Countries where authors publish in Molecular Informatics
Since Specialization
Citations
This map shows the geographic impact of research published in Molecular Informatics. 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 papers published in Molecular Informatics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Molecular Informatics more than expected).
Fields of papers published in Molecular Informatics
This network shows the impact of papers published in Molecular Informatics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Molecular Informatics.
About Molecular Informatics
The 965 papers published in Molecular Informatics in the last decades have received a total of 18.8k indexed citations . Papers published in Molecular Informatics usually cover Computational Theory and Mathematics (653 papers), Molecular Biology (591 papers), Pharmacology (127 papers), Pharmacology (54 papers) and Spectroscopy (101 papers) specifically the topics of Computational Drug Discovery Methods (647 papers), Machine Learning in Materials Science (139 papers), Protein Structure and Dynamics (129 papers), Metabolomics and Mass Spectrometry Studies (96 papers), Analytical Chemistry and Chromatography (89 papers), Bioinformatics and Genomic Networks (75 papers), Microbial Natural Products and Biosynthesis (73 papers) and Receptor Mechanisms and Signaling (66 papers). The most active scholars publishing in Molecular Informatics are Alexander Tropsha, Holger Gohlke, Nadine Homeyer, Gisbert Schneider, Alexandre Varnek, Jan A. Hiss, Jürgen Bajorath, Didier Rognan, Nathan Brown and Peter Willett.
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.