John V. Pearson
Impact in
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics
- Oncology top 0.05%
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Cancer Genomics and Diagnostics 47
- Oncology 35
- Pancreatic and Hepatic Oncology Research 14
- Cutaneous Melanoma Detection and Management 10
- Co-authors
- Nicola Waddell (35 shared papers)David Wesley Craig (9 shared papers)Szabolcs Szelinger (4 shared papers)Dietrich A. Stephan (3 shared papers)Olga Kondrashova (8 shared papers)Nils Homer (3 shared papers)Khoa Anh Tran (4 shared papers)Andrew P. Bradley (2 shared papers)
- Journals
- Nature Communications (19 papers)Nature (16 papers)Genome Medicine (9 papers)The American Journal of Human Genetics (9 papers)Nature Genetics (6 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
John V. Pearson
160 papers receiving 45.7k citations
John V. Pearson's Hit Papers
Peers
Comparison fields: 5 of 183
- Cancer Research 9.5k
- Oncology 12k
- Genetics 8.2k
- Molecular Biology 11.2k
- Reproductive Medicine 1.2k
Countries citing papers authored by John V. Pearson
This map shows the geographic impact of John V. Pearson'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 John V. Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John V. Pearson more than expected).
Fields of papers citing papers by John V. Pearson
This network shows the impact of papers produced by John V. Pearson. 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 John V. Pearson. The network helps show where John V. Pearson may publish in the future.
Co-authors
The 25 scholars most cited alongside John V. Pearson, 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 162 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Signatures of mutational processes in human cancer Hit paper breakdown → | 2013 | 7666 |
| 2 | A map of human genome variation from population-scale sequencing Hit paper breakdown → | 2010 | 6377 |
| 3 | Genomic analyses identify molecular subtypes of pancreatic cancer Hit paper breakdown → | 2016 | 2822 |
| 4 | The repertoire of mutational signatures in human cancer Hit paper breakdown → | 2020 | 2401 |
| 5 | Pan-cancer analysis of whole genomes Hit paper breakdown → | 2020 | 2169 |
| 6 | Whole genomes redefine the mutational landscape of pancreatic cancer Hit paper breakdown → | 2015 | 2129 |
| 7 | International network of cancer genome projects Hit paper breakdown → | 2010 | 1844 |
| 8 | Pancreatic cancer genomes reveal aberrations in axon guidance pathway genes Hit paper breakdown → | 2012 | 1711 |
| 9 | Whole–genome characterization of chemoresistant ovarian cancer Hit paper breakdown → | 2015 | 1249 |
| 10 | Whole-genome landscapes of major melanoma subtypes Hit paper breakdown → | 2017 | 1109 |
| 11 | Resolving Individuals Contributing Trace Amounts of DNA to Highly Complex Mixtures Using High-Density SNP Genotyping Microarrays Hit paper breakdown → | 2008 | 908 |
| 12 | Whole-genome landscape of pancreatic neuroendocrine tumours Hit paper breakdown → | 2017 | 784 |
| 13 | The evolutionary history of 2,658 cancers Hit paper breakdown → | 2020 | 730 |
| 14 | Deep learning in cancer diagnosis, prognosis and treatment selection Hit paper breakdown → | 2021 | 634 |
| 15 | Patterns of somatic structural variation in human cancer genomes Hit paper breakdown → | 2020 | 564 |
| 16 | Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing Hit paper breakdown → | 2020 | 489 |
| 17 | Demographic history and rare allele sharing among human populations Hit paper breakdown → | 2011 | 487 |
| 18 | 2007 | 468 | |
| 19 | Analyses of non-coding somatic drivers in 2,658 cancer whole genomes Hit paper breakdown → | 2020 | 428 |
| 20 | 2010 | 424 |
About John V. Pearson
John V. Pearson is a scholar working on Cancer Research, Oncology, Genetics, Molecular Biology and Physiology, having authored 162 papers that have together received 46.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (47 papers), Genetic Associations and Epidemiology (16 papers), Pancreatic and Hepatic Oncology Research (14 papers), Cutaneous Melanoma Detection and Management (10 papers), Melanoma and MAPK Pathways (10 papers), BRCA gene mutations in cancer (8 papers), Alzheimer's disease research and treatments (7 papers) and Genomics and Rare Diseases (7 papers). The work is most often cited by research in Cancer Research (9.5k citations), Oncology (12k citations), Genetics (8.2k citations), Molecular Biology (11.2k citations) and Reproductive Medicine (1.2k citations). John V. Pearson has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Nicola Waddell, David Wesley Craig, Szabolcs Szelinger, Dietrich A. Stephan, Olga Kondrashova, Nils Homer, Khoa Anh Tran, Andrew P. Bradley, Elizabeth D. Williams and Waibhav Tembe. Their work appears in journals such as Nature Communications, Nature, Genome Medicine, The American Journal of Human Genetics and Nature Genetics.
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.