Donato A. Rivas
- Physiology top 2%
- Adipose Tissue and Metabolism 28
- Diet and metabolism studies 6
- Rehabilitation top 2%
- Exercise and Physiological Responses 8
- Cell Biology top 5%
- Muscle metabolism and nutrition 14
- Aging top 10%
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- Muscle Physiology and Disorders 12
- Metabolism, Diabetes, and Cancer 11
- PI3K/AKT/mTOR signaling in cancer 4
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- MicroRNA in disease regulation 5
- Co-authors
- Roger A. FieldingSarah J. LessardJohn A. HawleyBen B. YaspelkisLee M. MargolisMaurício MoraisNicholas RiceLisa Ceglia
- Cited by
- PhysiologyRehabilitationCell Biology
- Journals
- Journal of Clinical Investigation (1 paper)Nature Communications (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- United StatesAustraliaBrazil
In The Last Decade
Donato A. Rivas
49 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 90
- Physiology 996
- Rehabilitation 211
- Cell Biology 414
- Aging 37
- Orthopedics and Sports Medicine 117
Countries citing papers authored by Donato A. Rivas
This map shows the geographic impact of Donato A. Rivas'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 Donato A. Rivas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donato A. Rivas more than expected).
Fields of papers citing papers by Donato A. Rivas
This network shows the impact of papers produced by Donato A. Rivas. 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 Donato A. Rivas. The network helps show where Donato A. Rivas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Donato A. Rivas, 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 9 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 3 | |
| 6 | 2018 | 80 | |
| 7 | 2018 | 26 | |
| 8 | 2016 | 69 | |
| 9 | 2016 | 34 | |
| 10 | 2014 | 9 | |
| 11 | 2013 | 13 | |
| 12 | 2013 | 196 | |
| 13 | 2012 | 123 | |
| 14 | 2011 | 18 | |
| 15 | 2010 | 5 | |
| 16 | 2009 | 50 | |
| 17 | 2008 | 54 | |
| 18 | 2006 | 10 | |
| 19 | 2005 | 12 | |
| 20 | 2005 | 12 |
About Donato A. Rivas
Donato A. Rivas is a scholar working on Physiology, Rehabilitation and Cell Biology, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (28 papers), Muscle metabolism and nutrition (14 papers), Muscle Physiology and Disorders (12 papers), Metabolism, Diabetes, and Cancer (11 papers), Exercise and Physiological Responses (8 papers), Diet and metabolism studies (6 papers), MicroRNA in disease regulation (5 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). The work is most often cited by research in Physiology (996 citations), Rehabilitation (211 citations) and Cell Biology (414 citations). Donato A. Rivas has collaborated with scholars based in United States, Australia and Brazil. Frequent co-authors include Roger A. Fielding, Sarah J. Lessard, John A. Hawley, Ben B. Yaspelkis, Lee M. Margolis, Maurício Morais, Nicholas Rice, Lisa Ceglia, Laurie J. Goodyear and Bess Dawson‐Hughes. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Clinical Endocrinology & Metabolism.
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.