Journal of Molecular Graphics and Modelling

3.5k papers and 73.7k indexed citations

About

The 3.5k papers published in Journal of Molecular Graphics and Modelling in the last decades have received a total of 73.7k indexed citations. Papers published in Journal of Molecular Graphics and Modelling usually cover Molecular Biology (1.6k papers), Materials Chemistry (903 papers) and Computational Theory and Mathematics (761 papers) specifically the topics of Computational Drug Discovery Methods (757 papers), Protein Structure and Dynamics (485 papers) and Enzyme Structure and Function (209 papers). The most active scholars publishing in Journal of Molecular Graphics and Modelling are Robert Esnouf, Alexander Tropsha, Alexander Golbraikh, Anton Kokalj, Peter A. Kollman, David A. Case, Wei Wang, Junmei Wang, Feiwu Chen and Tian Lu.

In The Last Decade

Journal of Molecular Graphics and Modelling

3.4k papers receiving 72.0k citations

Fields of papers published in Journal of Molecular Graphics and Modelling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Molecular Graphics and Modelling. 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 Graphics and Modelling.

Countries where authors publish in Journal of Molecular Graphics and Modelling

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Molecular Graphics and Modelling. 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 Graphics and Modelling 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 Graphics and Modelling 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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2026