Cell Stress and Chaperones

1.8k papers and 58.7k indexed citations i.

About

The 1.8k papers published in Cell Stress and Chaperones in the last decades have received a total of 58.7k indexed citations. Papers published in Cell Stress and Chaperones usually cover Molecular Biology (1.4k papers), Cell Biology (326 papers) and Physiology (249 papers) specifically the topics of Heat shock proteins research (1.1k papers), Endoplasmic Reticulum Stress and Disease (258 papers) and Physiological and biochemical adaptations (176 papers). The most active scholars publishing in Cell Stress and Chaperones are Daniel R. Ciocca, Stuart K. Calderwood, Lawrence E. Hightower, Jürgen Radons, Michael E. Cheetham, Robert M. Tanguay, Antonio De Maio, Avrom J. Caplan, Richard Voellmy and André‐Patrick Arrigo.

In The Last Decade

Fields of papers published in Cell Stress and Chaperones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Cell Stress and Chaperones. 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 Stress and Chaperones.

Countries where authors publish in Cell Stress and Chaperones

Since Specialization
Citations

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