Cell Cycle

7.3k papers and 263.7k indexed citations i.

About

The 7.3k papers published in Cell Cycle in the last decades have received a total of 263.7k indexed citations. Papers published in Cell Cycle usually cover Molecular Biology (5.6k papers), Oncology (2.0k papers) and Cell Biology (1.6k papers) specifically the topics of Cancer-related Molecular Pathways (1.3k papers), Microtubule and mitosis dynamics (1.2k papers) and DNA Repair Mechanisms (1.1k papers). The most active scholars publishing in Cell Cycle are Mikhail V. Blagosklonny, Michael P. Lisanti, Federica Sotgia, Ubaldo Martinez‐Outschoorn, Richard G. Pestell, Diana Whitaker‐Menezes, Anthony Howell, Gennadi V. Glinsky, Javier A. Menéndez and Guido Kroemer.

In The Last Decade

Fields of papers published in Cell Cycle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Cell Cycle. 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 Cycle.

Countries where authors publish in Cell Cycle

Since Specialization
Citations

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