Amy M. Sawyer

2.4k total citations · 1 hit paper
52 papers, 1.7k citations indexed

About

Amy M. Sawyer is a scholar working on Physiology, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Amy M. Sawyer has authored 52 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Physiology, 24 papers in Endocrine and Autonomic Systems and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Amy M. Sawyer's work include Obstructive Sleep Apnea Research (31 papers), Neuroscience of respiration and sleep (23 papers) and Sleep and related disorders (15 papers). Amy M. Sawyer is often cited by papers focused on Obstructive Sleep Apnea Research (31 papers), Neuroscience of respiration and sleep (23 papers) and Sleep and related disorders (15 papers). Amy M. Sawyer collaborates with scholars based in United States, United Kingdom and Australia. Amy M. Sawyer's co-authors include Terri E. Weaver, Kathy C. Richards, Nalaka S. Gooneratne, Carole L. Marcus, Samuel T. Kuna, Tonya S. King, Douglas M. Wallace, Hyun‐Ju Yang, Jeffrey S. Wefel and Christina A. Meyers and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and CHEST Journal.

In The Last Decade

Amy M. Sawyer

48 papers receiving 1.6k citations

Hit Papers

A systematic review of CPAP adherence across age groups: ... 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy M. Sawyer United States 18 1.3k 982 570 452 326 52 1.7k
Ignacio E. Tapia United States 20 611 0.5× 566 0.6× 438 0.8× 213 0.5× 164 0.5× 82 1.1k
Nigel McArdle Australia 28 2.2k 1.7× 1.7k 1.7× 1.0k 1.8× 632 1.4× 612 1.9× 67 2.9k
Ching Li Chai‐Coetzer Australia 24 1.4k 1.1× 945 1.0× 544 1.0× 695 1.5× 454 1.4× 68 1.8k
Sunil Sharma United States 20 526 0.4× 337 0.3× 371 0.7× 242 0.5× 124 0.4× 68 1.0k
TJ Lasserson United Kingdom 17 1.5k 1.1× 778 0.8× 1.2k 2.2× 176 0.4× 212 0.7× 21 2.1k
Neomi Shah United States 19 933 0.7× 693 0.7× 388 0.7× 682 1.5× 341 1.0× 65 1.7k
Susan Redline United States 10 1.3k 1.0× 923 0.9× 398 0.7× 729 1.6× 469 1.4× 12 1.7k
James Douglas Australia 15 461 0.4× 256 0.3× 301 0.5× 430 1.0× 268 0.8× 32 1.0k
Takaya Nakamura Japan 16 929 0.7× 611 0.6× 329 0.6× 307 0.7× 285 0.9× 32 1.3k
Chamara V. Senaratna Sri Lanka 13 1.9k 1.5× 1.3k 1.3× 732 1.3× 475 1.1× 382 1.2× 36 2.3k

Countries citing papers authored by Amy M. Sawyer

Since Specialization
Citations

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

Fields of papers citing papers by Amy M. Sawyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy M. Sawyer. 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 Amy M. Sawyer. The network helps show where Amy M. Sawyer may publish in the future.

