Free fatty acids promote hepatic lipotoxicity by stimulating TNF-α expression via a lysosomal pathway

655 indexed citations

Abstract

loading...

About

This paper, published in 2004, received 655 indexed citations. Written by Ariel E. Feldstein, Nathan W. Werneburg, Ali Canbay, Maria Eugenia Guicciardi, Steven F. Bronk, Robert M. Rydzewski and Gregory J. Gores covering the research area of Epidemiology, Molecular Biology and Cell Biology. It is primarily cited by scholars working on Epidemiology (514 citations), Endocrinology, Diabetes and Metabolism (222 citations) and Molecular Biology (218 citations). Published in Hepatology.

Countries where authors are citing Free fatty acids promote hepatic lipotoxicity by stimulating TNF-α expression via a lysosomal pathway

Specialization
Citations

This map shows the geographic impact of Free fatty acids promote hepatic lipotoxicity by stimulating TNF-α expression via a lysosomal pathway. 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 Free fatty acids promote hepatic lipotoxicity by stimulating TNF-α expression via a lysosomal pathway with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Free fatty acids promote hepatic lipotoxicity by stimulating TNF-α expression via a lysosomal pathway more than expected).

Fields of papers citing Free fatty acids promote hepatic lipotoxicity by stimulating TNF-α expression via a lysosomal pathway

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Free fatty acids promote hepatic lipotoxicity by stimulating TNF-α expression via a lysosomal pathway. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Free fatty acids promote hepatic lipotoxicity by stimulating TNF-α expression via a lysosomal pathway.

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/10.1002/hep.20283.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026