Hayley M. O’Neill
- Physiology top 2%
- Adipose Tissue and Metabolism 10
- Diet and metabolism studies 4
- Geriatrics and Gerontology top 5%
- Molecular Biology top 5%
- Metabolism, Diabetes, and Cancer 9
- Rehabilitation top 5%
- Exercise and Physiological Responses 2
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- Pancreatic function and diabetes 5
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- Muscle metabolism and nutrition 3
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- Food Allergy and Anaphylaxis Research 2
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- Adipokines, Inflammation, and Metabolic Diseases 2
- Co-authors
- Gregory R. SteinbergGraham P. HollowayBruce E. KempJonathan D. SchertzerBryce J. van DenderenSandra GalićSebastian B. JørgensenMorgan D. Fullerton
In The Last Decade
Hayley M. O’Neill
24 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Physiology 917
- Geriatrics and Gerontology 118
- Molecular Biology 1.4k
- Endocrinology, Diabetes and Metabolism 324
- Rehabilitation 107
Countries citing papers authored by Hayley M. O’Neill
This map shows the geographic impact of Hayley M. O’Neill'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 Hayley M. O’Neill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hayley M. O’Neill more than expected).
Fields of papers citing papers by Hayley M. O’Neill
This network shows the impact of papers produced by Hayley M. O’Neill. 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 Hayley M. O’Neill. The network helps show where Hayley M. O’Neill may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hayley M. O’Neill, 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 | 10 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 1 | |
| 6 | 2020 | 17 | |
| 7 | 2019 | 69 | |
| 8 | 2015 | 28 | |
| 9 | 2015 | 18 | |
| 10 | Can an Aerobic Exercise Program Influence Sedentary Behavior and Moderate-Vigorous Physical Activity in Patients with Type 2 Diabetes? | 2015 | 1 |
| 11 | 2014 | 115 | |
| 12 | 2014 | 24 | |
| 13 | 2014 | 20 | |
| 14 | 2013 | 32 | |
| 15 | Single phosphorylation sites in Acc1 and Acc2 regulate lipid homeostasis and the insulin-sensitizing effects of metforminbreakdown → | 2013 | 671 |
| 16 | 2013 | 15 | |
| 17 | 2012 | 288 | |
| 18 | 2011 | 333 | |
| 19 | 2010 | 138 | |
| 20 | 2009 | 39 |
About Hayley M. O’Neill
Hayley M. O’Neill is a scholar working on Health Informatics, Physiology and Immunology and Allergy, having authored 24 papers that have together received 2.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Metabolism, Diabetes, and Cancer (9 papers), Pancreatic function and diabetes (5 papers), Diet and metabolism studies (4 papers), Muscle metabolism and nutrition (3 papers), Exercise and Physiological Responses (2 papers), Food Allergy and Anaphylaxis Research (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Physiology (917 citations), Geriatrics and Gerontology (118 citations) and Molecular Biology (1.4k citations). Hayley M. O’Neill has collaborated with scholars based in Australia, Canada and Denmark. Frequent co-authors include Gregory R. Steinberg, Graham P. Holloway, Bruce E. Kemp, Jonathan D. Schertzer, Bryce J. van Denderen, Sandra Galić, Sebastian B. Jørgensen, Morgan D. Fullerton, Thomas Pulinilkunnil and Jason R.B. Dyck. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.
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.