D. Gareth Rees

1.3k citations
16 papers · 495 · h-index 10

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 4
    • Protein purification and stability 2
    • Bacillus and Francisella bacterial research 2
    • Ubiquitin and proteasome pathways 2
    • Protein Degradation and Inhibitors 1
    • Monoclonal and Polyclonal Antibodies Research 6

D. Gareth Rees

16 papers receiving 482 citations

Peers

D. Gareth Rees
Comparison fields: 5 of 68
  • Immunology and Allergy 92
  • Dermatology 108
  • Small Animals 83
  • Parasitology 61
  • Cell Biology 62
Replace Hwee Kee Tay with:
Hwee Kee Tay Singapore
L Dudler Switzerland
Henning Seismann Germany
Caroline A. O’Leary Australia
T Yamashita Japan
Michaela Drögemüller Switzerland
D. D. Myers United States
Berenice Kindred Germany
Susan D’Costa United States
E. B. Jacobson United States
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Citations per field
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Citations per year

Countries citing papers authored by D. Gareth Rees

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with D. Gareth Rees Line = papers co-authored together D. Gareth Rees links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2016143
2 200994
3 199377
4 200646
5 200430
6 199529
7 202015
8
A non-phosphate-buffered physiological saline for in vitro electrophysiological studies on the mammalian neuromuscular junction [proceedings].
197814
9 201313
10 202411
11 20238
12
Skn antigens: identification of a 95-kilodalton protein in mouse neural tissue.
19934
13 20224
14 19943
15 20132
16 19952

About D. Gareth Rees

D. Gareth Rees is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics, Immunology and Infectious Diseases, 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), Protein Degradation and Inhibitors (1 paper), Neuroscience and Neural Engineering (1 paper) and Genetic and phenotypic traits in livestock (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, Bronwyn E. Campbell, Peter Hunt, Robin B. Gasser, Nathan J. Bott, Neil B. Chilton, Ian Beveridge, Bojana Popovic and Ralph Minter. 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.

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