C. Watt
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Neurobiology and Insect Physiology Research
- Physiology top 5%
- Pain Mechanisms and Treatments
Papers in ⓘ
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- Neuropeptides and Animal Physiology 7
- Neuroscience and Neuropharmacology Research 3
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- Pain Mechanisms and Treatments 8
- Co-authors
- Andrew J. Todd (7 shared papers)R.C. Spike (6 shared papers)Werner Sieghart (1 shared paper)Safa Shehab (3 shared papers)Zita Puskár (3 shared papers)David I. Graham (4 shared papers)W. L. Maxwell (4 shared papers)Thomas A. Gennarelli (3 shared papers)
- Journals
- Neuroscience (4 papers)Journal of Neuroscience (4 papers)Acta Neuropathologica (3 papers)European Journal of Neuroscience (2 papers)Human Pathology (1 paper)
- Partner nations
- United KingdomHungaryUnited States
In The Last Decade
C. Watt
16 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 74
- Cellular and Molecular Neuroscience 866
- Physiology 742
- Equine 27
- Neurology 200
- Developmental Neuroscience 45
Countries citing papers authored by C. Watt
This map shows the geographic impact of C. Watt'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 C. Watt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Watt more than expected).
Fields of papers citing papers by C. Watt
This network shows the impact of papers produced by C. Watt. 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 C. Watt. The network helps show where C. Watt may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Watt, 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 | 1996 | 319 | |
| 2 | 2002 | 168 | |
| 3 | 1995 | 134 | |
| 4 | 1993 | 121 | |
| 5 | 1997 | 110 | |
| 6 | 1999 | 82 | |
| 7 | 1997 | 80 | |
| 8 | 1996 | 70 | |
| 9 | 2002 | 55 | |
| 10 | 1992 | 35 | |
| 11 | 1986 | 34 | |
| 12 | 1992 | 24 | |
| 13 | 2002 | 21 | |
| 14 | 2009 | 19 | |
| 15 | 1991 | 9 | |
| 16 | 2011 | 1 |
About C. Watt
C. Watt is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Neurology and Epidemiology, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (8 papers), Neuropeptides and Animal Physiology (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Receptor Mechanisms and Signaling (4 papers), Ion channel regulation and function (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Traumatic Brain Injury Research (3 papers) and Automotive and Human Injury Biomechanics (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (866 citations), Physiology (742 citations), Equine (27 citations), Neurology (200 citations) and Developmental Neuroscience (45 citations). C. Watt has collaborated with scholars based in United Kingdom, Hungary and United States. Frequent co-authors include Andrew J. Todd, R.C. Spike, Werner Sieghart, Safa Shehab, Zita Puskár, David I. Graham, W. L. Maxwell, Thomas A. Gennarelli, Erika Polgár and Lisa J. Forrest. Their work appears in journals such as Neuroscience, Journal of Neuroscience, Acta Neuropathologica, European Journal of Neuroscience and Human Pathology.
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.