The Double-Edged Sword of Autophagy Modulation in Cancer

979 indexed citations
published 2009

Impact in

Classified as

Authors
Eileen WhiteRobert S. DiPaola
Journal
Clinical Cancer Research

In The Last Decade

doi.org/10.1158/1078-0432.ccr-07-5023 →

Countries where authors are citing The Double-Edged Sword of Autophagy Modulation in Cancer

Specialization
Citations

This map shows the geographic impact of The Double-Edged Sword of Autophagy Modulation in Cancer. 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 The Double-Edged Sword of Autophagy Modulation in Cancer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The Double-Edged Sword of Autophagy Modulation in Cancer more than expected).

Fields of papers citing The Double-Edged Sword of Autophagy Modulation in Cancer

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of The Double-Edged Sword of Autophagy Modulation in Cancer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The Double-Edged Sword of Autophagy Modulation in Cancer.

About The Double-Edged Sword of Autophagy Modulation in Cancer

This paper, published in 2009, received 979 indexed citations . Written by Eileen White and Robert S. DiPaola covering the research area of Cell Biology, Epidemiology and Physiology. It is primarily cited by scholars working on Epidemiology (627 citations), Molecular Biology (531 citations), Cancer Research (166 citations), Cell Biology (127 citations) and Oncology (88 citations). Published in Clinical Cancer Research.

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.

This paper is also available at doi.org/10.1158/1078-0432.ccr-07-5023.

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