R.E. Hubbard
Impact in
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- Photoreceptor and optogenetics research
- Neuropeptides and Animal Physiology
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- Olfactory and Sensory Function Studies
Papers in
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- Protein Structure and Dynamics 4
- Receptor Mechanisms and Signaling 3
- Metabolism, Diabetes, and Cancer 2
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- Computational Drug Discovery Methods 2
- Co-authors
- Pawel Herzyk (3 shared papers)A.C.W. Pike (3 shared papers)Eric H. Kong (1 shared paper)Guy Dodson (2 shared papers)Urszula Derewenda (1 shared paper)Zygmunt S. Derewenda (1 shared paper)Manuel C. Peitsch (1 shared paper)Timothy N. C. Wells (1 shared paper)
- Journals
- Biochemical Society Transactions (3 papers)Biochimie (1 paper)Biochimica et Biophysica Acta (BBA) - Biomembranes (1 paper)Acta Crystallographica Section B Structural Science (1 paper)Proteins Structure Function and Bioinformatics (1 paper)
- Partner nations
- United KingdomSwedenSwitzerland
In The Last Decade
R.E. Hubbard
12 papers receiving 309 citations
Peers
Comparison fields: 5 of 76
- Cellular and Molecular Neuroscience 87
- Sensory Systems 23
- Molecular Biology 199
- Genetics 62
- Nutrition and Dietetics 31
Countries citing papers authored by R.E. Hubbard
This map shows the geographic impact of R.E. Hubbard'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 R.E. Hubbard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.E. Hubbard more than expected).
Fields of papers citing papers by R.E. Hubbard
This network shows the impact of papers produced by R.E. Hubbard. 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 R.E. Hubbard. The network helps show where R.E. Hubbard may publish in the future.
Co-authors
The 25 scholars most cited alongside R.E. Hubbard, 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 | 1995 | 84 | |
| 2 | 1989 | 71 | |
| 3 | 2003 | 61 | |
| 4 | Automated modelling of the transmembrane region of G-protein coupled receptor by Swiss-model. | 1996 | 29 |
| 5 | 1998 | 19 | |
| 6 | 1993 | 13 | |
| 7 | 1990 | 12 | |
| 8 | 1993 | 12 | |
| 9 | 1980 | 11 | |
| 10 | 1993 | 6 | |
| 11 | 2000 | 6 | |
| 12 | 2000 | 2 |
About R.E. Hubbard
R.E. Hubbard is a scholar working on Molecular Biology, Computational Theory and Mathematics, Nutrition and Dietetics, Genetics and Materials Chemistry, having authored 12 papers that have together received 326 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Receptor Mechanisms and Signaling (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Computational Drug Discovery Methods (2 papers), Enzyme Structure and Function (2 papers), Estrogen and related hormone effects (2 papers), Pancreatic function and diabetes (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (87 citations), Sensory Systems (23 citations), Molecular Biology (199 citations), Genetics (62 citations) and Nutrition and Dietetics (31 citations). R.E. Hubbard has collaborated with scholars based in United Kingdom, Sweden and Switzerland. Frequent co-authors include Pawel Herzyk, A.C.W. Pike, Eric H. Kong, Guy Dodson, Urszula Derewenda, Zygmunt S. Derewenda, Manuel C. Peitsch, Timothy N. C. Wells, Chris Garratt and Mohammad Afshar. Their work appears in journals such as Biochemical Society Transactions, Biochimie, Biochimica et Biophysica Acta (BBA) - Biomembranes, Acta Crystallographica Section B Structural Science and Proteins Structure Function and Bioinformatics.
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.