Jon Chambers

22 papers receiving 8.7k citations

Jon Chambers's Hit Papers

The ChEMBL database in 2017 2016 · 1.7k citations
1.7k0+8+17Years since publication10002.0k3.0k

Peers

Jon Chambers
Comparison fields: 5 of 165
  • Computational Theory and Mathematics 4.5k
  • Endocrine and Autonomic Systems 796
  • Pharmacology 1.4k
  • Physiology 391
  • Molecular Biology 4.8k
Replace Christopher Southan with:
Christopher Southan United Kingdom
Terry Kenakin United States
Joanna L Sharman United Kingdom
Didier Rognan France
Benjamin Weiss United States
Sally A. Frautschy United States
Chris de Graaf Netherlands
Adriaan P. IJzerman Netherlands
Paul D. Leeson United Kingdom
Steven Whitebread Switzerland
Jon Chambers relative to Christopher Southan United Kingdom Christopher Southan's profile →
Citations per field
00.5×3.8×
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 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 →
20113185
2
The ChEMBL database in 2017
Hit paper breakdown →
20161739
3
The ChEMBL bioactivity database: an update
Hit paper breakdown →
20131183
4
The endogenous lipid anandamide is a full agonist at the human vanilloid receptor (hVR1)
Hit paper breakdown →
2000668
5 1999441
6 1999290
7 2000232
8 2001202
9 2015163
10 2000148
11 2000130
12 2013126
13 2001125
14 200169
15 200167
16 200059
17 201541
18 201428
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 Physiology, having authored 23 papers that have together received 9.0k 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), Metabolomics and Mass Spectrometry Studies (3 papers), Chemokine receptors and signaling (3 papers), Regulation of Appetite and Obesity (3 papers) and Microbial Natural Products and Biosynthesis (3 papers). The work is most often cited by research in Computational Theory and Mathematics (4.5k citations), Endocrine and Autonomic Systems (796 citations), Pharmacology (1.4k citations), Physiology (391 citations) and Molecular Biology (4.8k citations). Jon Chambers has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Anne Hersey, John P. Overington, Anna Gaulton, 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, Molecular Pharmacology, Journal of Cheminformatics 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.

Explore authors with similar magnitude of impact