David N. O’Neal

7.2k total citations · 1 hit paper
172 papers, 3.1k citations indexed

About

David N. O’Neal is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, David N. O’Neal has authored 172 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Endocrinology, Diabetes and Metabolism, 71 papers in Surgery and 58 papers in Genetics. Recurrent topics in David N. O’Neal's work include Diabetes Management and Research (119 papers), Pancreatic function and diabetes (61 papers) and Diabetes and associated disorders (55 papers). David N. O’Neal is often cited by papers focused on Diabetes Management and Research (119 papers), Pancreatic function and diabetes (61 papers) and Diabetes and associated disorders (55 papers). David N. O’Neal collaborates with scholars based in Australia, United States and United Kingdom. David N. O’Neal's co-authors include Alicia J. Jenkins, James D. Best, Andrzej S. Januszewski, Trevor A. Mori, Lawrence J. Beilin, Valerie Burke, Ian B. Puddey, Gerald F. Watts, Kylie McLachlan and Glenn M. Ward and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

David N. O’Neal

148 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Complications of Diabetes and Metrics of Glycemic Management Derived From Continuous Glucose Monitoring

2022 140 citations Steven James, David N. O’Neal et al. The Journal of Clinical Endocrinology & Metabolism profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David N. O’Neal Australia	26	1.8k	979	734	403	378	172	3.1k
Ester Vitacolonna Italy	28	777 0.4×	604 0.6×	279 0.4×	184 0.5×	367 1.0×	78	3.0k
M. Loredana Marcovecchio Italy	34	1.6k 0.9×	531 0.5×	716 1.0×	201 0.5×	721 1.9×	120	3.7k
A H Barnett United Kingdom	32	2.0k 1.1×	877 0.9×	1.1k 1.5×	238 0.6×	576 1.5×	110	4.2k
Peter Winocour United Kingdom	29	1.3k 0.7×	693 0.7×	245 0.3×	153 0.4×	309 0.8×	118	3.2k
Juming Lu China	24	2.1k 1.2×	711 0.7×	342 0.5×	188 0.5×	492 1.3×	94	4.3k
Lena M. Thorn Finland	33	1.7k 1.0×	498 0.5×	620 0.8×	245 0.6×	380 1.0×	87	3.6k
Markku Saraheimo Finland	33	1.8k 1.0×	594 0.6×	660 0.9×	248 0.6×	389 1.0×	63	3.6k
Maria Svensson Sweden	33	1.6k 0.9×	919 0.9×	451 0.6×	107 0.3×	817 2.2×	114	3.8k
Eric S. Kilpatrick United Kingdom	37	2.8k 1.6×	727 0.7×	848 1.2×	205 0.5×	427 1.1×	109	4.6k
Soo Heon Kwak South Korea	33	1.4k 0.8×	898 0.9×	532 0.7×	188 0.5×	634 1.7×	135	4.2k

Countries citing papers authored by David N. O’Neal

Since Specialization

Citations

This map shows the geographic impact of David N. O’Neal'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 David N. O’Neal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David N. O’Neal more than expected).

Fields of papers citing papers by David N. O’Neal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David N. O’Neal. 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 David N. O’Neal. The network helps show where David N. O’Neal may publish in the future.

Co-authorship network of co-authors of David N. O’Neal

This figure shows the co-authorship network connecting the top 25 collaborators of David N. O’Neal. A scholar is included among the top collaborators of David N. O’Neal 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 David N. O’Neal. David N. O’Neal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

O’Neal, David N., et al.. (2025). Time in range—A new gold standard in type 2 diabetes research?. Diabetes Obesity and Metabolism. 27(5). 2342–2362.

Kowalski, Greg M., Clinton R. Bruce, David N. O’Neal, et al.. (2025). The Glycemic Impact of Protein Ingestion in People With Type 1 Diabetes. Diabetes Care. 48(4). 509–518.

O’Neal, David N., et al.. (2024). Outcomes associated with a variable rate insulin infusion diabetic ketoacidosis protocol. Journal of Diabetes and its Complications. 38(3). 108702–108702. 2 indexed citations

Morrison, Dale, et al.. (2024). Continuous ketone monitoring: Exciting implications for clinical practice. Diabetes Obesity and Metabolism. 26(S7). 47–58. 18 indexed citations

Grosman, Benyamin, Alicia J. Jenkins, Hannah M. Jones, et al.. (2024). Improved Satisfaction While Maintaining Safety and High Time in Range (TIR) With a Medtronic Investigational Enhanced Advanced Hybrid Closed-Loop (e-AHCL) System. Diabetes Care. 47(4). 747–755. 4 indexed citations

Kiburg, Katerina, et al.. (2024). Treatment Satisfaction With Omnipod DASH in Adults With Type 1 Diabetes: A Nonblinded 1:1 Randomized Controlled Trial. The Journal of Clinical Endocrinology & Metabolism. 109(8). 1984–1995.

