S. McCarthy

10 papers receiving 587 citations

Peers

S. McCarthy
Comparison fields: 5 of 73
  • Endocrine and Autonomic Systems 102
  • Public Health, Environmental and Occupational Health 291
  • Physiology 247
  • Endocrinology, Diabetes and Metabolism 115
  • Pediatrics, Perinatology and Child Health 122
Replace N-F Chu with:
N-F Chu Taiwan
Sonia Hulman United States
P Hlavatý Czechia
Christine Frithioff‐Bøjsøe Denmark
Emílio Antônio Francischetti Brazil
Kohji Kodera Japan
I Harper United States
Leticia Goñi Spain
Virginia Genelhu Brazil
Tenna Ruest Haarmark Nielsen Denmark
S. McCarthy relative to N-F Chu Taiwan N-F Chu's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by S. McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by S. McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside S. McCarthy, 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 S. McCarthy Line = papers co-authored together S. McCarthy links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 199728
2 199610
3 1996101
4 1996250
5 1995153
6
Biobehavioral effects of weight cycling.
199417
7 199111
8 197412
9 197218
10 196920

About S. McCarthy

S. McCarthy is a scholar working on Animal Science and Zoology, Nutrition and Dietetics, Cell Biology, Endocrine and Autonomic Systems and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 620 indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (3 papers), Muscle metabolism and nutrition (3 papers), Obesity, Physical Activity, Diet (2 papers), Meat and Animal Product Quality (2 papers), Fatty Acid Research and Health (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (102 citations), Public Health, Environmental and Occupational Health (291 citations), Physiology (247 citations), Endocrinology, Diabetes and Metabolism (115 citations) and Pediatrics, Perinatology and Child Health (122 citations). S. McCarthy has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Sonia Caprio, Robert Lange, Mary L. Bronson, Tamborlane Wv, W. V. Tamborlane, R. S. Sherwin, Charles J. Limb, Graham Smith, Gerald I. Shulman and David Silver. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Advances in experimental medicine and biology, Pediatric Research, Journal of Dairy Research and Journal of Liquid Chromatography & Related Technologies.

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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