Aaron C. Pawlyk
Impact in
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- Circadian rhythm and melatonin
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
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- Protein Structure and Dynamics 4
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- Neuroscience and Neuropharmacology Research 7
- Co-authors
- Adrian R. Morrison (4 shared papers)Francis X. Brennan (4 shared papers)Richard Ross (4 shared papers)Shanaz M. Tejani‐Butt (6 shared papers)Deepak M. Sampathu (2 shared papers)Benoit I. Giasson (2 shared papers)Virginia M.‐Y. Lee (2 shared papers)John Q. Trojanowski (2 shared papers)
- Journals
- Neuroreport (2 papers)The Journal of Clinical Pharmacology (2 papers)Brain Research (2 papers)Biochemistry (2 papers)Biological Psychiatry (2 papers)
- Partner nations
- United StatesCanadaCzechia
In The Last Decade
Aaron C. Pawlyk
33 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 105
- Endocrine and Autonomic Systems 189
- Behavioral Neuroscience 95
- Aging 39
- Cognitive Neuroscience 305
- Neurology 196
Countries citing papers authored by Aaron C. Pawlyk
This map shows the geographic impact of Aaron C. Pawlyk'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 Aaron C. Pawlyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron C. Pawlyk more than expected).
Fields of papers citing papers by Aaron C. Pawlyk
This network shows the impact of papers produced by Aaron C. Pawlyk. 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 Aaron C. Pawlyk. The network helps show where Aaron C. Pawlyk may publish in the future.
Co-authors
The 25 scholars most cited alongside Aaron C. Pawlyk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 137 | |
| 2 | 2007 | 135 | |
| 3 | 2003 | 128 | |
| 4 | 2003 | 112 | |
| 5 | 2014 | 111 | |
| 6 | 2005 | 94 | |
| 7 | 2018 | 80 | |
| 8 | 2005 | 69 | |
| 9 | 1995 | 64 | |
| 10 | 2010 | 61 | |
| 11 | 2021 | 50 | |
| 12 | 2001 | 42 | |
| 13 | 2007 | 33 | |
| 14 | 1995 | 25 | |
| 15 | 2010 | 24 | |
| 16 | 2009 | 20 | |
| 17 | 2006 | 19 | |
| 18 | 2002 | 18 | |
| 19 | 1999 | 17 | |
| 20 | 2008 | 15 |
About Aaron C. Pawlyk
Aaron C. Pawlyk is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Genetics and Endocrine and Autonomic Systems, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Sleep and Wakefulness Research (7 papers), Circadian rhythm and melatonin (6 papers), Protein Structure and Dynamics (4 papers), Memory and Neural Mechanisms (4 papers), Enzyme Structure and Function (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (189 citations), Behavioral Neuroscience (95 citations), Aging (39 citations), Cognitive Neuroscience (305 citations) and Neurology (196 citations). Aaron C. Pawlyk has collaborated with scholars based in United States, Canada and Czechia. Frequent co-authors include Adrian R. Morrison, Francis X. Brennan, Richard Ross, Shanaz M. Tejani‐Butt, Deepak M. Sampathu, Benoit I. Giasson, Virginia M.‐Y. Lee, John Q. Trojanowski, Sushil K. Jha and Donald W. Pettigrew. Their work appears in journals such as Neuroreport, The Journal of Clinical Pharmacology, Brain Research, Biochemistry and Biological Psychiatry.
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.