Matthew Triolo
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Nutrition and Health in Aging
- Diet and metabolism studies
- Aging top 10%
Papers in
-
- Muscle Physiology and Disorders 9
- Mitochondrial Function and Pathology 7
- Histone Deacetylase Inhibitors Research 1
- Physiology 10
- Adipose Tissue and Metabolism 8
- Lysosomal Storage Disorders Research 1
- Co-authors
- David A. Hood (11 shared papers)Ashley N. Oliveira (3 shared papers)Jonathan M. Memme (2 shared papers)Yuho Kim (2 shared papers)Avigail T. Erlich (2 shared papers)Rita Kumari (1 shared paper)Kaitlyn Beyfuss (1 shared paper)Mireille Khacho (4 shared papers)
- Journals
- Cells (2 papers)The Journal of Physiology (1 paper)iScience (1 paper)Pflügers Archiv - European Journal of Physiology (1 paper)Scientific Reports (1 paper)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Matthew Triolo
15 papers receiving 773 citations
Matthew Triolo's Hit Papers
Peers
Comparison fields: 5 of 77
- Physiology 430
- Aging 28
- Rehabilitation 80
- Geriatrics and Gerontology 37
- Molecular Biology 508
Countries citing papers authored by Matthew Triolo
This map shows the geographic impact of Matthew Triolo'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 Matthew Triolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Triolo more than expected).
Fields of papers citing papers by Matthew Triolo
This network shows the impact of papers produced by Matthew Triolo. 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 Matthew Triolo. The network helps show where Matthew Triolo may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Triolo, 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 | Maintenance of Skeletal Muscle Mitochondria in Health, Exercise, and Aging Hit paper breakdown → | 2018 | 387 |
| 2 | 2017 | 113 | |
| 3 | 2022 | 55 | |
| 4 | 2022 | 44 | |
| 5 | 2021 | 36 | |
| 6 | 2022 | 32 | |
| 7 | 2018 | 28 | |
| 8 | 2018 | 27 | |
| 9 | 2018 | 26 | |
| 10 | 2023 | 18 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 2024 | 1 |
About Matthew Triolo
Matthew Triolo is a scholar working on Molecular Biology, Physiology, Epidemiology, Cell Biology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 780 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (9 papers), Adipose Tissue and Metabolism (8 papers), Autophagy in Disease and Therapy (8 papers), Mitochondrial Function and Pathology (7 papers), Muscle metabolism and nutrition (2 papers), Metabolism and Genetic Disorders (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Lysosomal Storage Disorders Research (1 paper). The work is most often cited by research in Physiology (430 citations), Aging (28 citations), Rehabilitation (80 citations), Geriatrics and Gerontology (37 citations) and Molecular Biology (508 citations). Matthew Triolo has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include David A. Hood, Ashley N. Oliveira, Jonathan M. Memme, Yuho Kim, Avigail T. Erlich, Rita Kumari, Kaitlyn Beyfuss, Mireille Khacho, Nicole M. Baker and Yan Burelle. Their work appears in journals such as Cells, The Journal of Physiology, iScience, Pflügers Archiv - European Journal of Physiology and Scientific Reports.
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.