Philip I. Terrill

2.9k total citations · 1 hit paper
51 papers, 1.9k citations indexed

About

Philip I. Terrill is a scholar working on Physiology, Endocrine and Autonomic Systems and Cognitive Neuroscience. According to data from OpenAlex, Philip I. Terrill has authored 51 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Physiology, 33 papers in Endocrine and Autonomic Systems and 21 papers in Cognitive Neuroscience. Recurrent topics in Philip I. Terrill's work include Obstructive Sleep Apnea Research (34 papers), Neuroscience of respiration and sleep (33 papers) and Sleep and Wakefulness Research (18 papers). Philip I. Terrill is often cited by papers focused on Obstructive Sleep Apnea Research (34 papers), Neuroscience of respiration and sleep (33 papers) and Sleep and Wakefulness Research (18 papers). Philip I. Terrill collaborates with scholars based in Australia, United States and Finland. Philip I. Terrill's co-authors include Scott A. Sands, Andrew Wellman, David P. White, Bradley A. Edwards, Ali Azarbarzin, Luigi Taranto‐Montemurro, Susan Redline, Melania Marques, Ludovico Messineo and James P. Butler and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and CHEST Journal.

In The Last Decade

Philip I. Terrill

51 papers receiving 1.9k 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.

The hypoxic burden of sleep apnoea predicts cardiovascular disease-related mortality: the Osteoporotic Fractures in Men Study and the Sleep Heart Health Study

2018 461 citations Ali Azarbarzin, Scott A. Sands et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip I. Terrill Australia	19	1.5k	1.2k	644	610	399	51	1.9k
Denise M. O’Driscoll Australia	24	1.2k 0.8×	967 0.8×	464 0.7×	489 0.8×	454 1.1×	45	1.8k
Bethany Staley United States	22	1.5k 1.0×	1.0k 0.9×	594 0.9×	520 0.9×	602 1.5×	40	1.9k
Daniela Andries Switzerland	16	2.0k 1.4×	1.4k 1.1×	798 1.2×	701 1.1×	679 1.7×	28	2.6k
Madeleine Grigg‐Damberger United States	24	1.1k 0.7×	936 0.8×	1.4k 2.2×	413 0.7×	785 2.0×	56	2.6k
Daniel I. Loube United States	16	1.8k 1.2×	1.5k 1.2×	710 1.1×	736 1.2×	878 2.2×	26	2.5k
Susan Surovec United States	8	839 0.6×	627 0.5×	467 0.7×	338 0.6×	502 1.3×	9	1.4k
Margot J. Davey Australia	34	2.1k 1.4×	1.9k 1.6×	745 1.2×	1.1k 1.8×	621 1.6×	124	3.2k
Ali Azarbarzin United States	33	3.1k 2.1×	2.3k 1.9×	1.1k 1.7×	1.2k 1.9×	483 1.2×	144	3.5k
Douglas B. Kirsch United States	19	821 0.6×	645 0.5×	481 0.7×	319 0.5×	566 1.4×	38	1.4k
Pedro R. Genta Brazil	26	2.0k 1.4×	1.5k 1.2×	391 0.6×	938 1.5×	282 0.7×	80	2.4k

Countries citing papers authored by Philip I. Terrill

Since Specialization

Citations

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

Fields of papers citing papers by Philip I. Terrill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip I. Terrill. 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 Philip I. Terrill. The network helps show where Philip I. Terrill may publish in the future.

Co-authorship network of co-authors of Philip I. Terrill

This figure shows the co-authorship network connecting the top 25 collaborators of Philip I. Terrill. A scholar is included among the top collaborators of Philip I. Terrill 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 Philip I. Terrill. Philip I. Terrill 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

Terrill, Philip I., et al.. (2025). Sleep fragmentation and hypoxaemia as key indicators of cognitive impairment in patients with obstructive sleep apnoea. SHILAP Revista de lepidopterología. 9(1). 1 indexed citations

Kevat, Ajay, Sadasivam Suresh, Warren R. Ruehland, et al.. (2024). Evaluation of automated pediatric sleep stage classification using U-Sleep: a convolutional neural network. Journal of Clinical Sleep Medicine. 21(2). 277–285. 1 indexed citations

Mann, D, Timo Leppänen, Juha Töyräs, et al.. (2024). Increased flow limitation during sleep is associated with decreased psychomotor vigilance task performance in individuals with suspected obstructive sleep apnea: a multi-cohort study. SLEEP. 47(6). 1 indexed citations

