Scott B. Going

11.4k citations
206 papers · 8.6k indexed · 1 hit paper · h-index 53

Scott B. Going

201 papers receiving 8.2k citations

Hit Papers

Genome-wide association study of habitual physical activi...253201820262020202350100150200250

Peers

Scott B. Going
Comparison fields: 5 of 171
  • Orthopedics and Sports Medicine 1.5k
  • Pharmacy 718
  • Physiology 3.7k
  • Public Health, Environmental and Occupational Health 3.5k
  • Applied Psychology 407
Replace Xuemei Sui with:
Xuemei Sui United States
Rachael W. Taylor New Zealand
Michael J. LaMonte United States
Andrea M. Kriska United States
Bryan Blissmer United States
Glenn A. Gaesser United States
Timothy G. Lohman United States
Ross E. Andersen United States
S. N. Blair United States
Deborah Riebe United States
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Citations per field
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Citations per year

Countries citing papers authored by Scott B. Going

Since Specialization
Citations

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

Fields of papers citing papers by Scott B. Going

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott B. Going. 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 Scott B. Going. The network helps show where Scott B. Going may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20224
2 20186
3 20186
4 20185
5
Estimation of whole body fat from appendicular soft tissue from peripheral quantitative computed tomography in adolescent girls.
20132
6 201336
7 20128
8 201176
9 201118
10 201175
11 201026
12 200679
13 200149
14 199945
15 199954
16 199998
17 1999183
18 199988
19 19907
20
Maximum Isometric Force Production Characteristics in Five Muscle Groups in Physically Active Young, Middle-Aged, and Older Men
19861

About Scott B. Going

Scott B. Going is a scholar working on Orthopedics and Sports Medicine, Physiology and Pharmacy, having authored 206 papers that have together received 8.6k indexed citations. Recurring topics across this work include Body Composition Measurement Techniques (74 papers), Obesity, Physical Activity, Diet (63 papers), Nutrition and Health in Aging (55 papers), Bone health and osteoporosis research (44 papers), Physical Activity and Health (20 papers), Children's Physical and Motor Development (15 papers), Obesity and Health Practices (15 papers) and Sports Performance and Training (12 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.5k citations), Pharmacy (718 citations) and Physiology (3.7k citations). Scott B. Going has collaborated with scholars based in United States, Portugal and Belgium. Frequent co-authors include Timothy G. Lohman, Pedro J. Teixeira, Linda Houtkooper, Luís B. Sardinha, T. G. Lohman, Ellen Cussler, Robert M. Blew, Lauve Metcalfe, Joshua N. Farr and Cynthia A. Thomson. Their work appears in journals such as Medicine & Science in Sports & Exercise, American Journal of Clinical Nutrition, Osteoporosis International, American Journal of Human Biology and Obesity.

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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