C. K. W. Watts
- Oncology top 5%
- Molecular Biology
- Genetics top 5%
- Cancer Research top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- R. SutherlandAnna DeFazioElizabeth A. MusgroveJohn A. HamiltonMichael F. BuckleyKimberley J. E. SweeneyRobert I. NicholsonDavid L. Manning
- Topics
- Estrogen and related hormone effects (10 papers)Cancer-related Molecular Pathways (3 papers)Cytokine Signaling Pathways and Interactions (3 papers)
- Cited by
- OncologyCancer ResearchGenetics
- Journals
- Proceedings of the National Academy of SciencesBiochemical JournalJournal of Bone and Mineral Research
- Partner nations
- AustraliaUnited Kingdom
In The Last Decade
C. K. W. Watts
15 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Oncology 737
- Molecular Biology 650
- Genetics 354
- Cancer Research 212
- Endocrinology, Diabetes and Metabolism 173
Countries citing papers authored by C. K. W. Watts
This map shows the geographic impact of C. K. W. Watts'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 C. K. W. Watts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. K. W. Watts more than expected).
Fields of papers citing papers by C. K. W. Watts
This network shows the impact of papers produced by C. K. W. Watts. 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 C. K. W. Watts. The network helps show where C. K. W. Watts may publish in the future.
Co-authorship network of co-authors of C. K. W. Watts
This figure shows the co-authorship network connecting the top 25 collaborators of C. K. W. Watts. A scholar is included among the top collaborators of C. K. W. Watts 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 C. K. W. Watts. C. K. W. Watts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 181 | |
| 2 | 5 | |
| 3 | Antisense estrogen receptor RNA expression increases epidermal growth factor receptor gene expression in breast cancer cells. | 39 |
| 4 | 6 | |
| 5 | 15 | |
| 6 | 109 | |
| 7 | 8 | |
| 8 | 159 | |
| 9 | 27 | |
| 10 | 95 | |
| 11 | Expression and amplification of cyclin genes in human breast cancer.breakdown → | 583 |
| 12 | 23 | |
| 13 | 31 | |
| 14 | 19 | |
| 15 | Serum enzymes after therapeutic radiation. A study in patients with carcinoma of cervix uteri. | 2 |
About C. K. W. Watts
C. K. W. Watts is a scholar working on Genetics, Oncology and Molecular Biology, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (10 papers), Cancer-related Molecular Pathways (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Oncology (737 citations), Cancer Research (212 citations) and Genetics (354 citations). C. K. W. Watts has collaborated with scholars based in Australia and United Kingdom. Frequent co-authors include R. Sutherland, Anna DeFazio, Elizabeth A. Musgrove, John A. Hamilton, Michael F. Buckley, Kimberley J. E. Sweeney, Robert I. Nicholson, David L. Manning, M. Händel and Richard O. Day. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical Journal and Journal of Bone and Mineral 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.