Mann, D, Brett Duce, Samu Kainulainen, et al.. (2023). Increased Flow Limitation During Sleep Is Associated With Increased Psychomotor Vigilance Task Lapses in Individuals With Suspected OSA. CHEST Journal. 165(4). 990–1003. 3 indexed citations

Nikkonen, Sami, Henri Korkalainen, Samu Kainulainen, et al.. (2023). Multicentre sleep‐stage scoring agreement in the Sleep Revolution project. Journal of Sleep Research. 33(1). e13956–e13956. 19 indexed citations

Leppänen, Timo, Philip I. Terrill, Erna Sif Arnardóttir, et al.. (2023). Deep learning-based algorithm accurately classifies sleep stages in preadolescent children with sleep-disordered breathing symptoms and age-matched controls. Frontiers in Neurology. 14. 1162998–1162998. 6 indexed citations

Mann, D, Samu Kainulainen, Brett Duce, et al.. (2023). Nasal Pressure Derived Airflow Limitation and Ventilation Measurements are Resilient to Reduced Signal Quality. PubMed. 2023. 1–4. 1 indexed citations

Landry, Shane A., D Mann, Ludovico Messineo, et al.. (2020). Laboratory performance of oronasal CPAP and adapted snorkel masks to entrain oxygen and CPAP. Respirology. 25(12). 1309–1312. 7 indexed citations

Joosten, Simon A., Shane A. Landry, Ai‐Ming Wong, et al.. (2020). Assessing the Physiologic Endotypes Responsible for REM- and NREM-Based OSA. CHEST Journal. 159(5). 1998–2007. 52 indexed citations

10.

Mann, D, Philip I. Terrill, Ali Azarbarzin, et al.. (2019). Quantifying the magnitude of pharyngeal obstruction during sleep using airflow shape. European Respiratory Journal. 54(1). 1802262–1802262. 44 indexed citations

11.

Sands, Scott A., Bradley A. Edwards, Philip I. Terrill, et al.. (2018). Phenotyping Pharyngeal Pathophysiology using Polysomnography in Patients with Obstructive Sleep Apnea. American Journal of Respiratory and Critical Care Medicine. 197(9). 1187–1197. 173 indexed citations

12.

Mann, D, Ali Azarbarzin, Sara Mariani, et al.. (2018). Quantifying the Severity of Pharyngeal Airflow Obstruction Using Polysomnography. American Journal of Respiratory and Critical Care Medicine. 197. 1 indexed citations

13.

Edwards, Bradley A., Philip I. Terrill, Scott A. Sands, et al.. (2018). Quantifying ventilatory control stability from spontaneous sigh responses during sleep: a comparison of two approaches. Physiological Measurement. 39(11). 114005–114005. 5 indexed citations

14.

Joosten, Simon A., Paul Leong, Shane A. Landry, et al.. (2017). Loop Gain Predicts the Response to Upper Airway Surgery in Patients With Obstructive Sleep Apnea. SLEEP. 40(7). 98 indexed citations

15.

Mann, D, Bradley A. Edwards, Simon A. Joosten, et al.. (2017). The relationship between partial upper-airway obstruction and inter-breath transition period during sleep. Respiratory Physiology & Neurobiology. 244. 32–40. 1 indexed citations

16.

Bradley, Andrew P., et al.. (2015). Temporal associations between arousal and body/limb movement in children with suspected obstructed sleep apnoea. Physiological Measurement. 37(1). 115–127. 2 indexed citations

17.

Terrill, Philip I., et al.. (2014). Nocturnal oxygen saturation profiles of healthy term infants. Archives of Disease in Childhood. 100(1). 18–23. 19 indexed citations

18.

Terrill, Philip I., Stephen J. Wilson, Sadasivam Suresh, David M. L. Cooper, & Carolyn Dakin. (2012). Application of recurrence quantification analysis to automatically estimate infant sleep states using a single channel of respiratory data. Medical & Biological Engineering & Computing. 50(8). 851–865. 25 indexed citations

19.

Terrill, Philip I., D. G. Mason, & Stephen J. Wilson. (2010). Development of a continuous multisite accelerometry system for studying movements during sleep. PubMed. 2010. 6150–6153. 14 indexed citations

20.

Terrill, Philip I., Stephen J. Wilson, Sadasivam Suresh, & David M. L. Cooper. (2009). Characterising infant inter-breath interval patterns during active and quiet sleep using recurrence plot analysis. PubMed. 2009. 6284–6287. 4 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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