Samuel LaBarge
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
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- Adipose Tissue and Metabolism
Papers in
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- Muscle Physiology and Disorders 4
- Ubiquitin and proteasome pathways 3
- Histone Deacetylase Inhibitors Research 3
- Metabolism, Diabetes, and Cancer 2
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- Adipose Tissue and Metabolism 3
- Co-authors
- Simon Schenk (10 shared papers)Janice M. Huss (1 shared paper)Johan Auwerx (1 shared paper)Carrie E. McCurdy (6 shared papers)Amanda T. White (1 shared paper)Hubert Li (1 shared paper)Nagarajan Vaidehi (1 shared paper)Joseph Kim (1 shared paper)
- Journals
- Molecular Metabolism (2 papers)The FASEB Journal (2 papers)American Journal of Physiology-Endocrinology and Metabolism (2 papers)PLoS ONE (2 papers)Molecules and Cells (1 paper)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
Samuel LaBarge
14 papers receiving 318 citations
Peers
Comparison fields: 5 of 66
- Geriatrics and Gerontology 26
- Physiology 108
- Rehabilitation 21
- Molecular Biology 173
- Genetics 24
Countries citing papers authored by Samuel LaBarge
This map shows the geographic impact of Samuel LaBarge'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 Samuel LaBarge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel LaBarge more than expected).
Fields of papers citing papers by Samuel LaBarge
This network shows the impact of papers produced by Samuel LaBarge. 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 Samuel LaBarge. The network helps show where Samuel LaBarge may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel LaBarge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 63 | |
| 2 | 2012 | 60 | |
| 3 | 2020 | 30 | |
| 4 | 2015 | 26 | |
| 5 | 2015 | 25 | |
| 6 | 2018 | 19 | |
| 7 | 2017 | 18 | |
| 8 | 2015 | 17 | |
| 9 | 2008 | 16 | |
| 10 | 2017 | 15 | |
| 11 | 2018 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2019 | 9 | |
| 14 | 2019 | 4 |
About Samuel LaBarge
Samuel LaBarge is a scholar working on Molecular Biology, Physiology, Rehabilitation, Genetics and Pathology and Forensic Medicine, having authored 14 papers that have together received 321 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (4 papers), Adipose Tissue and Metabolism (3 papers), Ubiquitin and proteasome pathways (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Exercise and Physiological Responses (2 papers), Cancer, Hypoxia, and Metabolism (1 paper) and Muscle metabolism and nutrition (1 paper). The work is most often cited by research in Geriatrics and Gerontology (26 citations), Physiology (108 citations), Rehabilitation (21 citations), Molecular Biology (173 citations) and Genetics (24 citations). Samuel LaBarge has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Simon Schenk, Janice M. Huss, Johan Auwerx, Carrie E. McCurdy, Amanda T. White, Hubert Li, Nagarajan Vaidehi, Joseph Kim, Eileen L. Heinrich and Andrew Philp. Their work appears in journals such as Molecular Metabolism, The FASEB Journal, American Journal of Physiology-Endocrinology and Metabolism, PLoS ONE and Molecules and Cells.
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.