Molecular Cell

8.3k papers and 1.2M indexed citations i.

About

The 8.3k papers published in Molecular Cell in the last decades have received a total of 1.2M indexed citations. Papers published in Molecular Cell usually cover Molecular Biology (7.5k papers), Cell Biology (1.1k papers) and Oncology (906 papers) specifically the topics of RNA Research and Splicing (1.8k papers), Genomics and Chromatin Dynamics (1.6k papers) and RNA and protein synthesis mechanisms (1.6k papers). The most active scholars publishing in Molecular Cell are Stephen J. Elledge, Howard Y. Chang, David P. Bartel, Roy Parker, Ronald T. Hay, Alberto Ciccia, Ke Wang, Jürg Tschopp, Yigong Shi and Kevin Struhl.

In The Last Decade

Fields of papers published in Molecular Cell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Molecular Cell

Since Specialization
Citations

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