Bruce, Clinton R., Jean Liu, Glenn M. Ward, et al.. (2024). The Effect of Small Increases in Blood Glucose on Insulin Secretion and Endogenous Glucose Production in Humans. Diabetes. 74(6). 898–906. 1 indexed citations

Lee, Melissa H., Varuni Obeyesekere, Barbora Paldus, et al.. (2024). Hybrid Closed Loop in Adults With Type 1 Diabetes and Severely Impaired Hypoglycemia Awareness. Journal of Diabetes Science and Technology. 19(6). 1578–1590. 5 indexed citations

Kiburg, Katerina, et al.. (2023). A pilot randomised controlled parallel arm trial evaluating treatment satisfaction with the Omnipod DASH® Insulin Management System compared with usual care in adults with type 1 diabetes in Australia: rationale, study design and methodologies. Pilot and Feasibility Studies. 9(1). 171–171. 2 indexed citations

10.

Trawley, Steven, Peter G. Colman, Melissa H. Lee, et al.. (2023). What difference does sleep make? Continuous glucose monitoring metrics during fixed‐overnight time versus sleep periods among older adults with type 1 diabetes. Journal of Sleep Research. 33(4). 1 indexed citations

11.

Hendrieckx, Christel, Jennifer A. Halliday, Benjamin Lam, et al.. (2023). The diabetes management experiences questionnaire: Psychometric validation among adults with type 1 diabetes. Diabetic Medicine. 41(3). e15195–e15195.

12.

Morrison, Dale, Barbora Paldus, Dessi P. Zaharieva, et al.. (2022). Late Afternoon Vigorous Exercise Increases Postmeal but Not Overnight Hypoglycemia in Adults with Type 1 Diabetes Managed with Automated Insulin Delivery. Diabetes Technology & Therapeutics. 24(12). 873–880. 13 indexed citations

13.

Daskalaki, Elena, Anne Parkinson, Md Zakir Hossain, et al.. (2022). The Potential of Current Noninvasive Wearable Technology for the Monitoring of Physiological Signals in the Management of Type 1 Diabetes: Literature Survey. Journal of Medical Internet Research. 24(4). e28901–e28901. 14 indexed citations

14.

Chakrabarti, Anindita, Steven Trawley, Sara Vogrin, et al.. (2022). Closed-Loop Insulin Delivery Effects on Glycemia During Sleep and Sleep Quality in Older Adults with Type 1 Diabetes: Results from the ORACL Trial. Diabetes Technology & Therapeutics. 24(9). 666–671. 14 indexed citations

15.

Hua, Xinyang, Leonid Churilov, Steven James, et al.. (2022). A systematic review: Cost‐effectiveness of continuous glucose monitoring compared to self‐monitoring of blood glucose in type 1 diabetes. Endocrinology Diabetes & Metabolism. 5(6). e369–e369. 23 indexed citations

16.

Paldus, Barbora, Dale Morrison, Dessi P. Zaharieva, et al.. (2021). A Randomized Crossover Trial Comparing Glucose Control During Moderate-Intensity, High-Intensity, and Resistance Exercise With Hybrid Closed-Loop Insulin Delivery While Profiling Potential Additional Signals in Adults With Type 1 Diabetes. Diabetes Care. 45(1). 194–203. 31 indexed citations

17.

McAuley, Sybil A., Steven Trawley, Sara Vogrin, et al.. (2021). Closed-Loop Insulin Delivery Versus Sensor-Augmented Pump Therapy in Older Adults With Type 1 Diabetes (ORACL): A Randomized, Crossover Trial. Diabetes Care. 45(2). 381–390. 57 indexed citations

18.

Vogrin, Sara, Barbora Paldus, Lu Ju, et al.. (2020). MISSED AND LATE MEAL BOLUSES WITH FASTER ACTING INSULIN ASPART (FIASP) VS INSULIN ASPART USING THE MEDTRONIC ADVANCED HYBRID CLOSED LOOP SYSTEM. Diabetes Technology & Therapeutics. 22.

19.

Hendrieckx, Christel, Jennifer A. Halliday, Neale Cohen, et al.. (2020). Adults With Diabetes Distress Often Want to Talk With Their Health Professionals About It: Findings From an Audit of 4 Australian Specialist Diabetes Clinics. Canadian Journal of Diabetes. 44(6). 473–480. 23 indexed citations

20.

Lee, Melissa H., et al.. (2019). The Clinical Case for the Integration of a Ketone Sensor as Part of a Closed Loop Insulin Pump System. Journal of Diabetes Science and Technology. 13(5). 967–973. 16 indexed citations

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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