Tim Dexter
Impact in
- Cancer Research top 5%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
Papers in
-
- Glycosylation and Glycoproteins Research 5
- Gene expression and cancer classification 5
- Genetics 14
- Estrogen and related hormone effects 5
- Virus-based gene therapy research 5
- Genomic variations and chromosomal abnormalities 3
- Co-authors
- Alan Mackay (15 shared papers)J. T. Gallagher (3 shared papers)C M Heyworth (3 shared papers)Kerry Fenwick (12 shared papers)Marjan Iravani (9 shared papers)Tariq Enver (1 shared paper)Chris Jones (8 shared papers)Alan Ashworth (7 shared papers)
- Journals
- British Journal of Cancer (4 papers)Blood (3 papers)Breast Cancer Research (3 papers)Clinical Cancer Research (3 papers)Biochemical Journal (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Tim Dexter
45 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 113
- Cancer Research 553
- Oncology 608
- Molecular Biology 1.2k
- Hematology 190
- Immunology 352
Countries citing papers authored by Tim Dexter
This map shows the geographic impact of Tim Dexter'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 Tim Dexter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Dexter more than expected).
Fields of papers citing papers by Tim Dexter
This network shows the impact of papers produced by Tim Dexter. 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 Tim Dexter. The network helps show where Tim Dexter may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Dexter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 229 | |
| 2 | 1979 | 222 | |
| 3 | 2004 | 207 | |
| 4 | 1998 | 175 | |
| 5 | 2005 | 171 | |
| 6 | 1976 | 164 | |
| 7 | 1985 | 147 | |
| 8 | 2008 | 139 | |
| 9 | 2003 | 135 | |
| 10 | 2011 | 102 | |
| 11 | 2007 | 101 | |
| 12 | 1983 | 81 | |
| 13 | 1977 | 70 | |
| 14 | 2006 | 61 | |
| 15 | 2009 | 53 | |
| 16 | 2006 | 51 | |
| 17 | 2006 | 47 | |
| 18 | 1996 | 38 | |
| 19 | 2009 | 34 | |
| 20 | 2006 | 29 |
About Tim Dexter
Tim Dexter is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Immunology, having authored 46 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Breast Cancer Treatment Studies (6 papers), Glycosylation and Glycoproteins Research (5 papers), Estrogen and related hormone effects (5 papers), Virus-based gene therapy research (5 papers), Gene expression and cancer classification (5 papers), Cancer Cells and Metastasis (4 papers) and Genomic variations and chromosomal abnormalities (3 papers). The work is most often cited by research in Cancer Research (553 citations), Oncology (608 citations), Molecular Biology (1.2k citations), Hematology (190 citations) and Immunology (352 citations). Tim Dexter has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Alan Mackay, J. T. Gallagher, C M Heyworth, Kerry Fenwick, Marjan Iravani, Tariq Enver, Chris Jones, Alan Ashworth, Andrew J. Morris and Jorge S. Reis‐Filho. Their work appears in journals such as British Journal of Cancer, Blood, Breast Cancer Research, Clinical Cancer Research and Biochemical Journal.
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.