Countries where authors publish in Cell Reports Methods
Since Specialization
Citations
This map shows the geographic impact of research published in Cell Reports Methods. 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 Reports Methods with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cell Reports Methods more than expected).
Fields of papers published in Cell Reports Methods
This network shows the impact of papers published in Cell Reports Methods. 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 Reports Methods.
About Cell Reports Methods
The 610 papers published in Cell Reports Methods in the last decades have received a total of 5.2k indexed citations . Papers published in Cell Reports Methods usually cover Biophysics (93 papers), Structural Biology (15 papers), Molecular Biology (409 papers), Aging (9 papers) and Cancer Research (55 papers) specifically the topics of Single-cell and spatial transcriptomics (127 papers), Cell Image Analysis Techniques (74 papers), CRISPR and Genetic Engineering (71 papers), Advanced Fluorescence Microscopy Techniques (46 papers), Bioinformatics and Genomic Networks (37 papers), Cancer Genomics and Diagnostics (35 papers), RNA and protein synthesis mechanisms (34 papers) and RNA modifications and cancer (33 papers). The most active scholars publishing in Cell Reports Methods are Yang Li, Chengxin Zhang, Robin Pearce, Jesse G. Meyer, Eric W. Bell, Wei Zheng, Yang Zhang, Negin Rahimzadeh, Emily Miyoshi and Samuel Morabito.
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.