Cell Death Discovery

2.8k papers and 51.2k indexed citations

About

The 2.8k papers published in Cell Death Discovery in the last decades have received a total of 51.2k indexed citations. Papers published in Cell Death Discovery usually cover Molecular Biology (2.0k papers), Cancer Research (793 papers) and Immunology (464 papers) specifically the topics of RNA modifications and cancer (378 papers), Cancer-related molecular mechanisms research (358 papers) and Autophagy in Disease and Therapy (238 papers). The most active scholars publishing in Cell Death Discovery are Mingxia Jiang, Yanjing Li, Lisha Li, Ling Qi, Gerry Melino, Zhong Guo, John H. Kehrl, Chong-Shan Shi, Hongbo Qi and Qinjin Dai.

In The Last Decade

Cell Death Discovery

2.6k papers receiving 50.8k citations

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).

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.

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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