Jane M. Bradbury
- Molecular Biology
- Cell Biology top 5%
- Oncology
- Ecology, Evolution, Behavior and Systematics top 10%
- Biomedical Engineering
- Co-authors
- Paul A. EdwardsJulian D. GrossM. J. PeaceyRobert R. KayAdrian TsangChristina C. NiemeyerStephen P. JacksonTrevor Dale
- Topics
- Virus-based gene therapy research (3 papers)Cancer Cells and Metastasis (3 papers)Cancer-related Molecular Pathways (3 papers)
- Cited by
- Cell BiologyAgingMolecular Biology
- Partner nations
- United Kingdom
In The Last Decade
Jane M. Bradbury
18 papers receiving 652 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 444
- Cell Biology 267
- Oncology 134
- Ecology, Evolution, Behavior and Systematics 93
- Biomedical Engineering 77
Countries citing papers authored by Jane M. Bradbury
This map shows the geographic impact of Jane M. Bradbury'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 Jane M. Bradbury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane M. Bradbury more than expected).
Fields of papers citing papers by Jane M. Bradbury
This network shows the impact of papers produced by Jane M. Bradbury. 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 Jane M. Bradbury. The network helps show where Jane M. Bradbury may publish in the future.
Co-authorship network of co-authors of Jane M. Bradbury
This figure shows the co-authorship network connecting the top 25 collaborators of Jane M. Bradbury. A scholar is included among the top collaborators of Jane M. Bradbury 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 Jane M. Bradbury. Jane M. Bradbury is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 35 | |
| 3 | 29 | |
| 4 | 92 | |
| 5 | Alterations of the growth characteristics of the fibroblast cell line C3H 10T1/2 by members of the Wnt gene family. | 38 |
| 6 | Induction of epithelial abnormalities that resemble human breast lesions by the expression of the neu/erbB-2 oncogene in reconstituted mouse mammary gland. | 19 |
| 7 | Hyperplasia of mouse mammary epithelium induced by expression of the Wnt-1 (int-1) oncogene in reconstituted mammary gland. | 48 |
| 8 | 8 | |
| 9 | 30 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 27 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 21 | |
| 16 | 24 | |
| 17 | 197 | |
| 18 | 70 |
About Jane M. Bradbury
Jane M. Bradbury is a scholar working on Oncology, Genetics and Cancer Research, having authored 18 papers that have together received 680 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Cancer Cells and Metastasis (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Cell Biology (267 citations), Aging (13 citations) and Molecular Biology (444 citations). Jane M. Bradbury has collaborated with scholars based in United Kingdom. Frequent co-authors include Paul A. Edwards, Julian D. Gross, M. J. Peacey, Robert R. Kay, Adrian Tsang, Christina C. Niemeyer, Stephen P. Jackson, Trevor Dale, R. J. Thompson and Richard J. Thompson. Their work appears in journals such as Nature, Current Biology 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.