Keiko Mayne
- Co-authors
- Carmela RicciardelliNorman DavidsonWayne D. TilleyRobert J. LaPollaDavid J. HorsfallAndrew J. SakkoRichard G. LeBaronSupaporn Suwiwat
- Topics
- Proteoglycans and glycosaminoglycans research (8 papers)Glycosylation and Glycoproteins Research (5 papers)Blood groups and transfusion (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of General Physiology
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Keiko Mayne
17 papers receiving 832 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 590
- Cell Biology 397
- Cancer Research 118
- Oncology 96
- Cellular and Molecular Neuroscience 89
Countries citing papers authored by Keiko Mayne
This map shows the geographic impact of Keiko Mayne'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 Keiko Mayne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Mayne more than expected).
Fields of papers citing papers by Keiko Mayne
This network shows the impact of papers produced by Keiko Mayne. 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 Keiko Mayne. The network helps show where Keiko Mayne may publish in the future.
Co-authorship network of co-authors of Keiko Mayne
This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Mayne. A scholar is included among the top collaborators of Keiko Mayne 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 Keiko Mayne. Keiko Mayne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 14 | |
| 3 | 8 | |
| 4 | 122 | |
| 5 | 8 | |
| 6 | Modulation of prostate cancer cell attachment to matrix by versican. | 72 |
| 7 | Regulation of stromal versican expression by breast cancer cells and importance to relapse-free survival in patients with node-negative primary breast cancer. | 137 |
| 8 | Versican accumulation in human prostatic fibroblast cultures is enhanced by prostate cancer cell-derived transforming growth factor beta1. | 89 |
| 9 | Elevated stromal chondroitin sulfate glycosaminoglycan predicts progression in early-stage prostate cancer. | 77 |
| 10 | 13 | |
| 11 | Urinary glycosaminoglycans are selectively included into calcium oxalate crystals precipitated from whole human urine. | 12 |
| 12 | A novel internal antigen which distinguishes germinal centre cells from other B-cell types. | 5 |
| 13 | 22 | |
| 14 | 2 | |
| 15 | 47 | |
| 16 | 82 | |
| 17 | 129 |
About Keiko Mayne
Keiko Mayne is a scholar working on Equine, Immunology and Allergy and Cell Biology, having authored 17 papers that have together received 849 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (8 papers), Glycosylation and Glycoproteins Research (5 papers) and Blood groups and transfusion (4 papers). The work is most often cited by research in Cell Biology (397 citations), Immunology and Allergy (87 citations) and Molecular Biology (590 citations). Keiko Mayne has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Carmela Ricciardelli, Norman Davidson, Wayne D. Tilley, Robert J. LaPolla, David J. Horsfall, Andrew J. Sakko, Richard G. LeBaron, Supaporn Suwiwat, Villis R. Marshall and Henry A. Lester. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of General Physiology.
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.