Cell Death Discovery

2.7k papers and 46.4k indexed citations
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About

The 2.7k papers published in Cell Death Discovery in the last decades have received a total of 46.4k indexed citations. Papers published in Cell Death Discovery usually cover Molecular Biology (1.9k papers), Cancer Research (769 papers) and Immunology (449 papers) specifically the topics of RNA modifications and cancer (360 papers), Cancer-related molecular mechanisms research (350 papers) and Autophagy in Disease and Therapy (233 papers). The most active scholars publishing in Cell Death Discovery are Lisha Li, Mingxia Jiang, Yanjing Li, Ling Qi, Gerry Melino, John H. Kehrl, Chong-Shan Shi, Zhong Guo, Qinjin Dai and Hongbo Qi.

In The Last Decade

Cell Death Discovery

2.4k papers receiving 44.2k citations

Fields of papers published in Cell Death Discovery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Cell Death Discovery

Since Specialization
Citations

This map shows the geographic impact of research published in Cell Death Discovery. 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 Discovery 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 Discovery 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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