Lyle J. Palmer
- Physiology top 0.2%
- Asthma and respiratory diseases 65
- Obstructive Sleep Apnea Research 19
- Endocrine and Autonomic Systems top 0.5%
- Neuroscience of respiration and sleep 17
- Health Informatics top 0.5%
- Immunology and Allergy top 1%
- Pulmonary and Respiratory Medicine top 0.5%
- Respiratory and Cough-Related Research 17
- Chronic Obstructive Pulmonary Disease (COPD) Research 16
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- Genetic Associations and Epidemiology 45
- Genetic Mapping and Diversity in Plants and Animals 12
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- IL-33, ST2, and ILC Pathways 15
- Co-authors
- Lon R. CardonScott T. WeissPaul R. BurtonEdwin K. SilvermanAnthony JamesSutapa MukherjeePeter N. Le SouëfWilliam Cookson
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Lyle J. Palmer
249 papers receiving 12.2k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Physiology 4.6k
- Endocrine and Autonomic Systems 1.0k
- Health Informatics 192
- Immunology and Allergy 571
- Pulmonary and Respiratory Medicine 2.9k
Countries citing papers authored by Lyle J. Palmer
This map shows the geographic impact of Lyle J. Palmer'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 Lyle J. Palmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lyle J. Palmer more than expected).
Fields of papers citing papers by Lyle J. Palmer
This network shows the impact of papers produced by Lyle J. Palmer. 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 Lyle J. Palmer. The network helps show where Lyle J. Palmer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lyle J. Palmer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2022 | 8 | |
| 3 | 2020 | 28 | |
| 4 | A Bayesian data augmentation approach for learning deep models | 2017 | 57 |
| 5 | 2012 | 1 | |
| 6 | 2011 | 16 | |
| 7 | 2010 | 137 | |
| 8 | 2009 | 4 | |
| 9 | 2005 | 198 | |
| 10 | 2004 | 144 | |
| 11 | 2004 | 111 | |
| 12 | 2004 | 88 | |
| 13 | 2004 | 308 | |
| 14 | 2003 | 211 | |
| 15 | 2002 | 1 | |
| 16 | Pulmonary function at 4 weeks correlates with pulmonary function at 6 and 12 years | 2001 | 2 |
| 17 | 2001 | 10 | |
| 18 | 2001 | 154 | |
| 19 | 2000 | 88 | |
| 20 | 1998 | 78 |
About Lyle J. Palmer
Lyle J. Palmer is a scholar working on Physiology, Endocrine and Autonomic Systems and Genetics, having authored 266 papers that have together received 12.6k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (65 papers), Genetic Associations and Epidemiology (45 papers), Obstructive Sleep Apnea Research (19 papers), Respiratory and Cough-Related Research (17 papers), Neuroscience of respiration and sleep (17 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (16 papers), IL-33, ST2, and ILC Pathways (15 papers) and Genetic Mapping and Diversity in Plants and Animals (12 papers). The work is most often cited by research in Physiology (4.6k citations), Endocrine and Autonomic Systems (1.0k citations) and Health Informatics (192 citations). Lyle J. Palmer has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Lon R. Cardon, Scott T. Weiss, Paul R. Burton, Edwin K. Silverman, Anthony James, Sutapa Mukherjee, Peter N. Le Souëf, William Cookson, Eric S. Silverman and P. J. Rye.
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.