Peter Priestley
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
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- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
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- Cancer Genomics and Diagnostics 7
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- Lung Cancer Treatments and Mutations 2
- Co-authors
- Edwin Cuppen (10 shared papers)Arne van Hoeck (3 shared papers)Francisco Martínez-Jiménez (2 shared papers)Nicolle Besselink (4 shared papers)Charles Shale (6 shared papers)Roel Janssen (2 shared papers)Jonathan Baber (3 shared papers)Luan Nguyen (1 shared paper)
- Journals
- Cell Genomics (2 papers)Nature Genetics (1 paper)Scientific Reports (1 paper)Nature Communications (1 paper)Bioinformatics (1 paper)
- Partner nations
- NetherlandsAustraliaGermany
In The Last Decade
Peter Priestley
11 papers receiving 471 citations
Peter Priestley's Hit Papers
Peers
Comparison fields: 5 of 68
- Cancer Research 220
- Oncology 163
- Pathology and Forensic Medicine 68
- Molecular Biology 245
- Genetics 84
Countries citing papers authored by Peter Priestley
This map shows the geographic impact of Peter Priestley'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 Priestley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Priestley more than expected).
Fields of papers citing papers by Peter Priestley
This network shows the impact of papers produced by Peter Priestley. 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 Priestley. The network helps show where Peter Priestley may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Priestley, 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 | 2019 | 138 | |
| 2 | Pan-cancer whole-genome comparison of primary and metastatic solid tumours Hit paper breakdown → | 2023 | 125 |
| 3 | 2021 | 74 | |
| 4 | 2023 | 50 | |
| 5 | 2022 | 37 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 15 | |
| 8 | 2021 | 12 | |
| 9 | 2022 | 3 | |
| 10 | Workforce needs of the career development sector in the UK | 2018 | 1 |
| 11 | 2000 | 1 | |
| 12 | 2021 | 0 |
About Peter Priestley
Peter Priestley is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Pathology and Forensic Medicine and Oncology, having authored 12 papers that have together received 473 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Genetic factors in colorectal cancer (2 papers), Genomics and Phylogenetic Studies (2 papers), Lung Cancer Treatments and Mutations (2 papers), Genomics and Rare Diseases (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Higher Education and Employability (1 paper) and Retirement, Disability, and Employment (1 paper). The work is most often cited by research in Cancer Research (220 citations), Oncology (163 citations), Pathology and Forensic Medicine (68 citations), Molecular Biology (245 citations) and Genetics (84 citations). Peter Priestley has collaborated with scholars based in Netherlands, Australia and Germany. Frequent co-authors include Edwin Cuppen, Arne van Hoeck, Francisco Martínez-Jiménez, Nicolle Besselink, Charles Shale, Roel Janssen, Jonathan Baber, Luan Nguyen, Daniel Cameron and Anthony T. Papenfuss. Their work appears in journals such as Cell Genomics, Nature Genetics, Scientific Reports, Nature Communications and Bioinformatics.
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.