Personalized Medicine(2022)10.3390/jpm12060906

N/A

0DataRank · unranked

42 citations

Angelo Pietrobelli, Chiara Busso, Jonathan P. Bennett, Andrea Ferraris, John Shepherd +2 more

D3‐creatine dilution for skeletal muscle mass measurement: historical development and current status

Journal of Cachexia Sarcopenia and Muscle(2022)10.1002/jcsm.13083

N/A

0DataRank · unranked

49 citations

DALE SCHOELLER, Justin C. Brown, Marı́a Cristina González, Alyssa N. Varanoske, Devon Cataldi +3 more

Reply to A Drewnowski et al, O Devinsky, D A Booth and E L Gibson, and D J Millward

American Journal of Clinical Nutrition(2021)10.1093/ajcn/nqab385

N/A

0DataRank · unranked

2 citations

Louis J. Aronne, Arne Astrup, Rafael de Cabo, Lewis C. Cantley, Mark I. Friedman +12 more

Targeting visceral adiposity with pharmacotherapy

The Lancet Diabetes & Endocrinology(2021)10.1016/s2213-8587(21)00204-7

N/A

0DataRank · unranked

3 citations

Steven B. Heymsfield, Kishore M. Gadde

Can increasing physical activity prevent aging-related loss of skeletal muscle?

American Journal of Clinical Nutrition(2021)10.1093/ajcn/nqab283

N/A

0DataRank · unranked

2 citations

Nicole Fearnbach, Steven B. Heymsfield