Scott Nolan
Impact in
- Physiology top 10%
- Adenosine and Purinergic Signaling
- Alzheimer's disease research and treatments
- Pain Mechanisms and Treatments
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- Neuropeptides and Animal Physiology
Papers in
-
- DNA and Nucleic Acid Chemistry 3
- Advanced biosensing and bioanalysis techniques 2
- Receptor Mechanisms and Signaling 2
- RNA and protein synthesis mechanisms 2
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- Cholinesterase and Neurodegenerative Diseases 5
- Co-authors
- Anne M. Baranger (2 shared papers)J. C. Shiels (1 shared paper)Mark Niosi (1 shared paper)Gang Wu (1 shared paper)Gary Lee (1 shared paper)Victor I. Ilyin (1 shared paper)Garth T. Whiteside (1 shared paper)Michelle Pearson (1 shared paper)
- Journals
- Alzheimer s & Dementia (3 papers)Journal of the American Chemical Society (2 papers)Journal of Medicinal Chemistry (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Tetrahedron Letters (1 paper)
- Partner nations
- United StatesCanadaBelgium
In The Last Decade
Scott Nolan
15 papers receiving 294 citations
Peers
Comparison fields: 5 of 70
- Physiology 47
- Cellular and Molecular Neuroscience 58
- Sensory Systems 14
- Physiology 70
- Endocrine and Autonomic Systems 17
Countries citing papers authored by Scott Nolan
This map shows the geographic impact of Scott 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 Scott Nolan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Nolan more than expected).
Fields of papers citing papers by Scott Nolan
This network shows the impact of papers produced by Scott 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 Scott Nolan. The network helps show where Scott Nolan may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Nolan, 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 | 2004 | 64 | |
| 2 | 1999 | 57 | |
| 3 | 2004 | 42 | |
| 4 | 2017 | 24 | |
| 5 | 2016 | 16 | |
| 6 | 2004 | 15 | |
| 7 | 1996 | 14 | |
| 8 | 1993 | 14 | |
| 9 | 2000 | 13 | |
| 10 | 1999 | 13 | |
| 11 | 2014 | 11 | |
| 12 | 2021 | 8 | |
| 13 | 2016 | 6 | |
| 14 | 2010 | 4 | |
| 15 | 2010 | 4 | |
| 16 | 2009 | 1 |
About Scott Nolan
Scott Nolan is a scholar working on Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience, Computational Theory and Mathematics and Physiology, having authored 16 papers that have together received 306 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (5 papers), Alzheimer's disease research and treatments (4 papers), Computational Drug Discovery Methods (4 papers), DNA and Nucleic Acid Chemistry (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Neuropeptides and Animal Physiology (2 papers), Receptor Mechanisms and Signaling (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Physiology (47 citations), Cellular and Molecular Neuroscience (58 citations), Sensory Systems (14 citations), Physiology (70 citations) and Endocrine and Autonomic Systems (17 citations). Scott Nolan has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Anne M. Baranger, J. C. Shiels, Mark Niosi, Gang Wu, Gary Lee, Victor I. Ilyin, Garth T. Whiteside, Michelle Pearson, Ashis K. Basu and Kenneth J. Valenzano. Their work appears in journals such as Alzheimer s & Dementia, Journal of the American Chemical Society, Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and Tetrahedron Letters.
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.