Philip Nolan

63 papers receiving 1.8k citations

Peers

Philip Nolan
Comparison fields: 5 of 127
  • Endocrine and Autonomic Systems 847
  • Physiology 958
  • Cognitive Neuroscience 719
  • Cardiology and Cardiovascular Medicine 269
  • Pharmacy 44
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Erna Sif Arnardóttir Iceland
Andrew Vakulin Australia
Emily J. Fox United States
Oscar Carrillo United States
Toshinori Kobayashi Japan
Michelangelo Maestri Italy
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Junichi Sugenoya Japan
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Citations per field
00.5×6.3×
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Citations per year

Countries citing papers authored by Philip Nolan

Since Specialization
Citations

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

Fields of papers citing papers by Philip Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philip Nolan, 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 Philip Nolan Line = papers co-authored together Philip Nolan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003374
2
Intranasal corticosteroid therapy for obstructive sleep apnoea in patients with co-existing rhinitis.
2004173
3 2001145
4 200396
5 200286
6 200079
7 199678
8 200377
9 200260
10 200356
11
Higher Education Management and Policy
201156
12 200254
13 200240
14 201540
15 200837
16 199636
17 200330
18 200129
19 199025
20 200924

About Philip Nolan

Philip Nolan is a scholar working on Physiology, Endocrine and Autonomic Systems, Cognitive Neuroscience, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 66 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (29 papers), Obstructive Sleep Apnea Research (25 papers), Sleep and Wakefulness Research (12 papers), Heart Rate Variability and Autonomic Control (8 papers), ECG Monitoring and Analysis (7 papers), Respiratory Support and Mechanisms (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Non-Invasive Vital Sign Monitoring (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (847 citations), Physiology (958 citations), Cognitive Neuroscience (719 citations), Cardiology and Cardiovascular Medicine (269 citations) and Pharmacy (44 citations). Philip Nolan has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Mark O’Malley, Richard L. Horner, Sandeep Sood, Conor Heneghan, Philip de Chazal, Hattie Liu, Richard B. Reilly, W.T. McNicholas, Stephen J. Ryan and Madeleine M. Lowery. Their work appears in journals such as The Journal of Physiology, Journal of Applied Physiology, Advances in experimental medicine and biology, Respiratory Physiology & Neurobiology and Journal of Oral Rehabilitation.

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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