Greg Dean
Impact in
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- Neuropeptides and Animal Physiology
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- Viral Infectious Diseases and Gene Expression in Insects
- Receptor Mechanisms and Signaling
- Protein purification and stability
- CRISPR and Genetic Engineering
Papers in
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- Viral Infectious Diseases and Gene Expression in Insects 4
- Protein purification and stability 3
- Signaling Pathways in Disease 3
- Oncology 2
- Peptidase Inhibition and Analysis 1
- Co-authors
- Olalekan Daramola (4 shared papers)Ray Field (4 shared papers)Diane Hatton (2 shared papers)David C. James (3 shared papers)Leon P. Pybus (2 shared papers)Andrew Smith (2 shared papers)Gary Pettman (1 shared paper)Jessica Stevenson (1 shared paper)
- Journals
- Biotechnology Progress (2 papers)Journal of Biological Chemistry (2 papers)Annals of the New York Academy of Sciences (1 paper)Biotechnology and Bioengineering (1 paper)Molecular Pharmacology (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Greg Dean
8 papers receiving 385 citations
Peers
Comparison fields: 5 of 62
- Cellular and Molecular Neuroscience 127
- Molecular Biology 348
- Biotechnology 32
- Radiology, Nuclear Medicine and Imaging 71
- Genetics 65
Countries citing papers authored by Greg Dean
This map shows the geographic impact of Greg Dean'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 Greg Dean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Dean more than expected).
Fields of papers citing papers by Greg Dean
This network shows the impact of papers produced by Greg Dean. 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 Greg Dean. The network helps show where Greg Dean may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Dean, 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 | 129 | |
| 2 | 2013 | 101 | |
| 3 | 2013 | 90 | |
| 4 | 2000 | 31 | |
| 5 | 2020 | 22 | |
| 6 | 2013 | 21 | |
| 7 | 2000 | 6 | |
| 8 | 1999 | 5 |
About Greg Dean
Greg Dean is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 405 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (4 papers), Protein purification and stability (3 papers), Signaling Pathways in Disease (3 papers), Protease and Inhibitor Mechanisms (2 papers), Virus-based gene therapy research (2 papers), Galectins and Cancer Biology (1 paper), Peptidase Inhibition and Analysis (1 paper) and Blood Coagulation and Thrombosis Mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (127 citations), Molecular Biology (348 citations), Biotechnology (32 citations), Radiology, Nuclear Medicine and Imaging (71 citations) and Genetics (65 citations). Greg Dean has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Olalekan Daramola, Ray Field, Diane Hatton, David C. James, Leon P. Pybus, Andrew Smith, Gary Pettman, Jessica Stevenson, William E. Holmes and Andrew I. Brooks. Their work appears in journals such as Biotechnology Progress, Journal of Biological Chemistry, Annals of the New York Academy of Sciences, Biotechnology and Bioengineering and Molecular Pharmacology.
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.