J.F.R. Robertson
- Cancer Research top 2%
- Breast Cancer Treatment Studies 19
- Oncology top 2%
- Cancer Treatment and Pharmacology 15
- HER2/EGFR in Cancer Research 15
- Global Cancer Incidence and Screening 6
- Genetics top 2%
- Estrogen and related hormone effects 21
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- Breast Lesions and Carcinomas 11
- Dermatology top 5%
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- Advanced Breast Cancer Therapies 11
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- R.W. BlameyIan O. EllisAnthony HowellRobert I. NicholsonD.J. DeFriendP. WaltonS PinderKwok‐Leung Cheung
- Cited by
- Cancer ResearchOncologyGenetics
- Journals
- The Breast (15 papers)Journal of Clinical Oncology (9 papers)European Journal of Cancer (8 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
J.F.R. Robertson
63 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 100
- Cancer Research 652
- Oncology 1.1k
- Genetics 823
- Pathology and Forensic Medicine 289
- Dermatology 133
Countries citing papers authored by J.F.R. Robertson
This map shows the geographic impact of J.F.R. Robertson'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 J.F.R. Robertson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.F.R. Robertson more than expected).
Fields of papers citing papers by J.F.R. Robertson
This network shows the impact of papers produced by J.F.R. Robertson. 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 J.F.R. Robertson. The network helps show where J.F.R. Robertson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J.F.R. Robertson, 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 | 2016 | 9 | |
| 2 | 2007 | 24 | |
| 3 | 2006 | 123 | |
| 4 | 2004 | 38 | |
| 5 | 2004 | 60 | |
| 6 | 2001 | 17 | |
| 7 | 2001 | 65 | |
| 8 | 2000 | 16 | |
| 9 | C-erbB2 expression predicts response to preoperative chemotherapy for locally advanced breast cancer. | 1999 | 25 |
| 10 | 1997 | 58 | |
| 11 | The clinical relevance of static disease category for 6 months on endocrine therapy in patients with breast cancer | 1996 | 6 |
| 12 | 1996 | 159 | |
| 13 | 1996 | 114 | |
| 14 | 1995 | 130 | |
| 15 | 1995 | 138 | |
| 16 | 1995 | 2 | |
| 17 | 1995 | 283 | |
| 18 | 1994 | 18 | |
| 19 | 1990 | 48 | |
| 20 | 1989 | 32 |
About J.F.R. Robertson
J.F.R. Robertson is a scholar working on Oncology, Cancer Research and Genetics, having authored 65 papers that have together received 2.0k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (21 papers), Breast Cancer Treatment Studies (19 papers), Cancer Treatment and Pharmacology (15 papers), HER2/EGFR in Cancer Research (15 papers), Advanced Breast Cancer Therapies (11 papers), Breast Lesions and Carcinomas (11 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Global Cancer Incidence and Screening (6 papers). The work is most often cited by research in Cancer Research (652 citations), Oncology (1.1k citations) and Genetics (823 citations). J.F.R. Robertson has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include R.W. Blamey, Ian O. Ellis, Anthony Howell, Robert I. Nicholson, D.J. DeFriend, P. Walton, S Pinder, R.W. Blamey, Kwok‐Leung Cheung and D.M. Sibbering. Their work appears in journals such as The Breast, Journal of Clinical Oncology, European Journal of Cancer, Cancer Research and Breast Cancer Research and Treatment.
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.