P. Cannon
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cytokine Signaling Pathways and Interactions
- Cancer Cells and Metastasis
- Cancer Treatment and Pharmacology
-
- Breast Cancer Treatment Studies
Papers in
- Co-authors
- Ian O. Ellis (7 shared papers)Robert I. Nicholson (4 shared papers)J.F.R. Robertson (3 shared papers)Julia M.W. Gee (3 shared papers)David L. Manning (3 shared papers)R.W. Blamey (5 shared papers)Roger W. Blamey (1 shared paper)Richard A. McClelland (1 shared paper)
- Journals
- Breast Cancer Research and Treatment (2 papers)European Journal of Cancer (1 paper)Human Pathology (1 paper)The International Journal of Biological Markers (1 paper)The Breast (1 paper)
- Partner nations
- United KingdomAustralia
In The Last Decade
P. Cannon
10 papers receiving 482 citations
Peers
Comparison fields: 5 of 65
- Oncology 294
- Cancer Research 123
- Genetics 183
- Nutrition and Dietetics 48
- Molecular Biology 181
Countries citing papers authored by P. Cannon
This map shows the geographic impact of P. Cannon'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 P. Cannon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Cannon more than expected).
Fields of papers citing papers by P. Cannon
This network shows the impact of papers produced by P. Cannon. 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 P. Cannon. The network helps show where P. Cannon may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Cannon, 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 | 1994 | 158 | |
| 2 | 1995 | 152 | |
| 3 | 1994 | 84 | |
| 4 | Transforming growth factor-alpha and endocrine sensitivity in breast cancer. | 1994 | 57 |
| 5 | 1996 | 20 | |
| 6 | 2006 | 10 | |
| 7 | Expression of tumour-associated antigens in breast cancer primary tissue compared with serum levels. | 1993 | 7 |
| 8 | 1972 | 6 | |
| 9 | Surgery versus tamoxifen in selected elderly patients with operable breast cancer Early results of a randomised trial | 1992 | 1 |
| 10 | 1992 | 1 |
About P. Cannon
P. Cannon is a scholar working on Oncology, Genetics, Cancer Research, Molecular Biology and Surgery, having authored 10 papers that have together received 496 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Breast Cancer Treatment Studies (4 papers), HER2/EGFR in Cancer Research (3 papers), Spine and Intervertebral Disc Pathology (1 paper), Cancer Treatment and Pharmacology (1 paper), Musculoskeletal pain and rehabilitation (1 paper), TGF-β signaling in diseases (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Oncology (294 citations), Cancer Research (123 citations), Genetics (183 citations), Nutrition and Dietetics (48 citations) and Molecular Biology (181 citations). P. Cannon has collaborated with scholars based in United Kingdom and Australia. Frequent co-authors include Ian O. Ellis, Robert I. Nicholson, J.F.R. Robertson, Julia M.W. Gee, David L. Manning, R.W. Blamey, Roger W. Blamey, Richard A. McClelland, Joshua A. Bell and R A McClelland. Their work appears in journals such as Breast Cancer Research and Treatment, European Journal of Cancer, Human Pathology, The International Journal of Biological Markers and The Breast.
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.