John A. Trinder

1.2k total citations · 1 hit paper
15 papers, 962 citations indexed

About

John A. Trinder is a scholar working on Endocrine and Autonomic Systems, Physiology and Cognitive Neuroscience. According to data from OpenAlex, John A. Trinder has authored 15 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrine and Autonomic Systems, 11 papers in Physiology and 9 papers in Cognitive Neuroscience. Recurrent topics in John A. Trinder's work include Obstructive Sleep Apnea Research (11 papers), Neuroscience of respiration and sleep (11 papers) and Sleep and Wakefulness Research (9 papers). John A. Trinder is often cited by papers focused on Obstructive Sleep Apnea Research (11 papers), Neuroscience of respiration and sleep (11 papers) and Sleep and Wakefulness Research (9 papers). John A. Trinder collaborates with scholars based in Australia, United States and Ireland. John A. Trinder's co-authors include Nicholas B. Allen, Matthew Blake, David P. White, Julian P. Saboisky, Jane E. Butler, Simon C. Gandevia, Atul Malhotra, Christian L. Nicholas, Amy S. Jordan and Andrew Wellman and has published in prestigious journals such as The Journal of Physiology, American Journal of Respiratory and Critical Care Medicine and Journal of Neurophysiology.

In The Last Decade

John A. Trinder

15 papers receiving 946 citations

Hit Papers

Mechanisms underlying the association between insomnia, a... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John A. Trinder Australia 13 541 501 331 285 128 15 962
Mina Kobayashi Japan 16 240 0.4× 268 0.5× 330 1.0× 302 1.1× 81 0.6× 33 878
R. Neal Aguillard United States 18 499 0.9× 539 1.1× 930 2.8× 1.2k 4.2× 203 1.6× 20 1.7k
Terry M. Brown United States 10 566 1.0× 559 1.1× 607 1.8× 597 2.1× 223 1.7× 19 1.2k
Luciana Palombini United States 21 621 1.1× 750 1.5× 548 1.7× 541 1.9× 264 2.1× 36 1.2k
Alexander Sweetman Australia 21 345 0.6× 845 1.7× 772 2.3× 1.1k 3.7× 81 0.6× 67 1.3k
Sabin R. Bista United States 11 648 1.2× 818 1.6× 483 1.5× 334 1.2× 459 3.6× 19 1.4k
Tracy F. Kuo United States 9 454 0.8× 268 0.5× 658 2.0× 927 3.3× 49 0.4× 11 1.2k
Jana R. Cooke United States 9 356 0.7× 436 0.9× 568 1.7× 577 2.0× 76 0.6× 9 1.0k
Ling‐Ling Tsai Taiwan 15 160 0.3× 147 0.3× 364 1.1× 444 1.6× 144 1.1× 31 960
Theresa M. Buckley United States 10 299 0.6× 171 0.3× 292 0.9× 440 1.5× 25 0.2× 11 958

Countries citing papers authored by John A. Trinder

Since Specialization
Citations

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

Fields of papers citing papers by John A. Trinder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. Trinder. 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 John A. Trinder. The network helps show where John A. Trinder may publish in the future.

Co-authorship network of co-authors of John A. Trinder

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

All Works

15 of 15 papers shown
1.
Luu, Billy L., Julian P. Saboisky, Rachel A. McBain, et al.. (2019). Genioglossus motor unit activity in supine and upright postures in obstructive sleep apnea. SLEEP. 43(6). 13 indexed citations
2.
Blake, Matthew, John A. Trinder, & Nicholas B. Allen. (2018). Mechanisms underlying the association between insomnia, anxiety, and depression in adolescence: Implications for behavioral sleep interventions. Clinical Psychology Review. 63. 25–40. 308 indexed citations breakdown →
3.
Hicks, Amelia J., Jennifer M. Cori, Amy S. Jordan, et al.. (2017). Mechanisms of the deep, slow-wave, sleep-related increase of upper airway muscle tone in healthy humans. Journal of Applied Physiology. 122(5). 1304–1312. 13 indexed citations
4.
Ruehland, Warren R., Peter D. Rochford, Robert J. Pierce, et al.. (2016). Sensory detection of threshold intensity resistive loads in severe obstructive sleep apnoea. Respiratory Physiology & Neurobiology. 236. 29–41. 12 indexed citations
5.
Zambotti, Massimiliano de, Christian L. Nicholas, Ian M. Colrain, John A. Trinder, & Fiona C. Baker. (2013). Autonomic regulation across phases of the menstrual cycle and sleep stages in women with premenstrual syndrome and healthy controls. Psychoneuroendocrinology. 38(11). 2618–2627. 54 indexed citations
6.
Edwards, Bradley A., James G. Connolly, Lisa M. Campana, et al.. (2013). Acetazolamide Attenuates the Ventilatory Response to Arousal in Patients with Obstructive Sleep Apnea. SLEEP. 36(2). 281–285. 70 indexed citations
7.
Nisbet, Lauren C., Stephanie Yiallourou, Sarah N. Biggs, et al.. (2013). Preschool Children with Obstructive Sleep Apnea: The Beginnings of Elevated Blood Pressure?. SLEEP. 36(8). 1219–1226. 55 indexed citations
8.
Cori, Jennifer M., Christian L. Nicholas, Shaira Baptista, et al.. (2012). Inspiratory-resistive loading increases the ventilatory response to arousal but does not reduce genioglossus muscle activity on the return to sleep. Journal of Applied Physiology. 113(6). 909–916. 7 indexed citations
9.
Jordan, Amy S., Danny J. Eckert, Andrew Wellman, et al.. (2011). Termination of Respiratory Events with and without Cortical Arousal in Obstructive Sleep Apnea. American Journal of Respiratory and Critical Care Medicine. 184(10). 1183–1191. 67 indexed citations
10.
Saboisky, Julian P., Daniel W. Stashuk, Andrew Hamilton-Wright, et al.. (2011). Decomposition Based Quantitative Electromyography (dqemg) In The Examination Of Genioglossus Motor Unit Potentials. A3687–A3687. 2 indexed citations
11.
Yang, Joel S.C., Christian L. Nicholas, Gillian M. Nixon, et al.. (2010). Determining Sleep Quality in Children with Sleep Disordered Breathing: EEG Spectral Analysis Compared with Conventional Polysomnography. SLEEP. 33(9). 1165–1172. 40 indexed citations
12.
Saboisky, Julian P., Amy S. Jordan, Danny J. Eckert, et al.. (2010). Recruitment and rate-coding strategies of the human genioglossus muscle. Journal of Applied Physiology. 109(6). 1939–1949. 52 indexed citations
13.
Saboisky, Julian P., Jane E. Butler, David K. McKenzie, et al.. (2007). Neural drive to human genioglossus in obstructive sleep apnoea. The Journal of Physiology. 585(1). 135–146. 97 indexed citations
14.
Saboisky, Julian P., Jane E. Butler, Robert Fogel, et al.. (2005). Tonic and Phasic Respiratory Drives to Human Genioglossus Motoneurons During Breathing. Journal of Neurophysiology. 95(4). 2213–2221. 122 indexed citations
15.
Newman, Nicholas, et al.. (1989). Mechanism of the suddent infant death syndrome?. Journal of Paediatrics and Child Health. 25(4). 196–201. 50 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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