Scott Fuller

406 citations
15 papers · 303 · h-index 6

Impact in

Papers in

    • Adipose Tissue and Metabolism 10
    • Diet and metabolism studies 3
    • Adipokines, Inflammation, and Metabolic Diseases 5

Scott Fuller

14 papers receiving 297 citations

Peers

Scott Fuller
Comparison fields: 5 of 60
  • Physiology 146
  • Endocrinology, Diabetes and Metabolism 78
  • Cell Biology 49
  • Complementary and alternative medicine 24
  • Clinical Biochemistry 18
Replace Pragati Singh with:
Pragati Singh India
Matthieu Bringart France
E. M. Carneiro Brazil
Yanlin Wang-Fischer United States
Aldeam Facey Jamaica
Kimberly R. Haynie United States
Natsuki Eguchi United States
Rudo F. Mapanga South Africa
Glaucia Regina Borba‐Murad Brazil
Toran Sanli Switzerland
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Citations per field
00.5×10×15×20×23×
Pragati Singh · 1×
Citations per year

Countries citing papers authored by Scott Fuller

Since Specialization
Citations

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

Fields of papers citing papers by Scott Fuller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2015105
2 201597
3 202124
4 201423
5 201920
6 20198
7 20145
8 20185
9 20205
10 20215
11 20182
12 20192
13 20251
14 20181
15 20230

About Scott Fuller

Scott Fuller is a scholar working on Physiology, Epidemiology, Endocrinology, Diabetes and Metabolism, Molecular Biology and Cell Biology, having authored 15 papers that have together received 303 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Diet, Metabolism, and Disease (3 papers), Muscle metabolism and nutrition (3 papers), Diet and metabolism studies (3 papers), Natural Antidiabetic Agents Studies (2 papers), Exercise and Physiological Responses (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Physiology (146 citations), Endocrinology, Diabetes and Metabolism (78 citations), Cell Biology (49 citations), Complementary and alternative medicine (24 citations) and Clinical Biochemistry (18 citations). Scott Fuller has collaborated with scholars based in United States. Frequent co-authors include Jacqueline M. Stephens, Robert C. Noland, Randall L. Mynatt, Jingying Zhang, Shawna Wicks, Kimberly R. Haynie, Xianlin Han, Bolormaa Vandanmagsar, Jaycob D. Warfel and Miao Wang. Their work appears in journals such as Medicine & Science in Sports & Exercise, Proceedings of the National Academy of Sciences, American Journal of Physiology-Endocrinology and Metabolism, The FASEB Journal and Biology of Sex Differences.

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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