Catherine M. Radcliffe
- Immunology top 2%
- Galectins and Cancer Biology 8
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- Monoclonal and Polyclonal Antibodies Research 13
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 23
- Porphyrin Metabolism and Disorders 2
- Spectroscopy top 2%
- Organic Chemistry top 5%
- Carbohydrate Chemistry and Synthesis 9
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- Coffee research and impacts 3
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- Tea Polyphenols and Effects 2
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- Mosquito-borne diseases and control 2
- Co-authors
- Pauline M. RuddRaymond A. DwekLouise RoyleDavid J. HarveyMatthew P. CampbellJames N. ArnoldLuisa Martı́nez-PomaresSiamon Gordon
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (3 papers)Bioinformatics (1 paper)
- Partner nations
- United KingdomIrelandUnited States
In The Last Decade
Catherine M. Radcliffe
31 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 114
- Immunology 964
- Radiology, Nuclear Medicine and Imaging 784
- Molecular Biology 2.2k
- Spectroscopy 441
- Organic Chemistry 647
Countries citing papers authored by Catherine M. Radcliffe
This map shows the geographic impact of Catherine M. Radcliffe'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 Catherine M. Radcliffe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine M. Radcliffe more than expected).
Fields of papers citing papers by Catherine M. Radcliffe
This network shows the impact of papers produced by Catherine M. Radcliffe. 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 Catherine M. Radcliffe. The network helps show where Catherine M. Radcliffe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Catherine M. Radcliffe, 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 | 2014 | 17 | |
| 2 | 2009 | 15 | |
| 3 | 2008 | 182 | |
| 4 | 2008 | 344 | |
| 5 | 2008 | 226 | |
| 6 | 2008 | 42 | |
| 7 | 2007 | 334 | |
| 8 | 2007 | 43 | |
| 9 | 2007 | 71 | |
| 10 | 2007 | 66 | |
| 11 | 2006 | 188 | |
| 12 | 2006 | 106 | |
| 13 | 2006 | 24 | |
| 14 | 2006 | 20 | |
| 15 | 2006 | 46 | |
| 16 | 2006 | 23 | |
| 17 | 2005 | 182 | |
| 18 | 2004 | 23 | |
| 19 | 2004 | 93 | |
| 20 | 2002 | 52 |
About Catherine M. Radcliffe
Catherine M. Radcliffe is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 31 papers that have together received 3.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (23 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Carbohydrate Chemistry and Synthesis (9 papers), Galectins and Cancer Biology (8 papers), Coffee research and impacts (3 papers), Porphyrin Metabolism and Disorders (2 papers), Tea Polyphenols and Effects (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Immunology (964 citations), Radiology, Nuclear Medicine and Imaging (784 citations) and Molecular Biology (2.2k citations). Catherine M. Radcliffe has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Pauline M. Rudd, Raymond A. Dwek, Louise Royle, David J. Harvey, Matthew P. Campbell, James N. Arnold, Luisa Martı́nez-Pomares, Siamon Gordon, Joanna L. Miller and Mark R. Wormald. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.