Duncan Forster
Impact in
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Metabolomics and Mass Spectrometry Studies 3
- Machine Learning in Bioinformatics 1
- Oncology 4
- PARP inhibition in cancer therapy 2
- Peptidase Inhibition and Analysis 2
- Co-authors
- Kaye J. Williams (9 shared papers)Joana M. Senra (1 shared paper)James P.B. O’Connor (2 shared papers)Ester M. Hammond (1 shared paper)S. R. Williams (2 shared papers)Ioannis Bantounas (1 shared paper)Adrian S. Woolf (1 shared paper)Rachel Lennon (1 shared paper)
- Journals
- Neuro-Oncology Advances (2 papers)Molecular Cancer Therapeutics (1 paper)Clinical Cancer Research (1 paper)Drug Metabolism and Pharmacokinetics (1 paper)Magnetic Resonance in Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Duncan Forster
15 papers receiving 465 citations
Duncan Forster's Hit Papers
Peers
Comparison fields: 5 of 82
- Cancer Research 117
- Biological Psychiatry 10
- Molecular Biology 249
- Pulmonary and Respiratory Medicine 112
- Radiology, Nuclear Medicine and Imaging 66
Countries citing papers authored by Duncan Forster
This map shows the geographic impact of Duncan Forster'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 Duncan Forster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duncan Forster more than expected).
Fields of papers citing papers by Duncan Forster
This network shows the impact of papers produced by Duncan Forster. 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 Duncan Forster. The network helps show where Duncan Forster may publish in the future.
Co-authors
The 25 scholars most cited alongside Duncan Forster, 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 | 2014 | 170 | |
| 2 | 2018 | 131 | |
| 3 | 2010 | 32 | |
| 4 | 2011 | 21 | |
| 5 | 2012 | 19 | |
| 6 | Transformers and genome language models Hit paper breakdown → | 2025 | 18 |
| 7 | 2022 | 17 | |
| 8 | 2017 | 16 | |
| 9 | 2013 | 12 | |
| 10 | 2017 | 12 | |
| 11 | 2017 | 11 | |
| 12 | 1972 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2017 | 3 | |
| 15 | 2021 | 1 | |
| 16 | 2024 | 0 |
About Duncan Forster
Duncan Forster is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Physiology and Cancer Research, having authored 16 papers that have together received 472 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Alzheimer's disease research and treatments (2 papers), PARP inhibition in cancer therapy (2 papers), Advanced MRI Techniques and Applications (2 papers), Glioma Diagnosis and Treatment (2 papers), Peptidase Inhibition and Analysis (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Cancer Research (117 citations), Biological Psychiatry (10 citations), Molecular Biology (249 citations), Pulmonary and Respiratory Medicine (112 citations) and Radiology, Nuclear Medicine and Imaging (66 citations). Duncan Forster has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Kaye J. Williams, Joana M. Senra, James P.B. O’Connor, Ester M. Hammond, S. R. Williams, Ioannis Bantounas, Adrian S. Woolf, Rachel Lennon, Parisa Ranjzad and Marie‐Claude Asselin. Their work appears in journals such as Neuro-Oncology Advances, Molecular Cancer Therapeutics, Clinical Cancer Research, Drug Metabolism and Pharmacokinetics and Magnetic Resonance in Medicine.
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.