Critical Reviews in Biochemistry and Molecular Biology · 1×
×0.540k/73kMB
×1.2929/795AGING
×3.03k/959BIOPH
×0.96k/7kCR
×1.16k/6kIMMUN
Citations per year
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Countries where authors publish in Cell Systems
Since Specialization
Citations
This map shows the geographic impact of research published in Cell Systems. 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 Cell Systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cell Systems more than expected).
This network shows the impact of papers published in Cell Systems. 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 Cell Systems.
About Cell Systems
The 1.2k papers published in Cell Systems in the last decades have received a total of 65.1k indexed citations . Papers published in Cell Systems usually cover Aging (34 papers), Biophysics (107 papers), Molecular Biology (926 papers), Cancer Research (83 papers) and Genetics (139 papers) specifically the topics of Gene Regulatory Network Analysis (213 papers), Single-cell and spatial transcriptomics (193 papers), Bioinformatics and Genomic Networks (127 papers), RNA and protein synthesis mechanisms (120 papers), Cell Image Analysis Techniques (97 papers), CRISPR and Genetic Engineering (95 papers), Genomics and Chromatin Dynamics (86 papers) and Microbial Metabolic Engineering and Bioproduction (77 papers). The most active scholars publishing in Cell Systems are Jill P. Mesirov, Helga Thorvaldsdóttir, Pablo Tamayo, Chet Birger, Mahmoud Ghandi, Arthur Liberzon, Zev J. Gartner, Christopher S. McGinnis, Lyndsay M. Murrow and Allon Moshe Klein.
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.