Journal of Cheminformatics
About
The 1.3k papers published in Journal of Cheminformatics in the last decades have received a total of 57.8k indexed citations.
Papers published in Journal of Cheminformatics usually cover Computational Theory and Mathematics (972 papers), Molecular Biology (848 papers) and Materials Chemistry (394 papers) specifically the topics of Computational Drug Discovery Methods (967 papers), Machine Learning in Materials Science (343 papers) and Protein Structure and Dynamics (225 papers). The most active scholars publishing in Journal of Cheminformatics are Geoffrey Hutchison, Noel M. O’Boyle, Marcus D. Hanwell, Donald Curtis, David Lonie, Eva Zurek, Craig A. James, Peter Ertl, Ansgar Schuffenhauer and Ola Engkvist.
In The Last Decade
Fields of papers published in Journal of Cheminformatics
Since SpecializationEngineeringComputer 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 published in Journal of Cheminformatics. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Journal of Cheminformatics
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Journal of Cheminformatics. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers published in Journal of Cheminformatics with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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