Jon K. Chambers
Impact in
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods
- Endocrine and Autonomic Systems top 0.5%
- Regulation of Appetite and Obesity
Papers in
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- Computational Drug Discovery Methods 9
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- Adenosine and Purinergic Signaling 5
- Co-authors
- Anne Hersey (8 shared papers)Anna Gaulton (8 shared papers)John P. Overington (8 shared papers)Mark G. Davies (7 shared papers)Louisa J. Bellis (6 shared papers)A. Patrícia Bento (5 shared papers)Yvonne Light (3 shared papers)Bissan Al‐Lazikani (2 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Journal of Biological Chemistry (3 papers)Journal of Cheminformatics (2 papers)Molecular Pharmacology (2 papers)Drug Discovery Today Technologies (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Jon K. Chambers
22 papers receiving 8.8k citations
Jon K. Chambers's Hit Papers
Peers
Comparison fields: 5 of 165
- Computational Theory and Mathematics 4.6k
- Endocrine and Autonomic Systems 794
- Pharmacology 1.4k
- Physiology 390
- Molecular Biology 4.8k
Countries citing papers authored by Jon K. Chambers
This map shows the geographic impact of Jon K. Chambers'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 Jon K. Chambers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon K. Chambers more than expected).
Fields of papers citing papers by Jon K. Chambers
This network shows the impact of papers produced by Jon K. Chambers. 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 Jon K. Chambers. The network helps show where Jon K. Chambers may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon K. Chambers, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ChEMBL: a large-scale bioactivity database for drug discovery Hit paper breakdown → | 2011 | 3298 |
| 2 | The ChEMBL database in 2017 Hit paper breakdown → | 2016 | 1778 |
| 3 | The ChEMBL bioactivity database: an update Hit paper breakdown → | 2013 | 1209 |
| 4 | 2000 | 667 | |
| 5 | 1999 | 439 | |
| 6 | 1999 | 287 | |
| 7 | 2000 | 232 | |
| 8 | 2001 | 202 | |
| 9 | 2015 | 168 | |
| 10 | 2000 | 148 | |
| 11 | 2000 | 130 | |
| 12 | 2013 | 125 | |
| 13 | 2001 | 125 | |
| 14 | 2001 | 69 | |
| 15 | 2001 | 66 | |
| 16 | 2000 | 59 | |
| 17 | 2015 | 42 | |
| 18 | 2014 | 26 | |
| 19 | 2011 | 25 | |
| 20 | 2002 | 14 |
About Jon K. Chambers
Jon K. Chambers is a scholar working on Computational Theory and Mathematics, Physiology, Endocrine and Autonomic Systems, Molecular Biology and Pharmacology, having authored 23 papers that have together received 9.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Receptor Mechanisms and Signaling (8 papers), Adenosine and Purinergic Signaling (5 papers), Neuropeptides and Animal Physiology (4 papers), Chemokine receptors and signaling (3 papers), Microbial Natural Products and Biosynthesis (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Regulation of Appetite and Obesity (3 papers). The work is most often cited by research in Computational Theory and Mathematics (4.6k citations), Endocrine and Autonomic Systems (794 citations), Pharmacology (1.4k citations), Physiology (390 citations) and Molecular Biology (4.8k citations). Jon K. Chambers has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Anne Hersey, Anna Gaulton, John P. Overington, Mark G. Davies, Louisa J. Bellis, A. Patrícia Bento, Yvonne Light, Bissan Al‐Lazikani, David Michalovich and George Papadatos. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry, Journal of Cheminformatics, Molecular Pharmacology and Drug Discovery Today Technologies.
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.