STAR Protocols

2.7k papers and 9.9k indexed citations i.

About

The 2.7k papers published in STAR Protocols in the last decades have received a total of 9.9k indexed citations. Papers published in STAR Protocols usually cover Molecular Biology (1.6k papers), Immunology (362 papers) and Oncology (273 papers) specifically the topics of Single-cell and spatial transcriptomics (271 papers), CRISPR and Genetic Engineering (263 papers) and Pluripotent Stem Cells Research (183 papers). The most active scholars publishing in STAR Protocols are Ido Goldstein, Meital Charni‐Natan, Takashi Kadowaki, Toshimasa Yamauchi, Gotaro Toda, Kohjiro Ueki, Xia Gu, Qiang Wan, Yuan Ma and Yi Liu.

In The Last Decade

Fields of papers published in STAR Protocols

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in STAR Protocols. 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 STAR Protocols.

Countries where authors publish in STAR Protocols

Since Specialization
Citations

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