Molecular Systems Biology

1.3k papers and 129.8k indexed citations

About

The 1.3k papers published in Molecular Systems Biology in the last decades have received a total of 129.8k indexed citations. Papers published in Molecular Systems Biology usually cover Molecular Biology (1.2k papers), Genetics (243 papers) and Cell Biology (95 papers) specifically the topics of Gene Regulatory Network Analysis (285 papers), Bioinformatics and Genomic Networks (228 papers) and Microbial Metabolic Engineering and Bioproduction (180 papers). The most active scholars publishing in Molecular Systems Biology are Toby J. Gibson, Fabian Sievers, Julie Thompson, Weizhong Li, Desmond G. Higgins, Johannes Söding, Michael Remmert, Andreas Wilm, Hamish McWilliam and Rodrigo López.

In The Last Decade

Molecular Systems Biology

1.3k papers receiving 128.1k citations

Countries where authors publish in Molecular Systems Biology

Since Specialization
Citations

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

Fields of papers published in Molecular Systems Biology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Molecular Systems Biology. 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 Systems Biology.

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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