I.W. Chubb
Impact in
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Photoreceptor and optogenetics research
- Pharmacology top 0.5%
- Cholinesterase and Neurodegenerative Diseases
Papers in
-
- Receptor Mechanisms and Signaling 16
- Nicotinic Acetylcholine Receptors Study 9
-
- Neuroscience and Neuropharmacology Research 17
- Neuropeptides and Animal Physiology 15
- Co-authors
- A.J. Hodgson (12 shared papers)Péter Somogyi (8 shared papers)A. David Smith (6 shared papers)G H White (2 shared papers)Botond Penke (2 shared papers)Anna Erdei (2 shared papers)T. J. Millar (11 shared papers)W.P. De Potter (6 shared papers)
- Journals
- Neuroscience (15 papers)Brain Research (7 papers)Journal of Neurochemistry (3 papers)Journal of Histochemistry & Cytochemistry (2 papers)Nature (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
I.W. Chubb
62 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 103
- Cellular and Molecular Neuroscience 2.1k
- Pharmacology 978
- Developmental Neuroscience 120
- Endocrine and Autonomic Systems 159
- Molecular Biology 1.7k
Countries citing papers authored by I.W. Chubb
This map shows the geographic impact of I.W. Chubb'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 I.W. Chubb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I.W. Chubb more than expected).
Fields of papers citing papers by I.W. Chubb
This network shows the impact of papers produced by I.W. Chubb. 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 I.W. Chubb. The network helps show where I.W. Chubb may publish in the future.
Co-authors
The 25 scholars most cited alongside I.W. Chubb, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 335 | |
| 2 | 1980 | 292 | |
| 3 | 1985 | 282 | |
| 4 | 1984 | 185 | |
| 5 | 1985 | 175 | |
| 6 | 1976 | 144 | |
| 7 | 1983 | 137 | |
| 8 | 1981 | 129 | |
| 9 | 1990 | 100 | |
| 10 | 1975 | 96 | |
| 11 | 1975 | 90 | |
| 12 | 1987 | 89 | |
| 13 | 1985 | 73 | |
| 14 | 1975 | 65 | |
| 15 | 1981 | 65 | |
| 16 | 1970 | 59 | |
| 17 | 1983 | 57 | |
| 18 | 1984 | 56 | |
| 19 | 1986 | 53 | |
| 20 | 1979 | 49 |
About I.W. Chubb
I.W. Chubb is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Physiology and Cell Biology, having authored 62 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (24 papers), Neuroscience and Neuropharmacology Research (17 papers), Receptor Mechanisms and Signaling (16 papers), Neuropeptides and Animal Physiology (15 papers), Nicotinic Acetylcholine Receptors Study (9 papers), Pesticide Exposure and Toxicity (6 papers), Cellular transport and secretion (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.1k citations), Pharmacology (978 citations), Developmental Neuroscience (120 citations), Endocrine and Autonomic Systems (159 citations) and Molecular Biology (1.7k citations). I.W. Chubb has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include A.J. Hodgson, Péter Somogyi, A. David Smith, G H White, Botond Penke, Anna Erdei, T. J. Millar, W.P. De Potter, Ian G. Morgan and Dimitra Beroukas. Their work appears in journals such as Neuroscience, Brain Research, Journal of Neurochemistry, Journal of Histochemistry & Cytochemistry and Nature.
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.