Critical Reviews in Eukaryotic Gene Expression

About

The 869 papers published in Critical Reviews in Eukaryotic Gene Expression in the last decades have received a total of 21.5k indexed citations. Papers published in Critical Reviews in Eukaryotic Gene Expression usually cover Molecular Biology (536 papers), Cancer Research (177 papers) and Oncology (134 papers) specifically the topics of Cancer-related molecular mechanisms research (95 papers), RNA modifications and cancer (78 papers) and MicroRNA in disease regulation (68 papers). The most active scholars publishing in Critical Reviews in Eukaryotic Gene Expression are Narayanan Parameswaran, Sonika Patial, Muhammad Imran Qadir, Ego Seeman, Paula Borden, Renu A. Heller, José L. Quiles, Gary H. Perdew, Timothy V. Beischlag and Brett D. Hollingshead.

In The Last Decade

Critical Reviews in Eukaryotic Gene Expression

809 papers receiving 20.1k citations

Fields of papers published in Critical Reviews in Eukaryotic Gene Expression

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Critical Reviews in Eukaryotic Gene Expression. 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 Critical Reviews in Eukaryotic Gene Expression.

Countries where authors publish in Critical Reviews in Eukaryotic Gene Expression

Since Specialization
Citations

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