Jon Chambers

22 papers receiving 8.2k citations

Jon Chambers's Hit Papers

The ChEMBL database in 2017 2016 · 1.6k citations
1.6k0+8+17Years since publication50010001.5k2.0k2.5k

Peers

Jon Chambers
Comparison fields: 5 of 165
  • Computational Theory and Mathematics 4.3k
  • Endocrine and Autonomic Systems 785
  • Physiology 381
  • Pharmacology 1.4k
  • Molecular Biology 4.8k
Replace Christopher Southan with:
Christopher Southan United Kingdom
Terry Kenakin United States
Menelas N. Pangalos United States
Didier Rognan France
John J. Irwin United States
Chris de Graaf Netherlands
Paul D. Leeson United Kingdom
Adriaan P. IJzerman Netherlands
Weihong Song China
Benjamin Weiss United States
Jon Chambers relative to Christopher Southan United Kingdom Christopher Southan's profile →
Citations per field
00.5×3.7×
Christopher Southan · 1×
Citations per year

Countries citing papers authored by Jon Chambers

Since Specialization
Citations

This map shows the geographic impact of Jon 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 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 Chambers more than expected).

Fields of papers citing papers by Jon Chambers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon 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 Chambers. The network helps show where Jon Chambers may publish in the future.

Co-authors

The 25 scholars most cited alongside Jon Chambers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jon Chambers Line = papers co-authored together Jon Chambers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 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 →
20112947
2
The ChEMBL database in 2017
Hit paper breakdown →
20161589
3
The ChEMBL bioactivity database: an update
Hit paper breakdown →
20131117
4
The endogenous lipid anandamide is a full agonist at the human vanilloid receptor (hVR1)
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2000637
5 1999413
6 1999286
7 2000226
8 2001186
9 2015150
10 2000145
11 2000126
12 2001122
13 2013115
14 200168
15 200162
16 200056
17 201534
18 201424
19 201124
20 200214

About Jon Chambers

Jon Chambers is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 22 papers that have together received 8.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Receptor Mechanisms and Signaling (7 papers), Neuropeptides and Animal Physiology (4 papers), Adenosine and Purinergic Signaling (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 (4.3k citations), Endocrine and Autonomic Systems (785 citations), Physiology (381 citations), Pharmacology (1.4k citations) and Molecular Biology (4.8k citations). Jon Chambers has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Anna Gaulton, John P. Overington, Anne Hersey, Mark 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 Nature.

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.

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