Current Opinion in Cell Biology

3.7k papers and 387.2k indexed citations i.

About

The 3.7k papers published in Current Opinion in Cell Biology in the last decades have received a total of 387.2k indexed citations. Papers published in Current Opinion in Cell Biology usually cover Molecular Biology (2.8k papers), Cell Biology (1.5k papers) and Oncology (318 papers) specifically the topics of Microtubule and mitosis dynamics (511 papers), Cellular transport and secretion (504 papers) and Cellular Mechanics and Interactions (499 papers). The most active scholars publishing in Current Opinion in Cell Biology are Toren Finkel, Masatoshi Takeichi, Kenneth M. Yamada, Graça Raposo, Jean Paul Thiery, Michael Karin, Noboru Mizushima, Melanie H. Cobb, Richard Treisman and Julian Downward.

In The Last Decade

Fields of papers published in Current Opinion in Cell Biology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Current Opinion in Cell 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 Current Opinion in Cell Biology.

Countries where authors publish in Current Opinion in Cell Biology

Since Specialization
Citations

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