Hayley M. O’Neill
- Molecular Biology top 5%
- Physiology top 2%
- Surgery top 5%
- Epidemiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Gregory R. SteinbergGraham P. HollowayBruce E. KempJonathan D. SchertzerBryce J. van DenderenSandra GalićSebastian B. JørgensenMorgan D. Fullerton
- Topics
- Adipose Tissue and Metabolism (10 papers)Metabolism, Diabetes, and Cancer (9 papers)Pancreatic function and diabetes (5 papers)
In The Last Decade
Hayley M. O’Neill
24 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 1.4k
- Physiology 917
- Surgery 547
- Epidemiology 499
- Endocrinology, Diabetes and Metabolism 324
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 of co-authors of Hayley M. O’Neill
This figure shows the co-authorship network connecting the top 25 collaborators of Hayley M. O’Neill. A scholar is included among the top collaborators of Hayley M. O’Neill based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hayley M. O’Neill. Hayley M. O’Neill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 17 | |
| 7 | 69 | |
| 8 | 28 | |
| 9 | 18 | |
| 10 | Can an Aerobic Exercise Program Influence Sedentary Behavior and Moderate-Vigorous Physical Activity in Patients with Type 2 Diabetes? | 1 |
| 11 | 115 | |
| 12 | 24 | |
| 13 | 20 | |
| 14 | 32 | |
| 15 | Single phosphorylation sites in Acc1 and Acc2 regulate lipid homeostasis and the insulin-sensitizing effects of metforminbreakdown → | 671 |
| 16 | 15 | |
| 17 | 288 | |
| 18 | 333 | |
| 19 | 138 | |
| 20 | 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) and Pancreatic function and diabetes (5 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.