Journal of Molecular Modeling

6.3k papers and 95.9k indexed citations i.

About

The 6.3k papers published in Journal of Molecular Modeling in the last decades have received a total of 95.9k indexed citations. Papers published in Journal of Molecular Modeling usually cover Materials Chemistry (2.1k papers), Organic Chemistry (1.8k papers) and Molecular Biology (1.6k papers) specifically the topics of Advanced Chemical Physics Studies (708 papers), Crystallography and molecular interactions (595 papers) and Computational Drug Discovery Methods (543 papers). The most active scholars publishing in Journal of Molecular Modeling are James J. P. Stewart, Jane S. Murray, Peter Politzer, David van der Spoel, Erik Lindahl, Berk Hess, Timothy Clark, Anselm H. C. Horn, Harald Lanig and Pat Lane.

In The Last Decade

Fields of papers published in Journal of Molecular Modeling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Molecular Modeling. 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 Journal of Molecular Modeling.

Countries where authors publish in Journal of Molecular Modeling

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Molecular Modeling. 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 Journal of Molecular Modeling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Molecular Modeling 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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