Philip Nolan

2.3k citations
66 papers · 1.8k indexed · h-index 22

Impact in

Papers in

Philip Nolan

63 papers receiving 1.8k citations

Peers

Philip Nolan
Comparison fields: 5 of 124
  • Endocrine and Autonomic Systems 923
  • Cognitive Neuroscience 760
  • Physiology 989
  • Cardiology and Cardiovascular Medicine 273
  • Experimental and Cognitive Psychology 135
Replace Oscar Carrillo with:
Oscar Carrillo United States
Tetsuo Katsuura Japan
Emily J. Fox United States
Masayuki Miyamoto Japan
Junichi Sugenoya Japan
Soichi Ando Japan
Holger Lüdtke Germany
Guo‐She Lee Taiwan
Kyungmo Park South Korea
H. Monod France
Philip Nolan relative to Oscar Carrillo United States Oscar Carrillo's profile →
Citations per field
00.5×4.0×
Oscar Carrillo · 1×
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-authorship network

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
#Work
1 20250
2 201537
3 20072
4 200510
5 20050
6 200518
7 20041
8 2003352
9 200370
10 200127
11 2001129
12 200020
13 19973
14 19961
15 19967
16 199513
17 19943
18 19944
19 19945
20 199318

About Philip Nolan

Philip Nolan is a scholar working on Endocrine and Autonomic Systems, Physiology, Cognitive Neuroscience, Pharmacy and Anesthesiology and Pain Medicine, having authored 66 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (30 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), EEG and Brain-Computer Interfaces (5 papers), Respiratory Support and Mechanisms (4 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (923 citations), Cognitive Neuroscience (760 citations), Physiology (989 citations), Cardiology and Cardiovascular Medicine (273 citations) and Experimental and Cognitive Psychology (135 citations). Philip Nolan has collaborated with scholars based in Ireland, United States and Canada. Frequent co-authors include Mark O’Malley, Sandeep Sood, Richard L. Horner, 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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