Peter V. Taberner
Impact in
-
- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Biochemistry top 10%
Papers in
-
- Neuroscience and Neuropharmacology Research 29
- Neurotransmitter Receptor Influence on Behavior 7
-
- Metabolomics and Mass Spectrometry Studies 8
- Co-authors
- Mei‐Fen Shih (8 shared papers)G.A. Kerkut (8 shared papers)J.T. Rick (9 shared papers)R. Kerwin (1 shared paper)C Pycock (2 shared papers)John Collinge (1 shared paper)Martin Pearce (3 shared papers)Jeffrey C. Watkins (1 shared paper)
- Journals
- Biochemical Pharmacology (11 papers)European Journal of Pharmacology (5 papers)Journal of Neurochemistry (5 papers)Neuropharmacology (4 papers)Psychopharmacology (4 papers)
- Partner nations
- United KingdomTaiwanSpain
In The Last Decade
Peter V. Taberner
69 papers receiving 821 citations
Peers
Comparison fields: 5 of 97
- Cellular and Molecular Neuroscience 430
- Biochemistry 81
- Toxicology 35
- Endocrine and Autonomic Systems 56
- Physiology 201
Countries citing papers authored by Peter V. Taberner
This map shows the geographic impact of Peter V. Taberner'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 Peter V. Taberner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter V. Taberner more than expected).
Fields of papers citing papers by Peter V. Taberner
This network shows the impact of papers produced by Peter V. Taberner. 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 Peter V. Taberner. The network helps show where Peter V. Taberner may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter V. Taberner, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1983 | 50 | |
| 2 | 1981 | 47 | |
| 3 | 1976 | 46 | |
| 4 | 1980 | 38 | |
| 5 | 1972 | 32 | |
| 6 | 1977 | 31 | |
| 7 | 1995 | 31 | |
| 8 | 1980 | 29 | |
| 9 | 1991 | 27 | |
| 10 | 1992 | 27 | |
| 11 | 1978 | 25 | |
| 12 | 1973 | 22 | |
| 13 | 1974 | 22 | |
| 14 | 1972 | 21 | |
| 15 | 1980 | 21 | |
| 16 | 1998 | 20 | |
| 17 | 1975 | 20 | |
| 18 | 1980 | 19 | |
| 19 | 1989 | 18 | |
| 20 | 1975 | 18 |
About Peter V. Taberner
Peter V. Taberner is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Pharmacology and Plant Science, having authored 74 papers that have together received 902 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (29 papers), Adipose Tissue and Metabolism (12 papers), Metabolomics and Mass Spectrometry Studies (8 papers), GABA and Rice Research (7 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Diet and metabolism studies (7 papers), Biochemical effects in animals (6 papers) and Alcohol Consumption and Health Effects (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (430 citations), Biochemistry (81 citations), Toxicology (35 citations), Endocrine and Autonomic Systems (56 citations) and Physiology (201 citations). Peter V. Taberner has collaborated with scholars based in United Kingdom, Taiwan and Spain. Frequent co-authors include Mei‐Fen Shih, G.A. Kerkut, J.T. Rick, R. Kerwin, C Pycock, John Collinge, Martin Pearce, Jeffrey C. Watkins, Roger Yates and Miles D. Houslay. Their work appears in journals such as Biochemical Pharmacology, European Journal of Pharmacology, Journal of Neurochemistry, Neuropharmacology and Psychopharmacology.
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.