Oliver Barker
Impact in
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- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Histone Deacetylase Inhibitors Research
- Receptor Mechanisms and Signaling
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- Computational Drug Discovery Methods
Papers in
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- Ubiquitin and proteasome pathways 3
- Receptor Mechanisms and Signaling 3
- Heat shock proteins research 1
- Oncology 3
- Cancer-related Molecular Pathways 2
- Co-authors
- Richard Law (4 shared papers)Natalie Page (3 shared papers)C. O'Dowd (4 shared papers)Gérald Gavory (4 shared papers)Hugues Miel (2 shared papers)Keeva McClelland (3 shared papers)Timothy Harrison (2 shared papers)Matthew Helm (2 shared papers)
- Journals
- Biochemistry (2 papers)ChemMedChem (1 paper)Journal of Chemical Information and Modeling (1 paper)Nature Chemical Biology (1 paper)ACS Medicinal Chemistry Letters (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Oliver Barker
10 papers receiving 414 citations
Peers
Comparison fields: 5 of 54
- Molecular Biology 338
- Computational Theory and Mathematics 80
- Oncology 114
- Endocrine and Autonomic Systems 26
- Cognitive Neuroscience 33
Countries citing papers authored by Oliver Barker
This map shows the geographic impact of Oliver Barker'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 Oliver Barker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Barker more than expected).
Fields of papers citing papers by Oliver Barker
This network shows the impact of papers produced by Oliver Barker. 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 Oliver Barker. The network helps show where Oliver Barker may publish in the future.
Co-authors
The 25 scholars most cited alongside Oliver Barker, 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 | 2017 | 171 | |
| 2 | 2018 | 54 | |
| 3 | 2009 | 45 | |
| 4 | 2010 | 41 | |
| 5 | 2013 | 35 | |
| 6 | 2012 | 34 | |
| 7 | 2013 | 20 | |
| 8 | 2022 | 10 | |
| 9 | 2011 | 6 | |
| 10 | 2015 | 2 |
About Oliver Barker
Oliver Barker is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Organic Chemistry and Pharmacology, having authored 10 papers that have together received 418 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Computational Drug Discovery Methods (3 papers), Receptor Mechanisms and Signaling (3 papers), Cancer-related Molecular Pathways (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Heat shock proteins research (1 paper), Click Chemistry and Applications (1 paper) and Circadian rhythm and melatonin (1 paper). The work is most often cited by research in Molecular Biology (338 citations), Computational Theory and Mathematics (80 citations), Oncology (114 citations), Endocrine and Autonomic Systems (26 citations) and Cognitive Neuroscience (33 citations). Oliver Barker has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Richard Law, Natalie Page, C. O'Dowd, Gérald Gavory, Hugues Miel, Keeva McClelland, Timothy Harrison, Matthew Helm, Jakub Flasz and Alexander Heifetz. Their work appears in journals such as Biochemistry, ChemMedChem, Journal of Chemical Information and Modeling, Nature Chemical Biology and ACS Medicinal Chemistry Letters.
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.