D.J. Pratt
Impact in
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- Computational Drug Discovery Methods
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- Cancer-related Molecular Pathways
Papers in
- Oncology 6
- Cancer-related Molecular Pathways 5
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- Ubiquitin and proteasome pathways 1
- Biochemical and Molecular Research 1
- Angiogenesis and VEGF in Cancer 1
- Co-authors
- Jane Endicott (7 shared papers)M.E.M. Noble (6 shared papers)Oliver Billker (1 shared paper)Christian Doerig (1 shared paper)Philip J. Jewsbury (3 shared papers)L.N. Johnson (1 shared paper)Thomas G. Davies (1 shared paper)Johanne Bentley (3 shared papers)
- Journals
- Journal of Medicinal Chemistry (2 papers)Organic & Biomolecular Chemistry (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Pharmacology & Therapeutics (1 paper)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
D.J. Pratt
8 papers receiving 388 citations
Peers
Comparison fields: 5 of 63
- Computational Theory and Mathematics 88
- Oncology 126
- Organic Chemistry 116
- Molecular Biology 215
- Cell Biology 49
Countries citing papers authored by D.J. Pratt
This map shows the geographic impact of D.J. Pratt'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 D.J. Pratt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.J. Pratt more than expected).
Fields of papers citing papers by D.J. Pratt
This network shows the impact of papers produced by D.J. Pratt. 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 D.J. Pratt. The network helps show where D.J. Pratt may publish in the future.
Co-authors
The 25 scholars most cited alongside D.J. Pratt, 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 | 2004 | 106 | |
| 2 | 2002 | 77 | |
| 3 | 2005 | 70 | |
| 4 | 2003 | 64 | |
| 5 | 2006 | 30 | |
| 6 | 1987 | 21 | |
| 7 | 2007 | 16 | |
| 8 | The role of structure in kinase-targeted inhibitor design. | 2004 | 13 |
About D.J. Pratt
D.J. Pratt is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Infectious Diseases and Genetics, having authored 8 papers that have together received 397 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Cancer Mechanisms and Therapy (3 papers), HIV/AIDS drug development and treatment (2 papers), Trypanosoma species research and implications (1 paper), Malaria Research and Control (1 paper), Ubiquitin and proteasome pathways (1 paper), Biochemical and Molecular Research (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Computational Theory and Mathematics (88 citations), Oncology (126 citations), Organic Chemistry (116 citations), Molecular Biology (215 citations) and Cell Biology (49 citations). D.J. Pratt has collaborated with scholars based in United Kingdom. Frequent co-authors include Jane Endicott, M.E.M. Noble, Oliver Billker, Christian Doerig, Philip J. Jewsbury, L.N. Johnson, Thomas G. Davies, Johanne Bentley, Véronique Mesguiche and Bernard T. Golding. Their work appears in journals such as Journal of Medicinal Chemistry, Organic & Biomolecular Chemistry, Bioorganic & Medicinal Chemistry Letters, Pharmacology & Therapeutics and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.
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.