J.F.R. Robertson
- Oncology top 2%
- Genetics top 2%
- Cancer Research top 2%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- R.W. BlameyIan O. EllisAnthony HowellRobert I. NicholsonD.J. DeFriendP. WaltonS PinderKwok‐Leung Cheung
- Topics
- Estrogen and related hormone effects (21 papers)Breast Cancer Treatment Studies (19 papers)Cancer Treatment and Pharmacology (15 papers)
- Cited by
- Cancer ResearchOncologyGenetics
- 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
- Oncology 1.1k
- Genetics 823
- Cancer Research 652
- Molecular Biology 531
- Pulmonary and Respiratory Medicine 407
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 of co-authors of J.F.R. Robertson
This figure shows the co-authorship network connecting the top 25 collaborators of J.F.R. Robertson. A scholar is included among the top collaborators of J.F.R. Robertson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J.F.R. Robertson. J.F.R. Robertson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 24 | |
| 3 | 123 | |
| 4 | 38 | |
| 5 | 60 | |
| 6 | 17 | |
| 7 | 65 | |
| 8 | 16 | |
| 9 | C-erbB2 expression predicts response to preoperative chemotherapy for locally advanced breast cancer. | 25 |
| 10 | 58 | |
| 11 | The clinical relevance of static disease category for 6 months on endocrine therapy in patients with breast cancer | 6 |
| 12 | 159 | |
| 13 | 114 | |
| 14 | 130 | |
| 15 | 138 | |
| 16 | 2 | |
| 17 | 283 | |
| 18 | 18 | |
| 19 | 48 | |
| 20 | 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) and Cancer Treatment and Pharmacology (15 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 Lancet, Journal of Clinical Oncology and Cancer Research.
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.