Michaela E. Murphy
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 10%
- Diet and metabolism studies
- Adipose Tissue and Metabolism
- Dietary Effects on Health
Papers in
- Physiology 11
- Diet and metabolism studies 7
- Adipose Tissue and Metabolism 6
- Biochemical effects in animals 3
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
- Co-authors
- Dudley W. Lamming (10 shared papers)Cara J. Westmark (1 shared paper)Nicole E. Richardson (2 shared papers)Reji Babygirija (7 shared papers)Cara L. Green (5 shared papers)Judith Simcox (5 shared papers)Heidi H. Pak (3 shared papers)Cholsoon Jang (3 shared papers)
- Journals
- Cell Metabolism (3 papers)Aging Cell (3 papers)GeroScience (3 papers)The Journal of Physiology (1 paper)Nutrients (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Michaela E. Murphy
16 papers receiving 629 citations
Michaela E. Murphy's Hit Papers
Peers
Comparison fields: 5 of 95
- Aging 106
- Physiology 257
- Endocrine and Autonomic Systems 42
- Biological Psychiatry 12
- Geriatrics and Gerontology 11
Countries citing papers authored by Michaela E. Murphy
This map shows the geographic impact of Michaela E. Murphy'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 Michaela E. Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela E. Murphy more than expected).
Fields of papers citing papers by Michaela E. Murphy
This network shows the impact of papers produced by Michaela E. Murphy. 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 Michaela E. Murphy. The network helps show where Michaela E. Murphy may publish in the future.
Co-authors
The 25 scholars most cited alongside Michaela E. Murphy, 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 | The adverse metabolic effects of branched-chain amino acids are mediated by isoleucine and valine Hit paper breakdown → | 2021 | 292 |
| 2 | 2023 | 80 | |
| 3 | 2022 | 73 | |
| 4 | 2022 | 50 | |
| 5 | 2020 | 49 | |
| 6 | 2023 | 28 | |
| 7 | 2022 | 22 | |
| 8 | 2024 | 15 | |
| 9 | 2024 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2025 | 5 | |
| 12 | 2025 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2026 | 1 | |
| 16 | 2025 | 1 |
About Michaela E. Murphy
Michaela E. Murphy is a scholar working on Physiology, Aging, Cell Biology, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 16 papers that have together received 638 indexed citations. Recurring topics across this work include Diet and metabolism studies (7 papers), Adipose Tissue and Metabolism (6 papers), Muscle metabolism and nutrition (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Biochemical effects in animals (3 papers), Birth, Development, and Health (2 papers), Natural Antidiabetic Agents Studies (1 paper) and Coenzyme Q10 studies and effects (1 paper). The work is most often cited by research in Aging (106 citations), Physiology (257 citations), Endocrine and Autonomic Systems (42 citations), Biological Psychiatry (12 citations) and Geriatrics and Gerontology (11 citations). Michaela E. Murphy has collaborated with scholars based in United States and Canada. Frequent co-authors include Dudley W. Lamming, Cara J. Westmark, Nicole E. Richardson, Reji Babygirija, Cara L. Green, Judith Simcox, Heidi H. Pak, Cholsoon Jang, Irene M. Ong and Michelle M. Sonsalla. Their work appears in journals such as Cell Metabolism, Aging Cell, GeroScience, The Journal of Physiology and Nutrients.
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.