Steve Risis
Impact in
- Geriatrics and Gerontology top 2%
- Physiology top 5%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
-
- Autophagy in Disease and Therapy 3
- Adipokines, Inflammation, and Metabolic Diseases 2
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- Adipose Tissue and Metabolism 4
- Calcium signaling and nucleotide metabolism 2
- Co-authors
- Mark A. Febbraio (8 shared papers)Clinton R. Bruce (8 shared papers)Peter J. Meikle (5 shared papers)Christine Yang (3 shared papers)Greg M. Kowalski (6 shared papers)Darren C. Henstridge (3 shared papers)Robert S. Lee (5 shared papers)Melissa Barber (1 shared paper)
- Journals
- Diabetologia (3 papers)Diabetes (2 papers)Biochemical and Biophysical Research Communications (1 paper)The Journal of Physiology (1 paper)Endocrinology (1 paper)
- Partner nations
- AustraliaUnited StatesDenmark
In The Last Decade
Steve Risis
14 papers receiving 1.5k citations
Steve Risis's Hit Papers
Peers
Comparison fields: 5 of 94
- Geriatrics and Gerontology 104
- Physiology 620
- Biochemistry 112
- Epidemiology 461
- Endocrine and Autonomic Systems 69
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-authors
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 | Distinct patterns of tissue-specific lipid accumulation during the induction of insulin resistance in mice by high-fat feeding Hit paper breakdown → | 2013 | 351 |
| 2 | 2012 | 292 | |
| 3 | 2010 | 272 | |
| 4 | 2012 | 121 | |
| 5 | 2015 | 85 | |
| 6 | 2013 | 83 | |
| 7 | 2015 | 69 | |
| 8 | 2011 | 68 | |
| 9 | 2011 | 50 | |
| 10 | 2012 | 49 | |
| 11 | 2017 | 37 | |
| 12 | 2016 | 22 | |
| 13 | 2015 | 10 | |
| 14 | 2018 | 8 |
About Steve Risis
Steve Risis is a scholar working on Epidemiology, Physiology, Molecular Biology, Geriatrics and Gerontology and Physiology, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Autophagy in Disease and Therapy (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), Sphingolipid Metabolism and Signaling (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Lipid metabolism and biosynthesis (2 papers), Calcium signaling and nucleotide metabolism (2 papers) and Anesthesia and Neurotoxicity Research (1 paper). The work is most often cited by research in Geriatrics and Gerontology (104 citations), Physiology (620 citations), Biochemistry (112 citations), Epidemiology (461 citations) and Endocrine and Autonomic Systems (69 citations). Steve Risis has collaborated with scholars based in Australia, United States and Denmark. Frequent co-authors include Mark A. Febbraio, Clinton R. Bruce, Peter J. Meikle, Christine Yang, Greg M. Kowalski, Darren C. Henstridge, Robert S. Lee, Melissa Barber, Margaret Staples and J.R. Babb. Their work appears in journals such as Diabetologia, Diabetes, Biochemical and Biophysical Research Communications, The Journal of Physiology 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.