Adam Hagg
Impact in
- Cell Biology top 10%
- Muscle metabolism and nutrition
- Hippo pathway signaling and YAP/TAZ
- Physiology top 10%
- Nutrition and Health in Aging
- Adipose Tissue and Metabolism
Papers in
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- Muscle Physiology and Disorders 9
- Ubiquitin and proteasome pathways 2
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- Nutrition and Health in Aging 6
- Adipose Tissue and Metabolism 2
- Co-authors
- Paul Gregorevic (13 shared papers)Hongwei Qian (11 shared papers)Kelly L. Walton (8 shared papers)Craig A. Harrison (8 shared papers)Justin L. Chen (6 shared papers)Patricio V. Sepulveda (3 shared papers)Catherine E. Winbanks (3 shared papers)Jonathan R. Davey (3 shared papers)
- Journals
- Scientific Reports (2 papers)Proceedings of the National Academy of Sciences (2 papers)Science Translational Medicine (1 paper)Endocrinology (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Adam Hagg
14 papers receiving 560 citations
Peers
Comparison fields: 5 of 52
- Cell Biology 129
- Physiology 203
- Molecular Biology 436
- Aging 11
- Genetics 63
Countries citing papers authored by Adam Hagg
This map shows the geographic impact of Adam Hagg'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 Adam Hagg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Hagg more than expected).
Fields of papers citing papers by Adam Hagg
This network shows the impact of papers produced by Adam Hagg. 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 Adam Hagg. The network helps show where Adam Hagg may publish in the future.
Co-authors
The 25 scholars most cited alongside Adam Hagg, 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 | 2015 | 120 | |
| 2 | 2017 | 82 | |
| 3 | 2013 | 73 | |
| 4 | 2016 | 70 | |
| 5 | 2016 | 61 | |
| 6 | 2015 | 33 | |
| 7 | 2018 | 29 | |
| 8 | 2021 | 20 | |
| 9 | 2019 | 20 | |
| 10 | Specific targeting of TGF-beta family ligands demonstrates distinct roles in the regulation of muscle mass in health and disease | 2018 | 19 |
| 11 | 2016 | 16 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 7 | |
| 14 | 2023 | 2 |
About Adam Hagg
Adam Hagg is a scholar working on Molecular Biology, Physiology, Rheumatology, Cell Biology and Surgery, having authored 14 papers that have together received 564 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (9 papers), Nutrition and Health in Aging (6 papers), GDF15 and Related Biomarkers (3 papers), Mesenchymal stem cell research (2 papers), Muscle metabolism and nutrition (2 papers), Adipose Tissue and Metabolism (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Cell Biology (129 citations), Physiology (203 citations), Molecular Biology (436 citations), Aging (11 citations) and Genetics (63 citations). Adam Hagg has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Paul Gregorevic, Hongwei Qian, Kelly L. Walton, Craig A. Harrison, Justin L. Chen, Patricio V. Sepulveda, Catherine E. Winbanks, Jonathan R. Davey, Claudia Beyer and Kevin I. Watt. Their work appears in journals such as Scientific Reports, Proceedings of the National Academy of Sciences, Science Translational Medicine, Endocrinology and Molecular & Cellular Proteomics.
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.