Co-authorship network of co-authors of Amy M. Sawyer

This figure shows the co-authorship network connecting the top 25 collaborators of Amy M. Sawyer. A scholar is included among the top collaborators of Amy M. Sawyer 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 Amy M. Sawyer. Amy M. Sawyer 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.
Mazzotti, Diego R., Jaejin An, Brendan T Keenan, et al.. (2025). Positive airway pressure therapy and cardiovascular events in obstructive sleep apnoea: an observational clinical cohort study. Sleep Medicine. 139. 108732–108732.
2.
Hwang, Dennis, John B. Jemmott, Ilene M. Rosen, et al.. (2024). 0537 Enhancing PAP Adherence in Black and Hispanic Patients Utilizing an Automated Telemonitoring Intervention. SLEEP. 47(Supplement_1). A230–A230. 1 indexed citations
3.
Kwon, Misol, et al.. (2024). Social determinants of health at multiple socio-ecological levels and sleep health in adolescents: A scoping review. Sleep Medicine Reviews. 78. 102008–102008. 7 indexed citations
4.
Kuna, Samuel T., et al.. (2023). Chronic pain is common and worsens daytime sleepiness, insomnia, and quality of life in veterans with obstructive sleep apnea. Journal of Clinical Sleep Medicine. 19(6). 1121–1132. 3 indexed citations
5.
Sawyer, Amy M., et al.. (2022). Case-based, asynchronous sleep education outcomes among primary care nurse practitioner students. Journal of Clinical Sleep Medicine. 18(10). 2367–2376. 5 indexed citations
6.
Trout, Kimberly K., et al.. (2021). Sleep and hypoglycaemia symptom perception in adults with type‐1 diabetes mellitus: A mixed‐methods review. Journal of Advanced Nursing. 78(1). 14–25. 1 indexed citations
7.
Hwang, Dennis, et al.. (2021). Personalized and Patient-Centered Strategies to Improve Positive Airway Pressure Adherence in Patients with Obstructive Sleep Apnea. Patient Preference and Adherence. Volume 15. 1557–1570. 12 indexed citations
8.
Polomano, Rosemary C., et al.. (2020). The influence of sleep disturbances and sleep disorders on pain outcomes among veterans: A systematic scoping review. Sleep Medicine Reviews. 56. 101411–101411. 29 indexed citations
9.
Wohlgemuth, William K., et al.. (2020). Socioeconomic Disparities in Positive Airway Pressure Adherence. Sleep Medicine Clinics. 16(1). 23–41. 4 indexed citations
10.
Wallace, Douglas M., Amy M. Sawyer, & Shirin Shafazand. (2018). Comorbid insomnia symptoms predict lower 6-month adherence to CPAP in US veterans with obstructive sleep apnea. Sleep And Breathing. 22(1). 5–15. 46 indexed citations
11.
Yang, Hyun‐Ju, et al.. (2018). Coping Processes, Self-Efficacy, and CPAP Use in Adults With Obstructive Sleep Apnea. Behavioral Sleep Medicine. 18(1). 68–80. 12 indexed citations
13.
Kang, Yuncheol, Amy M. Sawyer, Paul M. Griffin, & Vittaldas V. Prabhu. (2015). Modelling adherence behaviour for the treatment of obstructive sleep apnoea. European Journal of Operational Research. 249(3). 1005–1013. 6 indexed citations
14.
Sawyer, Amy M., et al.. (2014). Is Inconsistent Pre‐Treatment Bedtime Related to CPAP Non‐Adherence?. Research in Nursing & Health. 37(6). 504–511. 14 indexed citations
15.
Sawyer, Amy M., et al.. (2011). A systematic review of CPAP adherence across age groups: Clinical and empiric insights for developing CPAP adherence interventions. Sleep Medicine Reviews. 15(6). 343–356. 612 indexed citations breakdown →
16.
Sawyer, Amy M.. (2010). The Home Environment And Its Impact on Literacy Development. Fisher Digital Publications (St. John Fisher College). 1 indexed citations
17.
Weaver, Terri E. & Amy M. Sawyer. (2009). Management of Obstructive Sleep Apnea by Continuous Positive Airway Pressure. Oral and Maxillofacial Surgery Clinics of North America. 21(4). 403–412. 22 indexed citations
18.
Gillett, D.J., et al.. (2006). Laryngeal tuberculosis: not the usual suspect. British Journal of Hospital Medicine. 67(4). 212–213.
19.
Sawyer, Amy M., Terri E. Weaver, Anne Canamucio, et al.. (2006). P395A A prospective cohort study examining race as a predictor of adherence to continuous positive airway pressure therapy in obstructive sleep apnea. Sleep Medicine. 7. S86–S86. 4 indexed citations
20.
Altschuler, Jenny, et al.. (1999). Practice issues in relation to race, ethnicity and culture in family therapy training. Bristol Research (University of Bristol). 44. 13–24. 2 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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