Joan Aylor

1.9k citations
10 papers · 1.4k indexed · 1 hit paper · h-index 8

Joan Aylor

10 papers receiving 1.4k citations

Hit Papers

Risk Factors for Sleep-disordered Breathing in Children: ...8801999202620082017250500750

Peers

Joan Aylor
Comparison fields: 5 of 83
  • Endocrine and Autonomic Systems 880
  • Physiology 1.1k
  • Experimental and Cognitive Psychology 262
  • Pulmonary and Respiratory Medicine 531
  • Cognitive Neuroscience 214
Replace Janita Lutz with:
Janita Lutz United States
Daniel K. Ng China
David G. McSharry United States
Nele Vandenbussche Netherlands
Pilar M. Urschitz‐Duprat Germany
Jose Augusto Taddei Brazil
Hiren Muzumdar United States
Mihaela Teodorescu United States
Walter S. von Pechmann United States
Adel Bachour Finland
Joan Aylor relative to Janita Lutz United States Janita Lutz's profile →
Citations per field
00.5×1.5×1.9×
Janita Lutz · 1×
Citations per year

Countries citing papers authored by Joan Aylor

Since Specialization
Citations

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

Fields of papers citing papers by Joan Aylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan Aylor. 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 Joan Aylor. The network helps show where Joan Aylor may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Joan Aylor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joan Aylor Line = papers co-authored together Joan Aylor links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 202116
2 20191
3 2012128
4 20102
5 2004110
6 2001155
7 200117
8 200174
9
Risk Factors for Sleep-disordered Breathing in Children: Associations with Obesity, Race, and Respiratory Problemsbreakdown →
1999880
10 198019

About Joan Aylor

Joan Aylor is a scholar working on Endocrine and Autonomic Systems, Physiology, Experimental and Cognitive Psychology, Pulmonary and Respiratory Medicine and Animal Science and Zoology, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (8 papers), Neuroscience of respiration and sleep (4 papers), Sleep and related disorders (3 papers), Cardiovascular and Diving-Related Complications (3 papers), Cardiovascular Syncope and Autonomic Disorders (1 paper), Animal Nutrition and Physiology (1 paper), Pesticide Residue Analysis and Safety (1 paper) and Sleep and Wakefulness Research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (880 citations), Physiology (1.1k citations), Experimental and Cognitive Psychology (262 citations), Pulmonary and Respiratory Medicine (531 citations) and Cognitive Neuroscience (214 citations). Joan Aylor has collaborated with scholars based in United States. Frequent co-authors include Susan Redline, Peter V. Tishler, Gregory Graham, Mark Schluchter, Emma K. Larkin, Banu Çakırer, Mark G. Hans, Michael Faulx, Brian D. Hoit and Reena Mehra. Their work appears in journals such as SLEEP, American Journal of Respiratory and Critical Care Medicine, Biology of Reproduction, JAMA Otolaryngology–Head & Neck Surgery and American Journal of Hypertension.

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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