Molecular Informatics

938 papers and 16.6k indexed citations i.

About

The 938 papers published in Molecular Informatics in the last decades have received a total of 16.6k indexed citations. Papers published in Molecular Informatics usually cover Computational Theory and Mathematics (638 papers), Molecular Biology (582 papers) and Materials Chemistry (159 papers) specifically the topics of Computational Drug Discovery Methods (633 papers), Machine Learning in Materials Science (137 papers) and Protein Structure and Dynamics (129 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 Igor I. Baskin.

In The Last Decade

Fields of papers published in Molecular Informatics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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).

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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