Greg C. Smith

811 citations
25 papers · 595 indexed · h-index 15

Impact in

    • Exercise and Physiological Responses
  • Physiology top 10%
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies

Papers in

    • Metabolism, Diabetes, and Cancer 7
    • PI3K/AKT/mTOR signaling in cancer 4
    • Protein Kinase Regulation and GTPase Signaling 3
    • Adipose Tissue and Metabolism 6

Greg C. Smith

25 papers receiving 584 citations

Peers

Greg C. Smith
Comparison fields: 5 of 91
  • Rehabilitation 60
  • Physiology 225
  • Cell Biology 101
  • Complementary and alternative medicine 47
  • Endocrine and Autonomic Systems 37
Replace Jason J. Winnick with:
Jason J. Winnick United States
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Manuel Manzano Spain
Patrícia Martins Bock Brazil
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Zherong Xu China
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Aline Bittencourt Brazil
Sílvia Saiuli Miki Ihara Brazil
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Citations per field
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Jason J. Winnick · 1×
Citations per year

Countries citing papers authored by Greg C. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Greg C. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg C. Smith. 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 Greg C. Smith. The network helps show where Greg C. Smith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201484
2 201278
3 201355
4 201237
5 201135
6 201730
7 201727
8 201522
9 201421
10 201821
11 201320
12 201517
13 201416
14 201616
15 202315
16 202014
17 201513
18 201313
19 201612
20 201712

About Greg C. Smith

Greg C. Smith is a scholar working on Molecular Biology, Physiology, Surgery, Nutrition and Dietetics and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 595 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (7 papers), Pancreatic function and diabetes (6 papers), Adipose Tissue and Metabolism (6 papers), Diabetes Treatment and Management (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Muscle metabolism and nutrition (3 papers) and Exercise and Physiological Responses (3 papers). The work is most often cited by research in Rehabilitation (60 citations), Physiology (225 citations), Cell Biology (101 citations), Complementary and alternative medicine (47 citations) and Endocrine and Autonomic Systems (37 citations). Greg C. Smith has collaborated with scholars based in Australia, New Zealand and Singapore. Frequent co-authors include Peter R. Shepherd, Rob Duffield, Cheyne E. Donges, Johann Edge, David Cameron‐Smith, Wayne S. Cutfield, David R. Adams, Kym J. Guelfi, Christine Brennan and Janene B. Biggs. Their work appears in journals such as Biochemical Journal, Scientific Reports, Applied Physiology Nutrition and Metabolism, FEBS Letters and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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