John Peacock
Impact in
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
Papers in
- Co-authors
- John Dorrance Minna (2 shared papers)Gillian Ross (2 shared papers)Alan Ashworth (2 shared papers)David Bertwistle (2 shared papers)Andrew N.J. Tutt (2 shared papers)Anastasia Gabriel (1 shared paper)Frances L. Connor (1 shared paper)Hugh J. Paterson III (1 shared paper)
- Journals
- Acta Neuropathologica (4 papers)Radiotherapy and Oncology (4 papers)Cell (2 papers)Architectural History (2 papers)Nature Genetics (2 papers)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
John Peacock
46 papers receiving 4.2k citations
John Peacock's Hit Papers
Peers
Comparison fields: 5 of 137
- Genetics 1.6k
- Cancer Research 896
- Molecular Biology 2.8k
- Oncology 525
- Neurology 293
Countries citing papers authored by John Peacock
This map shows the geographic impact of John Peacock'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 Peacock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Peacock more than expected).
Fields of papers citing papers by John Peacock
This network shows the impact of papers produced by John Peacock. 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 Peacock. The network helps show where John Peacock may publish in the future.
Co-authors
The 25 scholars most cited alongside John Peacock, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Intertumoral Heterogeneity within Medulloblastoma Subgroups Hit paper breakdown → | 2017 | 894 |
| 2 | Subgroup-specific structural variation across 1,000 medulloblastoma genomes Hit paper breakdown → | 2012 | 731 |
| 3 | 2009 | 349 | |
| 4 | 1999 | 277 | |
| 5 | 2016 | 264 | |
| 6 | 2014 | 250 | |
| 7 | 2012 | 150 | |
| 8 | 2013 | 137 | |
| 9 | 1971 | 119 | |
| 10 | 2018 | 116 | |
| 11 | 2017 | 109 | |
| 12 | 2000 | 103 | |
| 13 | 1976 | 90 | |
| 14 | 2004 | 84 | |
| 15 | 1972 | 78 | |
| 16 | 2015 | 78 | |
| 17 | 2015 | 77 | |
| 18 | 2003 | 67 | |
| 19 | 2018 | 47 | |
| 20 | 1993 | 39 |
About John Peacock
John Peacock is a scholar working on Museology, Genetics, Cancer Research, Visual Arts and Performing Arts and History, having authored 56 papers that have together received 4.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (10 papers), Fashion and Cultural Textiles (6 papers), Cancer Genomics and Diagnostics (5 papers), DNA Repair Mechanisms (4 papers), Historical Art and Culture Studies (4 papers), Genomics and Chromatin Dynamics (3 papers), Hedgehog Signaling Pathway Studies (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Genetics (1.6k citations), Cancer Research (896 citations), Molecular Biology (2.8k citations), Oncology (525 citations) and Neurology (293 citations). John Peacock has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include John Dorrance Minna, Gillian Ross, Alan Ashworth, David Bertwistle, Andrew N.J. Tutt, Anastasia Gabriel, Frances L. Connor, Hugh J. Paterson III, Phillip G. Nelson and John R. Yarnold. Their work appears in journals such as Acta Neuropathologica, Radiotherapy and Oncology, Cell, Architectural History 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.