Jon Chambers

22 papers and 7.9k indexed citations i.

About

Jon Chambers is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jon Chambers has authored 22 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jon Chambers’s work include Computational Drug Discovery Methods (9 papers), Receptor Mechanisms and Signaling (7 papers) and Neuropeptides and Animal Physiology (4 papers). Jon Chambers is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Receptor Mechanisms and Signaling (7 papers) and Neuropeptides and Animal Physiology (4 papers). Jon Chambers collaborates with scholars based in United Kingdom, United States and Norway. Jon Chambers's co-authors include Anna Gaulton, Anne Hersey, John P. Overington, Mark Davies, Louisa J. Bellis, A. Patrícia Bento, Yvonne Light, Bissan Al‐Lazikani, David Michalovich and George Papadatos and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Jon Chambers i

Fields of papers citing papers by Jon Chambers

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Jon Chambers. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jon Chambers may publish in the future.

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).

Rankless by CCL
2025