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)Roger Gejman (2 shared papers)Dalia L. Batista (2 shared papers)Anne Klibanski (3 shared papers)Yingying Wang (1 shared paper)Jing Zhao (1 shared paper)Ying Zhong (1 shared paper)Xun Zhang (1 shared paper)
- Journals
- Journal of Clinical Oncology (20 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
87 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Cancer Research 675
- Genetics 298
- Oncology 569
- Hepatology 141
- Molecular Biology 965
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 89 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 | 544 |
| 2 | 2006 | 163 | |
| 3 | 2012 | 87 | |
| 4 | 2016 | 86 | |
| 5 | 2013 | 78 | |
| 6 | 2016 | 65 | |
| 7 | 2017 | 57 | |
| 8 | 2006 | 55 | |
| 9 | 2018 | 52 | |
| 10 | 2016 | 50 | |
| 11 | 2011 | 42 | |
| 12 | 2007 | 33 | |
| 13 | 2019 | 30 | |
| 14 | 2019 | 28 | |
| 15 | 2015 | 28 | |
| 16 | 2014 | 27 | |
| 17 | Bio2RDF release 3: a larger connected network of linked data for the life sciences | 2014 | 26 |
| 18 | 2019 | 25 | |
| 19 | 2021 | 24 | |
| 20 | 2020 | 24 |
About Peter Ansell
Peter Ansell is a scholar working on Oncology, Genetics, Pulmonary and Respiratory Medicine, Cancer Research and Molecular Biology, having authored 89 papers that have together received 1.9k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (27 papers), Lung Cancer Treatments and Mutations (17 papers), Cancer Treatment and Pharmacology (14 papers), HER2/EGFR in Cancer Research (13 papers), Colorectal Cancer Treatments and Studies (11 papers), Cancer Genomics and Diagnostics (10 papers), PARP inhibition in cancer therapy (9 papers) and Cancer, Hypoxia, and Metabolism (9 papers). The work is most often cited by research in Cancer Research (675 citations), Genetics (298 citations), Oncology (569 citations), Hepatology (141 citations) and Molecular Biology (965 citations). Peter Ansell has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Yunli Zhou, Roger Gejman, Dalia L. Batista, Anne Klibanski, Yingying Wang, Jing Zhao, Ying Zhong, Xun Zhang, Lisa Roberts-Rapp and Hao Xiong. 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.