R.E. Hubbard
Impact in
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- Olfactory and Sensory Function Studies
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- Photoreceptor and optogenetics research
- Neuropeptides and Animal Physiology
Papers in
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- Protein Structure and Dynamics 4
- Glycosylation and Glycoproteins Research 3
- Receptor Mechanisms and Signaling 3
- Metabolism, Diabetes, and Cancer 2
- Co-authors
- Pawel Herzyk (3 shared papers)Ashley C. W. Pike (3 shared papers)Eric H. Kong (1 shared paper)Guy G Dodson (2 shared papers)Urszula Derewenda (1 shared paper)Zygmunt S. Derewenda (1 shared paper)Manuel C. Peitsch (1 shared paper)Chris Garratt (1 shared paper)
- Journals
- Biochemical Society Transactions (3 papers)European Polymer Journal (1 paper)British Medical Bulletin (1 paper)Biochimie (1 paper)Biochimica et Biophysica Acta (BBA) - Biomembranes (1 paper)
- Partner nations
- United KingdomSwedenDenmark
In The Last Decade
R.E. Hubbard
12 papers receiving 321 citations
Peers
Comparison fields: 5 of 77
- Sensory Systems 23
- Cellular and Molecular Neuroscience 87
- Molecular Biology 212
- Genetics 63
- Nutrition and Dietetics 32
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 | 88 | |
| 2 | 1989 | 75 | |
| 3 | 2003 | 66 | |
| 4 | Automated modelling of the transmembrane region of G-protein coupled receptor by Swiss-model. | 1996 | 32 |
| 5 | 1998 | 19 | |
| 6 | 1980 | 15 | |
| 7 | 1993 | 13 | |
| 8 | 1993 | 13 | |
| 9 | 1990 | 12 | |
| 10 | 2000 | 7 | |
| 11 | 1993 | 7 | |
| 12 | 2000 | 3 | |
| 13 | 1992 | 0 | |
| 14 | 1993 | 0 |
About R.E. Hubbard
R.E. Hubbard is a scholar working on Molecular Biology, Nutrition and Dietetics, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging and Surfaces, Coatings and Films, having authored 14 papers that have together received 350 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Glycosylation and Glycoproteins Research (3 papers), Receptor Mechanisms and Signaling (3 papers), Estrogen and related hormone effects (2 papers), Computational Drug Discovery Methods (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Sensory Systems (23 citations), Cellular and Molecular Neuroscience (87 citations), Molecular Biology (212 citations), Genetics (63 citations) and Nutrition and Dietetics (32 citations). R.E. Hubbard has collaborated with scholars based in United Kingdom, Sweden and Denmark. Frequent co-authors include Pawel Herzyk, Ashley C. W. Pike, Eric H. Kong, Guy G Dodson, Urszula Derewenda, Zygmunt S. Derewenda, Manuel C. Peitsch, Chris Garratt, Timothy N. C. Wells and Mohammad Afshar Ghoochani. Their work appears in journals such as Biochemical Society Transactions, European Polymer Journal, British Medical Bulletin, Biochimie and Biochimica et Biophysica Acta (BBA) - Biomembranes.
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.