Marissa K. Caldow
- Rehabilitation top 2%
- Exercise and Physiological Responses 14
- Cell Biology top 5%
- Muscle metabolism and nutrition 17
- Physiology top 5%
- Adipose Tissue and Metabolism 7
- Diet and metabolism studies 3
- Geriatrics and Gerontology top 10%
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- Muscle Physiology and Disorders 21
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- GDF15 and Related Biomarkers 3
- Osteoarthritis Treatment and Mechanisms 3
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- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- René KoopmanGordon S. LynchDavid Cameron‐SmithDaniel J. HamPazit LevingerItamar LevingerAnnabel CheeBen D. Perry
- Cited by
- RehabilitationCell BiologyPhysiology
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (2 papers)Scientific Reports (1 paper)
- Partner nations
- AustraliaNew ZealandUnited Kingdom
In The Last Decade
Marissa K. Caldow
34 papers receiving 969 citations
Peers
Comparison fields: 5 of 88
- Rehabilitation 208
- Cell Biology 320
- Physiology 470
- Geriatrics and Gerontology 39
- Complementary and alternative medicine 76
Countries citing papers authored by Marissa K. Caldow
This map shows the geographic impact of Marissa K. Caldow'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 Marissa K. Caldow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marissa K. Caldow more than expected).
Fields of papers citing papers by Marissa K. Caldow
This network shows the impact of papers produced by Marissa K. Caldow. 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 Marissa K. Caldow. The network helps show where Marissa K. Caldow may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marissa K. Caldow, 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 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 12 | |
| 6 | 2019 | 31 | |
| 7 | 2017 | 8 | |
| 8 | 2017 | 38 | |
| 9 | 2017 | 28 | |
| 10 | 2016 | 13 | |
| 11 | 2015 | 46 | |
| 12 | 2015 | 15 | |
| 13 | 2015 | 26 | |
| 14 | 2015 | 1 | |
| 15 | 2014 | 36 | |
| 16 | 2014 | 69 | |
| 17 | 2012 | 17 | |
| 18 | 2012 | 2 | |
| 19 | 2011 | 42 | |
| 20 | 2011 | 20 |
About Marissa K. Caldow
Marissa K. Caldow is a scholar working on Rehabilitation, Cell Biology and Aging, having authored 37 papers that have together received 978 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (21 papers), Muscle metabolism and nutrition (17 papers), Exercise and Physiological Responses (14 papers), Adipose Tissue and Metabolism (7 papers), GDF15 and Related Biomarkers (3 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Diet and metabolism studies (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Rehabilitation (208 citations), Cell Biology (320 citations) and Physiology (470 citations). Marissa K. Caldow has collaborated with scholars based in Australia, New Zealand and United Kingdom. Frequent co-authors include René Koopman, Gordon S. Lynch, David Cameron‐Smith, Daniel J. Ham, Pazit Levinger, Itamar Levinger, Annabel Chee, Ben D. Perry, James F. Markworth and Anthony J. Blazevich. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.