David Sumpton
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 5%
- Metabolism, Diabetes, and Cancer
- Ubiquitin and proteasome pathways
- Mitochondrial Function and Pathology
- Epigenetics and DNA Methylation
Papers in
-
- Ubiquitin and proteasome pathways 6
- Metabolism, Diabetes, and Cancer 4
-
- Cancer, Hypoxia, and Metabolism 8
- Cancer, Lipids, and Metabolism 5
- Co-authors
- Gillian Mackay (11 shared papers)Willy V. Bienvenut (4 shared papers)Nicholas A. Morrice (3 shared papers)Karen Blyth (7 shared papers)Colin Nixon (4 shared papers)Johan Vande Voorde (6 shared papers)Saverio Tardito (8 shared papers)Sérgio Lilla (8 shared papers)
- Journals
- Nature Communications (5 papers)Cell Death and Disease (4 papers)Cellular Signalling (3 papers)Oncogene (2 papers)Cancer Research (2 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
David Sumpton
45 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 122
- Cancer Research 372
- Molecular Biology 1.2k
- Oncology 353
- Immunology 232
- Cell Biology 169
Countries citing papers authored by David Sumpton
This map shows the geographic impact of David Sumpton'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 David Sumpton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sumpton more than expected).
Fields of papers citing papers by David Sumpton
This network shows the impact of papers produced by David Sumpton. 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 David Sumpton. The network helps show where David Sumpton may publish in the future.
Co-authors
The 25 scholars most cited alongside David Sumpton, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 243 | |
| 2 | 2009 | 233 | |
| 3 | 2020 | 174 | |
| 4 | 2013 | 161 | |
| 5 | 2012 | 151 | |
| 6 | 2015 | 142 | |
| 7 | 2017 | 85 | |
| 8 | 2018 | 85 | |
| 9 | 2020 | 70 | |
| 10 | 2020 | 68 | |
| 11 | 2015 | 66 | |
| 12 | 2007 | 59 | |
| 13 | 2018 | 58 | |
| 14 | 2009 | 48 | |
| 15 | 2021 | 48 | |
| 16 | 2020 | 44 | |
| 17 | 2024 | 38 | |
| 18 | 2011 | 37 | |
| 19 | 2009 | 34 | |
| 20 | 2020 | 27 |
About David Sumpton
David Sumpton is a scholar working on Molecular Biology, Cancer Research, Oncology, Cell Biology and Plant Science, having authored 46 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (8 papers), Ubiquitin and proteasome pathways (6 papers), Cancer, Lipids, and Metabolism (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Acute Myeloid Leukemia Research (4 papers), Legume Nitrogen Fixing Symbiosis (4 papers) and Plant nutrient uptake and metabolism (3 papers). The work is most often cited by research in Cancer Research (372 citations), Molecular Biology (1.2k citations), Oncology (353 citations), Immunology (232 citations) and Cell Biology (169 citations). David Sumpton has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Gillian Mackay, Willy V. Bienvenut, Nicholas A. Morrice, Karen Blyth, Colin Nixon, Johan Vande Voorde, Saverio Tardito, Sérgio Lilla, Eyal Gottlieb and Tobias Ackermann. Their work appears in journals such as Nature Communications, Cell Death and Disease, Cellular Signalling, Oncogene 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.