Grey Wilkinson
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
-
- CAR-T cell therapy research
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Cancer Research and Treatments 11
- Genetics 10
- Virus-based gene therapy research 9
- Co-authors
- Carol Schuurmans (7 shared papers)Daniel J. Dennis (3 shared papers)Deborah M. Kurrasch (5 shared papers)Saiqun Li (5 shared papers)Rajiv Dixit (5 shared papers)Pierre Mattar (2 shared papers)Jennifer A. Chan (2 shared papers)Gerard J. Nuovo (3 shared papers)
- Journals
- Journal of Clinical Oncology (6 papers)Cancer Research (4 papers)Journal of Neuroscience (3 papers)Veterinary Record (1 paper)Journal of Cellular Biochemistry (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Grey Wilkinson
21 papers receiving 540 citations
Peers
Comparison fields: 5 of 56
- Developmental Neuroscience 154
- Oncology 136
- Genetics 140
- Molecular Biology 309
- Biotechnology 33
Countries citing papers authored by Grey Wilkinson
This map shows the geographic impact of Grey Wilkinson'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 Grey Wilkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grey Wilkinson more than expected).
Fields of papers citing papers by Grey Wilkinson
This network shows the impact of papers produced by Grey Wilkinson. 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 Grey Wilkinson. The network helps show where Grey Wilkinson may publish in the future.
Co-authors
The 25 scholars most cited alongside Grey Wilkinson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 155 | |
| 2 | 2013 | 98 | |
| 3 | 2014 | 90 | |
| 4 | 2014 | 50 | |
| 5 | 2012 | 42 | |
| 6 | 2016 | 29 | |
| 7 | 2017 | 29 | |
| 8 | 2015 | 26 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2019 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2011 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 1969 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2020 | 1 |
About Grey Wilkinson
Grey Wilkinson is a scholar working on Biotechnology, Genetics, Molecular Biology, Oncology and Developmental Neuroscience, having authored 21 papers that have together received 545 indexed citations. Recurring topics across this work include Cancer Research and Treatments (11 papers), Virus-based gene therapy research (9 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Cancer Immunotherapy and Biomarkers (3 papers), CAR-T cell therapy research (3 papers), RNA Research and Splicing (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Developmental Neuroscience (154 citations), Oncology (136 citations), Genetics (140 citations), Molecular Biology (309 citations) and Biotechnology (33 citations). Grey Wilkinson has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Carol Schuurmans, Daniel J. Dennis, Deborah M. Kurrasch, Saiqun Li, Rajiv Dixit, Pierre Mattar, Jennifer A. Chan, Gerard J. Nuovo, Christos Fountzilas and Patrick Raber. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Journal of Neuroscience, Veterinary Record and Journal of Cellular Biochemistry.
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.