David J. Berlowitz

4.5k total citations
132 papers, 2.8k citations indexed

About

David J. Berlowitz is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, David J. Berlowitz has authored 132 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Physiology, 39 papers in Pulmonary and Respiratory Medicine and 35 papers in Pathology and Forensic Medicine. Recurrent topics in David J. Berlowitz's work include Obstructive Sleep Apnea Research (41 papers), Spinal Cord Injury Research (35 papers) and Neuroscience of respiration and sleep (34 papers). David J. Berlowitz is often cited by papers focused on Obstructive Sleep Apnea Research (41 papers), Spinal Cord Injury Research (35 papers) and Neuroscience of respiration and sleep (34 papers). David J. Berlowitz collaborates with scholars based in Australia, Canada and United Kingdom. David J. Berlowitz's co-authors include Mark E. Howard, Jeanette Tamplin, Marnie Graco, Douglas J. Brown, Nicole Sheers, Wen Kwang Lim, Jack Ross, Natalie A. de Morton, Christine F. McDonald and Jennifer L. Keating and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Physiology.

In The Last Decade

David J. Berlowitz

125 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Berlowitz Australia 30 968 777 620 572 301 132 2.8k
Francesco Fanfulla Italy 30 1.8k 1.8× 1.1k 1.5× 702 1.1× 47 0.1× 179 0.6× 130 3.3k
W. Darlene Reid Canada 42 3.0k 3.1× 898 1.2× 221 0.4× 193 0.3× 224 0.7× 178 6.0k
Ann M. Spungen United States 42 564 0.6× 764 1.0× 394 0.6× 3.6k 6.4× 138 0.5× 173 6.3k
G. Scano Italy 32 2.8k 2.9× 1.2k 1.5× 383 0.6× 63 0.1× 112 0.4× 142 3.7k
Peter J. Wijkstra Netherlands 37 3.0k 3.1× 1.8k 2.4× 1.1k 1.8× 27 0.0× 161 0.5× 132 4.3k
Mathieu Raux France 31 749 0.8× 231 0.3× 440 0.7× 71 0.1× 134 0.4× 131 3.1k
M. Jeffery Mador United States 39 3.1k 3.2× 1.6k 2.0× 894 1.4× 39 0.1× 56 0.2× 94 4.5k
Joerg Steier United Kingdom 32 1.9k 1.9× 1.8k 2.4× 1.2k 2.0× 20 0.0× 123 0.4× 152 3.7k
Hsiao‐Yean Chiu Taiwan 20 262 0.3× 602 0.8× 434 0.7× 43 0.1× 77 0.3× 97 1.8k
Jeffrey T. Barth United States 37 326 0.3× 411 0.5× 278 0.4× 145 0.3× 3.5k 11.8× 103 6.9k

Countries citing papers authored by David J. Berlowitz

Since Specialization
Citations

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

Fields of papers citing papers by David J. Berlowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Berlowitz. 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 J. Berlowitz. The network helps show where David J. Berlowitz may publish in the future.

Co-authorship network of co-authors of David J. Berlowitz

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

All Works

20 of 20 papers shown
1.
Berney, Sue, et al.. (2025). Acceptability of a physiotherapy-led intensive prone positioning service in intensive care: A qualitative study with multidisciplinary clinicians. Australian Critical Care. 38(3). 101162–101162. 1 indexed citations
2.
Wang, Jinxi, Ling Luo, Uwe Aickelin, David J. Berlowitz, & Mark E. Howard. (2025). Breathing Cycle-Aware Segmentation for Patient-Ventilator Asynchrony Detection. IEEE Journal of Biomedical and Health Informatics. 29(12). 8655–8662.
3.
Graco, Marnie, et al.. (2025). Implementing rehabilitation-led management of obstructive sleep apnoea in a spinal cord injury rehabilitation centre: a mixed-methods evaluation. Disability and Rehabilitation. 48(6). 1793–1807. 1 indexed citations
5.
Duncan, Roderick, David J. Berlowitz, Saul A. Mullen, et al.. (2024). Breathing control training for functional seizures: A multi-site, open-label pilot study. Epilepsy & Behavior. 154. 109745–109745. 1 indexed citations
6.
Graco, Marnie, et al.. (2024). O051 Understanding the uptake of non-invasive ventilation in motor neurone disease: results of a national survey. SLEEP Advances. 5(Supplement_1). A18–A19.
8.
Sheers, Nicole, Liam M. Hannan, Linda Rautela, et al.. (2024). NIV@Home: a pilot randomized controlled trial of in-home noninvasive ventilation initiation compared to a single-day admission model. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 26(3-4). 239–248. 2 indexed citations
9.
10.
Connolly, Bronwen, et al.. (2021). Physical activity of patients with critical illness undergoing rehabilitation in intensive care and on the acute ward: An observational cohort study. Australian Critical Care. 35(4). 362–368. 5 indexed citations
11.
Jones, J., et al.. (2021). Repeated proning in non‐intubated patients with COVID‐19. Respirology. 26(3). 279–280. 2 indexed citations
12.
Chao, Caroline, et al.. (2021). Measuring Adherence to Long-Term Noninvasive Ventilation. Respiratory Care. 66(9). 1469–1476. 6 indexed citations
13.
Brinkhof, Martin W. G., David J. Berlowitz, Karin Postma, et al.. (2020). Respiratory function and respiratory complications in spinal cord injury: protocol for a prospective, multicentre cohort study in high-income countries. BMJ Open. 10(11). e038204–e038204. 6 indexed citations
14.
Chamberlain, J. D., et al.. (2020). Perceived sleep problems after spinal cord injury: Results from a community-based survey in Switzerland. Journal of Spinal Cord Medicine. 44(6). 910–919. 4 indexed citations
15.
Schembri, Rachel, Marnie Graco, Jo Spong, et al.. (2019). Apnoea and hypopnoea scoring for people with spinal cord injury: new thresholds for sleep disordered breathing diagnosis and severity classification. Spinal Cord. 57(5). 372–379. 3 indexed citations
16.
Tamplin, Jeanette, et al.. (2019). Development and feasibility testing of an online virtual reality platform for delivering therapeutic group singing interventions for people living with spinal cord injury. Journal of Telemedicine and Telecare. 26(6). 365–375. 39 indexed citations
17.
Schembri, Rachel, Jo Spong, Peter D. Rochford, et al.. (2017). Light sensors for objective light measurement in ambulatory polysomnography. PLoS ONE. 12(11). e0188124–e0188124. 6 indexed citations
18.
Wijesuriya, Nirupama, et al.. (2016). Day-To-Day Variability And Blunted Perception Of High Nasal Resistance In People With Tetraplegia And Obstructive Sleep Apnoea. American Journal of Respiratory and Critical Care Medicine. 193. 1 indexed citations
19.
Howard, Mark E., Amanda J. Piper, Bronwyn Stevens, et al.. (2016). A randomised controlled trial of CPAP versus non-invasive ventilation for initial treatment of obesity hypoventilation syndrome. Thorax. 72(5). 437–444. 83 indexed citations
20.
Berlowitz, David J., Linda Denehy, Jeffrey J. Pretto, et al.. (2010). A randomised trial of domiciliary, ambulatory oxygen in patients with COPD and dyspnoea but without resting hypoxaemia. Thorax. 66(1). 32–37. 85 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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