Cell Discovery

659 papers and 25.7k indexed citations
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About

The 659 papers published in Cell Discovery in the last decades have received a total of 25.7k indexed citations. Papers published in Cell Discovery usually cover Molecular Biology (450 papers), Immunology (89 papers) and Cancer Research (79 papers) specifically the topics of RNA modifications and cancer (63 papers), Epigenetics and DNA Methylation (62 papers) and CRISPR and Genetic Engineering (56 papers). The most active scholars publishing in Cell Discovery are Noboru Mizushima, Willa Wen‐You Yim, Danping Zheng, Eran Elinav, Timur Liwinski, William R. Martin, Yadi Zhou, Feixiong Cheng, Yin Huang and Jiayu Shen.

In The Last Decade

Cell Discovery

634 papers receiving 24.8k citations

Fields of papers published in Cell Discovery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Cell Discovery

Since Specialization
Citations

This map shows the geographic impact of research published in Cell 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 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 Discovery more than expected).

CRISPR-Cas12a-assisted nucleic acid detection 2018 2026 2020 2023 1.1k
  1. CRISPR-Cas12a-assisted nucleic acid detection (2018)

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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