Natasha Kyprianou
- Molecular Biology top 2%
- Pulmonary and Respiratory Medicine top 0.5%
- Oncology top 1%
- Cancer Research top 0.5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- John T. IsaacsHugh F. EnglishShinichi SakamotoCraig HorbinskiPatrick J. HensleyZheng CaoNancy E. DavidsonHong Pu
- Topics
- Prostate Cancer Treatment and Research (60 papers)Prostate Cancer Diagnosis and Treatment (19 papers)TGF-β signaling in diseases (16 papers)
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Natasha Kyprianou
132 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 3.9k
- Pulmonary and Respiratory Medicine 2.7k
- Oncology 2.0k
- Cancer Research 1.7k
- Endocrinology, Diabetes and Metabolism 719
Countries citing papers authored by Natasha Kyprianou
This map shows the geographic impact of Natasha Kyprianou'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 Natasha Kyprianou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natasha Kyprianou more than expected).
Fields of papers citing papers by Natasha Kyprianou
This network shows the impact of papers produced by Natasha Kyprianou. 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 Natasha Kyprianou. The network helps show where Natasha Kyprianou may publish in the future.
Co-authorship network of co-authors of Natasha Kyprianou
This figure shows the co-authorship network connecting the top 25 collaborators of Natasha Kyprianou. A scholar is included among the top collaborators of Natasha Kyprianou 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 Natasha Kyprianou. Natasha Kyprianou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Integrin-associated CD151 is a suppressor of prostate cancer progression. | 10 |
| 3 | 39 | |
| 4 | 9 | |
| 5 | 12 | |
| 6 | 73 | |
| 7 | 36 | |
| 8 | 83 | |
| 9 | 50 | |
| 10 | 86 | |
| 11 | 18 | |
| 12 | 174 | |
| 13 | 288 | |
| 14 | 78 | |
| 15 | 47 | |
| 16 | 18 | |
| 17 | 92 | |
| 18 | 56 | |
| 19 | 83 | |
| 20 | Collagen-induced morphogenesis and expression of the alpha 2-integrin subunit is inhibited in c-erbB2-transfected human mammary epithelial cells. | 64 |
About Natasha Kyprianou
Natasha Kyprianou is a scholar working on Immunology and Allergy, Pulmonary and Respiratory Medicine and Cancer Research, having authored 135 papers that have together received 7.5k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (60 papers), Prostate Cancer Diagnosis and Treatment (19 papers) and TGF-β signaling in diseases (16 papers). The work is most often cited by research in Cancer Research (1.7k citations), Pulmonary and Respiratory Medicine (2.7k citations) and Oncology (2.0k citations). Natasha Kyprianou has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include John T. Isaacs, Hugh F. English, Shinichi Sakamoto, Craig Horbinski, Patrick J. Hensley, Zheng Cao, Nancy E. Davidson, Hong Pu, Sarah K. Martin and Mari Nakazawa. Their work appears in journals such as PLoS ONE, JNCI Journal of the National Cancer Institute 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.