Hayley M. O’Neill

3.0k citations
24 papers · 2.2k indexed · 1 hit paper · h-index 17

Hayley M. O’Neill

24 papers receiving 2.2k citations

Hit Papers

Single phosphorylation sites in Acc1 and Acc2 regulate li...6712013202620172021200400600

Peers

Hayley M. O’Neill
Comparison fields: 5 of 110
  • Physiology 917
  • Geriatrics and Gerontology 118
  • Molecular Biology 1.4k
  • Endocrinology, Diabetes and Metabolism 324
  • Rehabilitation 107
Replace Yun Chau Long with:
Yun Chau Long Singapore
Katarina Marcinko Canada
Brian T. O’Neill United States
Dorothy H. Slentz United States
James Lally Canada
Sung Sik Choe South Korea
Wenyan Niu China
Meghan Kelly United States
Jianhua Shao United States
Dana Galuska Sweden
Hayley M. O’Neill relative to Yun Chau Long Singapore Yun Chau Long's profile →
Citations per field
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Yun Chau Long · 1×
Citations per year

Countries citing papers authored by Hayley M. O’Neill

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Hayley M. O’Neill Line = papers co-authored together Hayley M. O’Neill links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202510
2 20251
3 20244
4 20249
5 20231
6 202017
7 201969
8 201528
9 201518
10
Can an Aerobic Exercise Program Influence Sedentary Behavior and Moderate-Vigorous Physical Activity in Patients with Type 2 Diabetes?
20151
11 2014115
12 201424
13 201420
14 201332
15
Single phosphorylation sites in Acc1 and Acc2 regulate lipid homeostasis and the insulin-sensitizing effects of metforminbreakdown →
2013671
16 201315
17 2012288
18 2011333
19 2010138
20 200939

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.

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