Ken Dutton‐Regester
Impact in
- Oncology top 10%
- Cutaneous Melanoma Detection and Management
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
Papers in
-
- Melanoma and MAPK Pathways 7
- vaccines and immunoinformatics approaches 3
- Epigenetics and DNA Methylation 2
-
- Cancer Genomics and Diagnostics 6
- Co-authors
- Nicholas K. Hayward (15 shared papers)Tongwu Zhang (1 shared paper)Kevin M. Brown (1 shared paper)Elke Hacker (3 shared papers)Lauren G. Aoude (5 shared papers)Mitchell Stark (3 shared papers)Carleen Cullinane (4 shared papers)Susan L. Woods (1 shared paper)
- Journals
- Pigment Cell & Melanoma Research (5 papers)Oncotarget (2 papers)Journal of Investigative Dermatology (2 papers)Molecular Cancer Therapeutics (1 paper)JMIR Serious Games (1 paper)
- Partner nations
- AustraliaUnited StatesBelgium
In The Last Decade
Ken Dutton‐Regester
17 papers receiving 922 citations
Peers
Comparison fields: 5 of 70
- Oncology 379
- Cancer Research 197
- Molecular Biology 602
- Cell Biology 125
- Dermatology 62
Countries citing papers authored by Ken Dutton‐Regester
This map shows the geographic impact of Ken Dutton‐Regester'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 Ken Dutton‐Regester with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Dutton‐Regester more than expected).
Fields of papers citing papers by Ken Dutton‐Regester
This network shows the impact of papers produced by Ken Dutton‐Regester. 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 Ken Dutton‐Regester. The network helps show where Ken Dutton‐Regester may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Dutton‐Regester, 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 | 2014 | 156 | |
| 2 | 2011 | 148 | |
| 3 | 2013 | 123 | |
| 4 | 2016 | 122 | |
| 5 | 2015 | 66 | |
| 6 | 2014 | 58 | |
| 7 | 2020 | 50 | |
| 8 | 2013 | 44 | |
| 9 | 2014 | 40 | |
| 10 | 2012 | 38 | |
| 11 | 2012 | 25 | |
| 12 | 2020 | 20 | |
| 13 | 2013 | 19 | |
| 14 | 2021 | 13 | |
| 15 | 2012 | 12 | |
| 16 | 2012 | 1 | |
| 17 | 2016 | 1 |
About Ken Dutton‐Regester
Ken Dutton‐Regester is a scholar working on Molecular Biology, Cancer Research, Oncology, Computational Theory and Mathematics and Cell Biology, having authored 17 papers that have together received 936 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (7 papers), Cancer Genomics and Diagnostics (6 papers), Cutaneous Melanoma Detection and Management (5 papers), vaccines and immunoinformatics approaches (3 papers), Epigenetics and DNA Methylation (2 papers), melanin and skin pigmentation (2 papers), Computational Drug Discovery Methods (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Oncology (379 citations), Cancer Research (197 citations), Molecular Biology (602 citations), Cell Biology (125 citations) and Dermatology (62 citations). Ken Dutton‐Regester has collaborated with scholars based in Australia, United States and Belgium. Frequent co-authors include Nicholas K. Hayward, Tongwu Zhang, Kevin M. Brown, Elke Hacker, Lauren G. Aoude, Mitchell Stark, Carleen Cullinane, Susan L. Woods, Vanessa Bonazzi and Richard A. Sturm. Their work appears in journals such as Pigment Cell & Melanoma Research, Oncotarget, Journal of Investigative Dermatology, Molecular Cancer Therapeutics and JMIR Serious Games.
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.