John Gamble
Impact in
- Cancer Research top 1%
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Cancer Cells and Metastasis
Papers in
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- Cancer Genomics and Diagnostics 4
-
- Insect symbiosis and bacterial influences 2
- Co-authors
- Jo Milner (2 shared papers)William Henry Colledge (1 shared paper)Alan D. Pemberton (1 shared paper)Pamela A. Knight (1 shared paper)Michael Pierce (1 shared paper)Jin‐Kyu Lee (1 shared paper)Hugh R.P. Miller (1 shared paper)Kourosh Saeb‐Parsy (2 shared papers)
- Journals
- Nature Genetics (2 papers)Virology (2 papers)Journal of Clinical Investigation (1 paper)Cell (1 paper)Scientific Reports (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
John Gamble
18 papers receiving 4.1k citations
John Gamble's Hit Papers
Peers
Comparison fields: 5 of 108
- Cancer Research 1.6k
- Oncology 1000
- Molecular Biology 2.0k
- Pathology and Forensic Medicine 472
- Genetics 627
Countries citing papers authored by John Gamble
This map shows the geographic impact of John Gamble'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 Gamble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Gamble more than expected).
Fields of papers citing papers by John Gamble
This network shows the impact of papers produced by John Gamble. 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 Gamble. The network helps show where John Gamble may publish in the future.
Co-authors
The 25 scholars most cited alongside John Gamble, 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 | Mutational Processes Molding the Genomes of 21 Breast Cancers Hit paper breakdown → | 2012 | 1476 |
| 2 | The landscape of cancer genes and mutational processes in breast cancer Hit paper breakdown → | 2012 | 1403 |
| 3 | 2014 | 303 | |
| 4 | 2013 | 236 | |
| 5 | 2013 | 175 | |
| 6 | 2012 | 122 | |
| 7 | 2021 | 122 | |
| 8 | 2004 | 117 | |
| 9 | 2014 | 87 | |
| 10 | 2005 | 50 | |
| 11 | 1988 | 27 | |
| 12 | 2021 | 15 | |
| 13 | p53 is associated with a 35 kD protein in cells transformed by simian virus 40. | 1989 | 13 |
| 14 | 1985 | 11 | |
| 15 | 1995 | 10 | |
| 16 | 2014 | 5 | |
| 17 | 2019 | 1 | |
| 18 | 2013 | 1 |
About John Gamble
John Gamble is a scholar working on Cancer Research, Insect Science, Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 18 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Glycosylation and Glycoproteins Research (2 papers), Insect symbiosis and bacterial influences (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Chromatin Remodeling and Cancer (2 papers), Tumors and Oncological Cases (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Cancer Research (1.6k citations), Oncology (1000 citations), Molecular Biology (2.0k citations), Pathology and Forensic Medicine (472 citations) and Genetics (627 citations). John Gamble has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Jo Milner, William Henry Colledge, Alan D. Pemberton, Pamela A. Knight, Michael Pierce, Jin‐Kyu Lee, Hugh R.P. Miller, Kourosh Saeb‐Parsy, Krishnaa T. A. Mahbubani and Nils Eling. Their work appears in journals such as Nature Genetics, Virology, Journal of Clinical Investigation, Cell and Scientific Reports.
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.