K. Tricker
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
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- Cancer Genomics and Diagnostics
Papers in
- Oncology 8
- Cancer-related Molecular Pathways 8
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- Hedgehog Signaling Pathway Studies 5
- DNA Repair Mechanisms 1
- Epigenetics and DNA Methylation 1
- Co-authors
- D. Gareth Evans (6 shared papers)Mary Thorncroft (6 shared papers)Jillian M. Birch (6 shared papers)Gail McGown (6 shared papers)Anna Kelsey (3 shared papers)J M Varley (4 shared papers)Mauro Santibanez‐Koref (1 shared paper)Deborah Symmons (3 shared papers)
- Journals
- British Journal of Cancer (3 papers)Oncogene (2 papers)Health Technology Assessment (1 paper)Lara D. Veeken (1 paper)Annals of the Rheumatic Diseases (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
K. Tricker
13 papers receiving 717 citations
Peers
Comparison fields: 5 of 61
- Oncology 337
- Cancer Research 104
- Rheumatology 85
- Pathology and Forensic Medicine 82
- Biotechnology 40
Countries citing papers authored by K. Tricker
This map shows the geographic impact of K. Tricker'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 K. Tricker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Tricker more than expected).
Fields of papers citing papers by K. Tricker
This network shows the impact of papers produced by K. Tricker. 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 K. Tricker. The network helps show where K. Tricker may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Tricker, 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 | Germ-line mutations of TP53 in Li-Fraumeni families: an extended study of 39 families. | 1997 | 207 |
| 2 | 2005 | 106 | |
| 3 | 2007 | 92 | |
| 4 | 1997 | 85 | |
| 5 | 1995 | 61 | |
| 6 | 1998 | 44 | |
| 7 | 1998 | 40 | |
| 8 | 2005 | 39 | |
| 9 | 1994 | 38 | |
| 10 | 1998 | 17 | |
| 11 | 1996 | 11 | |
| 12 | 2006 | 10 | |
| 13 | Pharmacogenetic testing for azathioprine in the NHS: current uptake and implications for prescribing practice | 2006 | 1 |
About K. Tricker
K. Tricker is a scholar working on Oncology, Molecular Biology, Cancer Research, Rheumatology and Pediatrics, Perinatology and Child Health, having authored 13 papers that have together received 751 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (8 papers), Hedgehog Signaling Pathway Studies (5 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Cancer Genomics and Diagnostics (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), DNA Repair Mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Oncology (337 citations), Cancer Research (104 citations), Rheumatology (85 citations), Pathology and Forensic Medicine (82 citations) and Biotechnology (40 citations). K. Tricker has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include D. Gareth Evans, Mary Thorncroft, Jillian M. Birch, Gail McGown, Anna Kelsey, J M Varley, Mauro Santibanez‐Koref, Deborah Symmons, P. T. Dawes and Linda Davies. Their work appears in journals such as British Journal of Cancer, Oncogene, Health Technology Assessment, Lara D. Veeken and Annals of the Rheumatic Diseases.
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.