Steve Risis
- Physiology top 5%
- Adipose Tissue and Metabolism 10
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine 3
- Biochemistry top 5%
- Lipid metabolism and biosynthesis 2
- Epidemiology top 5%
- Adipokines, Inflammation, and Metabolic Diseases 5
- Autophagy in Disease and Therapy 3
- Endocrine and Autonomic Systems top 10%
-
- Sphingolipid Metabolism and Signaling 3
- Metabolomics and Mass Spectrometry Studies 2
- Peroxisome Proliferator-Activated Receptors 2
- Co-authors
- Mark A. FebbraioClinton R. BrucePeter J. MeikleChristine YangGreg M. KowalskiDarren C. HenstridgeRobert S. LeeMargaret Staples
- Partner nations
- AustraliaDenmarkUnited States
In The Last Decade
Steve Risis
14 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 98
- Physiology 752
- Geriatrics and Gerontology 113
- Biochemistry 129
- Epidemiology 540
- Endocrine and Autonomic Systems 84
Countries citing papers authored by Steve Risis
This map shows the geographic impact of Steve Risis'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 Steve Risis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Risis more than expected).
Fields of papers citing papers by Steve Risis
This network shows the impact of papers produced by Steve Risis. 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 Steve Risis. The network helps show where Steve Risis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steve Risis, 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 | 2018 | 8 | |
| 2 | 2017 | 36 | |
| 3 | 2016 | 22 | |
| 4 | 2015 | 10 | |
| 5 | 2015 | 82 | |
| 6 | 2015 | 67 | |
| 7 | 2013 | 80 | |
| 8 | 2013 | 349 | |
| 9 | 2012 | 288 | |
| 10 | 2012 | 120 | |
| 11 | 2012 | 49 | |
| 12 | 2011 | 50 | |
| 13 | 2011 | 67 | |
| 14 | 2010 | 271 |
About Steve Risis
Steve Risis is a scholar working on Geriatrics and Gerontology, Physiology, Physiology, Biochemistry and Developmental Neuroscience, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Autophagy in Disease and Therapy (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), Sphingolipid Metabolism and Signaling (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Physiology (752 citations), Geriatrics and Gerontology (113 citations), Biochemistry (129 citations), Epidemiology (540 citations) and Endocrine and Autonomic Systems (84 citations). Steve Risis has collaborated with scholars based in Australia, Denmark and United States. Frequent co-authors include Mark A. Febbraio, Clinton R. Bruce, Peter J. Meikle, Christine Yang, Greg M. Kowalski, Darren C. Henstridge, Robert S. Lee, Margaret Staples, Melissa Barber and J.R. Babb. Their work appears in journals such as Diabetologia, Diabetes, Cell Metabolism, American Journal of Physiology-Endocrinology and Metabolism and Endocrinology.
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.