Cell Death and Differentiation

4.8k papers and 364.5k indexed citations i.

About

The 4.8k papers published in Cell Death and Differentiation in the last decades have received a total of 364.5k indexed citations. Papers published in Cell Death and Differentiation usually cover Molecular Biology (3.7k papers), Immunology (1.0k papers) and Oncology (991 papers) specifically the topics of Cell death mechanisms and regulation (1.4k papers), Cancer-related Molecular Pathways (602 papers) and Autophagy in Disease and Therapy (572 papers). The most active scholars publishing in Cell Death and Differentiation are Sharad Kumar, Reiner U. Jänicke, Guido Kroemer, Alan G. Porter, Andreas Strasser, Peter Vandenabeele, Seiichi Oyadomari, Masataka Mori, Douglas R. Green and Moshe Oren.

In The Last Decade

Fields of papers published in Cell Death and Differentiation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Cell Death and Differentiation. 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 Death and Differentiation.

Countries where authors publish in Cell Death and Differentiation

Since Specialization
Citations

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