Scott Eric Fuller

427 citations
15 papers · 341 · h-index 6

Impact in

Papers in

Scott Eric Fuller

15 papers receiving 333 citations

Peers

Scott Eric Fuller
Comparison fields: 5 of 53
  • Endocrinology, Diabetes and Metabolism 82
  • Physiology 97
  • Biochemistry 20
  • Complementary and alternative medicine 27
  • Clinical Biochemistry 12
Replace Kimberly R. Haynie with:
Kimberly R. Haynie United States
Bruno Gonzaga Teodoro Brazil
Kareem Jabbour United States
Xia Hu China
Julie A. Sloniger United States
José Luis Bucarey Chile
Anna Cassanyé Spain
Inês Sousa‐Lima Portugal
Nobumasa Iwanaka Japan
Nastaran Faghihnia United States
Scott Eric Fuller relative to Kimberly R. Haynie United States Kimberly R. Haynie's profile →
Citations per field
00.5×2×2.8×
Kimberly R. Haynie · 1×
Citations per year

Countries citing papers authored by Scott Eric Fuller

Since Specialization
Citations

This map shows the geographic impact of Scott Eric 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 Eric 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 Eric Fuller more than expected).

Fields of papers citing papers by Scott Eric Fuller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2015114
2 2015112
3 202128
4 201424
5 201921
6 20198
7 20186
8 20206
9 20236
10 20145
11 20183
12 20253
13 20162
14 20192
15 20181

About Scott Eric Fuller

Scott Eric Fuller is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Complementary and alternative medicine, Epidemiology and Molecular Biology, having authored 15 papers that have together received 341 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Diet and metabolism studies (3 papers), Cardiovascular and exercise physiology (2 papers), Natural Antidiabetic Agents Studies (2 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (82 citations), Physiology (97 citations), Biochemistry (20 citations), Complementary and alternative medicine (27 citations) and Clinical Biochemistry (12 citations). Scott Eric Fuller has collaborated with scholars based in United States, Belgium and Singapore. Frequent co-authors include Jacqueline M. Stephens, Robert C. Noland, Randall L. Mynatt, Jaycob D. Warfel, Jingying Zhang, Bolormaa Vandanmagsar, Xianlin Han, Kimberly R. Haynie, Shawna E. Wicks and Miao Wang. Their work appears in journals such as Medicine & Science in Sports & Exercise, The FASEB Journal, Nutrients, Biology of Sex Differences and Biology.

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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