Aruna Asipu
Impact in
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- Diet, Metabolism, and Disease
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
Papers in
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- Metabolism, Diabetes, and Cancer 5
- Ubiquitin and proteasome pathways 2
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- Diet, Metabolism, and Disease 8
- Co-authors
- David T. Bonthron (9 shared papers)Christine P. Diggle (6 shared papers)Tomoki Kosugi (3 shared papers)Takuji Ishimoto (3 shared papers)Richard J. Johnson (3 shared papers)Christopher J. Rivard (3 shared papers)Shoichi Maruyama (3 shared papers)Yuri Y. Sautin (3 shared papers)
- Journals
- Nature Communications (2 papers)Biochemical and Biophysical Research Communications (2 papers)Proceedings of the National Academy of Sciences (1 paper)Gene (1 paper)Diabetes (1 paper)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Aruna Asipu
17 papers receiving 1.5k citations
Aruna Asipu's Hit Papers
Peers
Comparison fields: 5 of 149
- Endocrinology, Diabetes and Metabolism 588
- Epidemiology 438
- Physiology 313
- Sensory Systems 37
- Nephrology 43
Countries citing papers authored by Aruna Asipu
This map shows the geographic impact of Aruna Asipu'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 Aruna Asipu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aruna Asipu more than expected).
Fields of papers citing papers by Aruna Asipu
This network shows the impact of papers produced by Aruna Asipu. 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 Aruna Asipu. The network helps show where Aruna Asipu may publish in the future.
Co-authors
The 25 scholars most cited alongside Aruna Asipu, 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 | Correction: Corrigendum: Endogenous fructose production and metabolism in the liver contributes to the development of metabolic syndrome Hit paper breakdown → | 2013 | 725 |
| 2 | 2012 | 214 | |
| 3 | 2013 | 201 | |
| 4 | 2009 | 139 | |
| 5 | 2003 | 73 | |
| 6 | 2015 | 46 | |
| 7 | 2010 | 42 | |
| 8 | 2009 | 33 | |
| 9 | 2017 | 23 | |
| 10 | 2004 | 19 | |
| 11 | 2006 | 18 | |
| 12 | 1994 | 13 | |
| 13 | 2001 | 7 | |
| 14 | 1997 | 6 | |
| 15 | 1998 | 2 | |
| 16 | 2016 | 1 | |
| 17 | 1991 | 1 |
About Aruna Asipu
Aruna Asipu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Epidemiology, Surgery and Physiology, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (8 papers), Metabolism, Diabetes, and Cancer (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Pancreatic function and diabetes (4 papers), Diet and metabolism studies (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Ubiquitin and proteasome pathways (2 papers) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (588 citations), Epidemiology (438 citations), Physiology (313 citations), Sensory Systems (37 citations) and Nephrology (43 citations). Aruna Asipu has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include David T. Bonthron, Christine P. Diggle, Tomoki Kosugi, Takuji Ishimoto, Richard J. Johnson, Christopher J. Rivard, Shoichi Maruyama, Yuri Y. Sautin, Carlos A. Roncal-Jiménez and Miguel A. Lanaspa. Their work appears in journals such as Nature Communications, Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences, Gene and Diabetes.
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.