Nathan Dedman
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- Metabolomics and Mass Spectrometry Studies
- Chemical Synthesis and Analysis
Papers in
-
- Bioinformatics and Genomic Networks 5
- Genetics, Bioinformatics, and Biomedical Research 2
- Biomedical Text Mining and Ontologies 2
- Metabolomics and Mass Spectrometry Studies 1
-
- Computational Drug Discovery Methods 6
- Co-authors
- John P. Overington (6 shared papers)Anna Gaulton (4 shared papers)Mark Davies (5 shared papers)George Papadatos (5 shared papers)Michał Nowotka (3 shared papers)Francis Atkinson (3 shared papers)Louisa J. Bellis (2 shared papers)Anne Hersey (4 shared papers)
- Journals
- Nucleic Acids Research (3 papers)Journal of Biomedical Semantics (1 paper)Tetrahedron Letters (1 paper)Bioinformatics (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United KingdomColombia
In The Last Decade
Nathan Dedman
7 papers receiving 2.2k citations
Nathan Dedman's Hit Papers
Peers
Comparison fields: 5 of 133
- Computational Theory and Mathematics 1.5k
- Molecular Biology 1.4k
- Pharmacology 335
- Pharmacology 171
- Biophysics 55
Countries citing papers authored by Nathan Dedman
This map shows the geographic impact of Nathan Dedman'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 Nathan Dedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Dedman more than expected).
Fields of papers citing papers by Nathan Dedman
This network shows the impact of papers produced by Nathan Dedman. 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 Nathan Dedman. The network helps show where Nathan Dedman may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Dedman, 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 | The ChEMBL database in 2017 Hit paper breakdown → | 2016 | 1589 |
| 2 | ChEMBL web services: streamlining access to drug discovery data and utilities Hit paper breakdown → | 2015 | 464 |
| 3 | 2015 | 150 | |
| 4 | 2011 | 23 | |
| 5 | 2016 | 22 | |
| 6 | 2014 | 10 | |
| 7 | 2015 | 10 |
About Nathan Dedman
Nathan Dedman is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Pharmacology and Biotechnology, having authored 7 papers that have together received 2.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (5 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Biomedical Text Mining and Ontologies (2 papers), Catalytic Cross-Coupling Reactions (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Microbial Metabolism and Applications (1 paper) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Molecular Biology (1.4k citations), Pharmacology (335 citations), Pharmacology (171 citations) and Biophysics (55 citations). Nathan Dedman has collaborated with scholars based in United Kingdom and Colombia. Frequent co-authors include John P. Overington, Anna Gaulton, Mark Davies, George Papadatos, Michał Nowotka, Francis Atkinson, Louisa J. Bellis, Anne Hersey, Jon Chambers and A. Patrícia Bento. Their work appears in journals such as Nucleic Acids Research, Journal of Biomedical Semantics, Tetrahedron Letters, Bioinformatics and SHILAP Revista de lepidopterología.
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.