Kerri‐Ann Norton
- Oncology top 10%
- Molecular Biology
- Modeling and Simulation top 2%
- Cancer Research
- Artificial Intelligence top 10%
- Co-authors
- Aleksander S. PopelChang GongSamira JamalianHitoshi IyatomiM. Emre CelebiMasaru TanakaKouhei ShimizuKideok Jin
- Topics
- Mathematical Biology Tumor Growth (9 papers)Cancer Cells and Metastasis (6 papers)AI in cancer detection (4 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Kerri‐Ann Norton
21 papers receiving 626 citations
Peers
Comparison fields: 5 of 100
- Oncology 307
- Molecular Biology 239
- Modeling and Simulation 167
- Cancer Research 115
- Artificial Intelligence 112
Countries citing papers authored by Kerri‐Ann Norton
This map shows the geographic impact of Kerri‐Ann Norton'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 Kerri‐Ann Norton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kerri‐Ann Norton more than expected).
Fields of papers citing papers by Kerri‐Ann Norton
This network shows the impact of papers produced by Kerri‐Ann Norton. 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 Kerri‐Ann Norton. The network helps show where Kerri‐Ann Norton may publish in the future.
Co-authorship network of co-authors of Kerri‐Ann Norton
This figure shows the co-authorship network connecting the top 25 collaborators of Kerri‐Ann Norton. A scholar is included among the top collaborators of Kerri‐Ann Norton 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 Kerri‐Ann Norton. Kerri‐Ann Norton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 12 | |
| 9 | 115 | |
| 10 | 18 | |
| 11 | 47 | |
| 12 | 44 | |
| 13 | 122 | |
| 14 | 14 | |
| 15 | Extension of automated melanoma screening for non-melanocytic skin lesions | 6 |
| 16 | 15 | |
| 17 | 3 | |
| 18 | 29 | |
| 19 | 14 | |
| 20 | 37 |
About Kerri‐Ann Norton
Kerri‐Ann Norton is a scholar working on Modeling and Simulation, Biophysics and Oncology, having authored 22 papers that have together received 632 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (9 papers), Cancer Cells and Metastasis (6 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Modeling and Simulation (167 citations), Oncology (307 citations) and Cancer Research (115 citations). Kerri‐Ann Norton has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Aleksander S. Popel, Chang Gong, Samira Jamalian, Hitoshi Iyatomi, M. Emre Celebi, Masaru Tanaka, Kouhei Shimizu, Kideok Jin, Niranjan B. Pandey and Nicola Barnard. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Biomedical Engineering.
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.