Peter Ansell
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
- Co-authors
- Yunli Zhou (4 shared papers)Dalia L. Batista (2 shared papers)Roger Gejman (2 shared papers)Anne Klibanski (3 shared papers)Yingying Wang (1 shared paper)Ying Zhong (1 shared paper)Xun Zhang (1 shared paper)Jing Zhao (1 shared paper)
- Journals
- Journal of Clinical Oncology (22 papers)Neuro-Oncology (17 papers)Annals of Oncology (8 papers)Investigational New Drugs (5 papers)Cancer Research (3 papers)
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Peter Ansell
91 papers receiving 2.1k citations
Peter Ansell's Hit Papers
Peers
Comparison fields: 5 of 110
- Cancer Research 629
- Genetics 266
- Oncology 527
- Hepatology 133
- Molecular Biology 935
Countries citing papers authored by Peter Ansell
This map shows the geographic impact of Peter Ansell'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 Peter Ansell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Ansell more than expected).
Fields of papers citing papers by Peter Ansell
This network shows the impact of papers produced by Peter Ansell. 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 Peter Ansell. The network helps show where Peter Ansell may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Ansell, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Activation of p53 by MEG3 Non-coding RNA Hit paper breakdown → | 2007 | 563 |
| 2 | 2006 | 169 | |
| 3 | 2012 | 93 | |
| 4 | 2013 | 92 | |
| 5 | 2013 | 90 | |
| 6 | 2016 | 89 | |
| 7 | 2016 | 68 | |
| 8 | 2017 | 60 | |
| 9 | 2006 | 56 | |
| 10 | 2018 | 53 | |
| 11 | 2016 | 50 | |
| 12 | 2011 | 42 | |
| 13 | 2019 | 38 | |
| 14 | Bio2RDF release 3: a larger connected network of linked data for the life sciences | 2014 | 34 |
| 15 | 2007 | 33 | |
| 16 | 2015 | 29 | |
| 17 | 2019 | 28 | |
| 18 | 2014 | 27 | |
| 19 | 2019 | 26 | |
| 20 | 2021 | 26 |
About Peter Ansell
Peter Ansell is a scholar working on Oncology, Genetics, Pulmonary and Respiratory Medicine, Cancer Research and Molecular Biology, having authored 96 papers that have together received 2.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (26 papers), Lung Cancer Treatments and Mutations (19 papers), Cancer Treatment and Pharmacology (13 papers), PARP inhibition in cancer therapy (11 papers), HER2/EGFR in Cancer Research (10 papers), Colorectal Cancer Treatments and Studies (9 papers), Cancer Genomics and Diagnostics (8 papers) and Cancer, Hypoxia, and Metabolism (7 papers). The work is most often cited by research in Cancer Research (629 citations), Genetics (266 citations), Oncology (527 citations), Hepatology (133 citations) and Molecular Biology (935 citations). Peter Ansell has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Yunli Zhou, Dalia L. Batista, Roger Gejman, Anne Klibanski, Yingying Wang, Ying Zhong, Xun Zhang, Jing Zhao, Alison Callahan and José Cruz-Toledo. Their work appears in journals such as Journal of Clinical Oncology, Neuro-Oncology, Annals of Oncology, Investigational New Drugs and Cancer Research.
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.