D. Gareth Rees
- Immunology and Allergy top 5%
- Dermatology top 5%
- Small Animals top 5%
- Parasitology top 10%
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- Monoclonal and Polyclonal Antibodies Research 6
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- Glycosylation and Glycoproteins Research 4
- Protein purification and stability 2
- Bacillus and Francisella bacterial research 2
- Ubiquitin and proteasome pathways 2
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- SARS-CoV-2 and COVID-19 Research 1
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- Virus-based gene therapy research 1
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- Stroke Rehabilitation and Recovery 1
- Co-authors
- Kathleen A. MatthewsThomas C. KaufmanPeter HuntRobin B. GasserIan BeveridgeBronwyn E. CampbellNeil B. ChiltonNathan J. Bott
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
D. Gareth Rees
16 papers receiving 482 citations
Peers
Comparison fields: 5 of 68
- Immunology and Allergy 92
- Dermatology 108
- Small Animals 83
- Parasitology 61
- Cell Biology 62
Countries citing papers authored by D. Gareth Rees
This map shows the geographic impact of D. Gareth Rees'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 D. Gareth Rees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Gareth Rees more than expected).
Fields of papers citing papers by D. Gareth Rees
This network shows the impact of papers produced by D. Gareth Rees. 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 D. Gareth Rees. The network helps show where D. Gareth Rees may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. Gareth Rees, 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 | 2024 | 11 | |
| 2 | 2023 | 8 | |
| 3 | 2022 | 4 | |
| 4 | 2020 | 15 | |
| 5 | 2016 | 143 | |
| 6 | 2013 | 2 | |
| 7 | 2013 | 13 | |
| 8 | 2009 | 94 | |
| 9 | 2006 | 46 | |
| 10 | 2004 | 30 | |
| 11 | 1995 | 2 | |
| 12 | 1995 | 29 | |
| 13 | 1994 | 3 | |
| 14 | Skn antigens: identification of a 95-kilodalton protein in mouse neural tissue. | 1993 | 4 |
| 15 | 1993 | 77 | |
| 16 | A non-phosphate-buffered physiological saline for in vitro electrophysiological studies on the mammalian neuromuscular junction [proceedings]. | 1978 | 14 |
About D. Gareth Rees
D. Gareth Rees is a scholar working on Radiology, Nuclear Medicine and Imaging, Parasitology, Clinical Biochemistry, Rehabilitation and Molecular Biology, having authored 16 papers that have together received 495 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (4 papers), Protein purification and stability (2 papers), Bacillus and Francisella bacterial research (2 papers), Ubiquitin and proteasome pathways (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Virus-based gene therapy research (1 paper) and Stroke Rehabilitation and Recovery (1 paper). The work is most often cited by research in Immunology and Allergy (92 citations), Dermatology (108 citations), Small Animals (83 citations), Parasitology (61 citations) and Cell Biology (62 citations). D. Gareth Rees has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Kathleen A. Matthews, Thomas C. Kaufman, Peter Hunt, Robin B. Gasser, Ian Beveridge, Bronwyn E. Campbell, Neil B. Chilton, Nathan J. Bott, Ralph Minter and Bojana Popovic. Their work appears in journals such as Physiotherapy, Microbial Pathogenesis, Infection and Immunity, Nature Communications and Immunogenetics.
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.