Shane Austin
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
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- Mitochondrial Function and Pathology 7
- ATP Synthase and ATPases Research 6
- Genetics, Bioinformatics, and Biomedical Research 2
- Metabolism, Diabetes, and Cancer 2
-
- Adipose Tissue and Metabolism 3
- Co-authors
- Julie St‐Pierre (3 shared papers)Karin Nowikovsky (7 shared papers)Eva Klimčáková (1 shared paper)Christina Pfeiffer (2 shared papers)Mario Zoratti (1 shared paper)Andrea Mattarei (1 shared paper)Julia Seifert (1 shared paper)Diego De Stefani (1 shared paper)
- Journals
- Biochimica et Biophysica Acta (BBA) - Bioenergetics (2 papers)BMJ Open (1 paper)Analytical Chemistry (1 paper)Trends in Biochemical Sciences (1 paper)Free Radical Biology and Medicine (1 paper)
- Partner nations
- BarbadosAustriaUnited States
In The Last Decade
Shane Austin
18 papers receiving 816 citations
Shane Austin's Hit Papers
Peers
Comparison fields: 5 of 100
- Geriatrics and Gerontology 55
- Physiology 241
- Aging 16
- Clinical Biochemistry 57
- Molecular Biology 514
Countries citing papers authored by Shane Austin
This map shows the geographic impact of Shane Austin'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 Shane Austin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shane Austin more than expected).
Fields of papers citing papers by Shane Austin
This network shows the impact of papers produced by Shane Austin. 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 Shane Austin. The network helps show where Shane Austin may publish in the future.
Co-authors
The 25 scholars most cited alongside Shane Austin, 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 | PGC1α and mitochondrial metabolism – emerging concepts and relevance in ageing and neurodegenerative disorders Hit paper breakdown → | 2012 | 507 |
| 2 | 2017 | 56 | |
| 3 | 2019 | 49 | |
| 4 | 2022 | 43 | |
| 5 | 2011 | 38 | |
| 6 | 2012 | 35 | |
| 7 | 2015 | 25 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 12 | |
| 10 | 2020 | 10 | |
| 11 | 2017 | 8 | |
| 12 | 2014 | 5 | |
| 13 | 2015 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2024 | 1 | |
| 17 | 2014 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 0 |
About Shane Austin
Shane Austin is a scholar working on Molecular Biology, Physiology, Oncology, Epidemiology and Clinical Biochemistry, having authored 19 papers that have together received 821 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), ATP Synthase and ATPases Research (6 papers), Adipose Tissue and Metabolism (3 papers), Metabolism and Genetic Disorders (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Insect symbiosis and bacterial influences (2 papers) and Endometriosis Research and Treatment (2 papers). The work is most often cited by research in Geriatrics and Gerontology (55 citations), Physiology (241 citations), Aging (16 citations), Clinical Biochemistry (57 citations) and Molecular Biology (514 citations). Shane Austin has collaborated with scholars based in Barbados, Austria and United States. Frequent co-authors include Julie St‐Pierre, Karin Nowikovsky, Eva Klimčáková, Christina Pfeiffer, Mario Zoratti, Andrea Mattarei, Julia Seifert, Diego De Stefani, Miguel Bazile and Marie‐José Blouin. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Bioenergetics, BMJ Open, Analytical Chemistry, Trends in Biochemical Sciences and Free Radical Biology and Medicine.
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.