Autophagy

4.0k papers and 231.5k indexed citations i.

About

The 4.0k papers published in Autophagy in the last decades have received a total of 231.5k indexed citations. Papers published in Autophagy usually cover Epidemiology (3.3k papers), Molecular Biology (1.9k papers) and Cell Biology (1.0k papers) specifically the topics of Autophagy in Disease and Therapy (3.2k papers), Endoplasmic Reticulum Stress and Disease (629 papers) and Cellular transport and secretion (357 papers). The most active scholars publishing in Autophagy are Daniel J. Klionsky, Noboru Mizushima, Tamotsu Yoshimori, Beth Levine, Terje Johansen, Daolin Tang, Eeva‐Liisa Eskelinen, Guido Kroemer, Trond Lamark and Rui Kang.

In The Last Decade

Fields of papers published in Autophagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Autophagy. 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 Autophagy.

Countries where authors publish in Autophagy

Since Specialization
Citations

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