Kaylene J. Simpson
Impact in
- Oncology top 1%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
Papers in
-
- Cell Image Analysis Techniques 7
- Co-authors
- Geoffrey J. LindemanJane E. VisvaderMarie-Liesse Asselin-LabatMark ShackletonGordon K. SmythJulia StinglFrançois VaillantLi Wu
- Journals
- Assay and Drug Development Technologies (6 papers)Scientific Data (5 papers)Oncogene (5 papers)Cancer Research (4 papers)Cell Death and Differentiation (4 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Kaylene J. Simpson
106 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Oncology 1.8k
- Cancer Research 757
- Molecular Biology 2.7k
- Cell Biology 548
- Immunology and Allergy 203
Countries citing papers authored by Kaylene J. Simpson
This map shows the geographic impact of Kaylene J. Simpson'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 Kaylene J. Simpson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaylene J. Simpson more than expected).
Fields of papers citing papers by Kaylene J. Simpson
This network shows the impact of papers produced by Kaylene J. Simpson. 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 Kaylene J. Simpson. The network helps show where Kaylene J. Simpson may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaylene J. Simpson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 6 | |
| 4 | 2021 | 17 | |
| 5 | 2021 | 28 | |
| 6 | 2020 | 8 | |
| 7 | 2020 | 17 | |
| 8 | 2020 | 29 | |
| 9 | 2019 | 27 | |
| 10 | 2018 | 78 | |
| 11 | 2017 | 2 | |
| 12 | 2017 | 2 | |
| 13 | 2017 | 12 | |
| 14 | 2016 | 8 | |
| 15 | 2015 | 25 | |
| 16 | 2015 | 54 | |
| 17 | 2013 | 51 | |
| 18 | 2013 | 157 | |
| 19 | 2013 | 32 | |
| 20 | Generation of a functional mammary gland from a single stem cell | 2006 | 7 |
About Kaylene J. Simpson
Kaylene J. Simpson is a scholar working on Biophysics, Immunology and Allergy, Oncology, Molecular Biology and Reproductive Medicine, having authored 110 papers that have together received 4.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (13 papers), Cancer Cells and Metastasis (13 papers), Animal Genetics and Reproduction (8 papers), Cell Image Analysis Techniques (7 papers), RNA modifications and cancer (7 papers), Molecular Biology Techniques and Applications (7 papers), Epigenetics and DNA Methylation (6 papers) and Cellular Mechanics and Interactions (6 papers). The work is most often cited by research in Oncology (1.8k citations), Cancer Research (757 citations), Molecular Biology (2.7k citations), Cell Biology (548 citations) and Immunology and Allergy (203 citations). Kaylene J. Simpson has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Geoffrey J. Lindeman, Jane E. Visvader, Marie-Liesse Asselin-Labat, Mark Shackleton, Gordon K. Smyth, Julia Stingl, François Vaillant, Li Wu, Kevin R. Nicholas and Arthur M. Mercurio. Their work appears in journals such as Assay and Drug Development Technologies, Scientific Data, Oncogene, Cancer Research and Cell Death and Differentiation.
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.