Christopher E. Cannon
Impact in
-
- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
Papers in
-
- Receptor Mechanisms and Signaling 6
- Nicotinic Acetylcholine Receptors Study 4
-
- Neuroscience and Neuropharmacology Research 4
- Neuropeptides and Animal Physiology 1
- Co-authors
- Jason M. Uslaner (7 shared papers)Scott D. Kuduk (3 shared papers)Donnie Eddins (4 shared papers)Henry S. Lange (2 shared papers)Joshua D. Vardigan (3 shared papers)Jeffrey A. Vivian (3 shared papers)John J. Renger (2 shared papers)Marion Wittmann (2 shared papers)
- Journals
- Psychopharmacology (4 papers)Neuropharmacology (3 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Neurotherapeutics (1 paper)Current Opinion in Cardiology (1 paper)
- Partner nations
- United StatesSingapore
In The Last Decade
Christopher E. Cannon
9 papers receiving 295 citations
Peers
Comparison fields: 5 of 46
- Cellular and Molecular Neuroscience 162
- Biological Psychiatry 12
- Pharmacology 78
- Molecular Biology 233
- Cognitive Neuroscience 37
Countries citing papers authored by Christopher E. Cannon
This map shows the geographic impact of Christopher E. Cannon'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 Christopher E. Cannon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher E. Cannon more than expected).
Fields of papers citing papers by Christopher E. Cannon
This network shows the impact of papers produced by Christopher E. Cannon. 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 Christopher E. Cannon. The network helps show where Christopher E. Cannon may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher E. Cannon, 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 | 2012 | 70 | |
| 2 | 2012 | 57 | |
| 3 | 2015 | 54 | |
| 4 | 2014 | 44 | |
| 5 | 2012 | 28 | |
| 6 | 2013 | 27 | |
| 7 | 2021 | 17 | |
| 8 | 1999 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 0 |
About Christopher E. Cannon
Christopher E. Cannon is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Cardiology and Cardiovascular Medicine and Clinical Psychology, having authored 10 papers that have together received 299 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Nicotinic Acetylcholine Receptors Study (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Psychedelics and Drug Studies (1 paper), Heart Failure Treatment and Management (1 paper), Forensic Toxicology and Drug Analysis (1 paper) and Neuropeptides and Animal Physiology (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (162 citations), Biological Psychiatry (12 citations), Pharmacology (78 citations), Molecular Biology (233 citations) and Cognitive Neuroscience (37 citations). Christopher E. Cannon has collaborated with scholars based in United States and Singapore. Frequent co-authors include Jason M. Uslaner, Scott D. Kuduk, Donnie Eddins, Henry S. Lange, Joshua D. Vardigan, Jeffrey A. Vivian, John J. Renger, Marion Wittmann, Izzat T. Raheem and Sean M. Smith. Their work appears in journals such as Psychopharmacology, Neuropharmacology, Journal of Pharmacology and Experimental Therapeutics, Neurotherapeutics and Current Opinion in Cardiology.
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.