BMC Systems Biology

2.0k papers and 60.7k indexed citations i.

About

The 2.0k papers published in BMC Systems Biology in the last decades have received a total of 60.7k indexed citations. Papers published in BMC Systems Biology usually cover Molecular Biology (1.7k papers), Computational Theory and Mathematics (236 papers) and Genetics (222 papers) specifically the topics of Bioinformatics and Genomic Networks (714 papers), Gene Regulatory Network Analysis (671 papers) and Metabolic Engineering and Synthetic Biology (525 papers). The most active scholars publishing in BMC Systems Biology are Bernhard Ø. Palsson, Shu-Hwa Chen, Ming‐Tat Ko, Chin-Wen Ho, Chung‐Yen Lin, Steve Horvath, Julio R. Banga, Peter Langfelder, Joshua A. Lerman and Jens Nielsen.

In The Last Decade

Fields of papers published in BMC Systems Biology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in BMC Systems Biology

Since Specialization
Citations

This map shows the geographic impact of research published in BMC 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 BMC 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 BMC Systems Biology 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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