Reciprocal regulation of inflammation and lipid metabolism by liver X receptors
Impact in
- Surgery 645
Classified as
- Journal
- Nature Medicine
In The Last Decade
doi.org/10.1038/nm820 →Countries where authors are citing Reciprocal regulation of inflammation and lipid metabolism by liver X receptors
This map shows the geographic impact of Reciprocal regulation of inflammation and lipid metabolism by liver X receptors. 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 Reciprocal regulation of inflammation and lipid metabolism by liver X receptors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reciprocal regulation of inflammation and lipid metabolism by liver X receptors more than expected).
Fields of papers citing Reciprocal regulation of inflammation and lipid metabolism by liver X receptors
This network shows the impact of Reciprocal regulation of inflammation and lipid metabolism by liver X receptors. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Reciprocal regulation of inflammation and lipid metabolism by liver X receptors.
About Reciprocal regulation of inflammation and lipid metabolism by liver X receptors
This paper, published in 2003, received 981 indexed citations . Written by Sean B. Joseph, Antonio Castrillo, Bryan Laffitte, David J. Mangelsdorf and Peter Tontonoz covering the research area of Molecular Biology and Surgery. It is primarily cited by scholars working on Surgery (645 citations), Molecular Biology (488 citations), Immunology (309 citations), Oncology (282 citations) and Cancer Research (130 citations). Published in Nature Medicine.
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/10.1038/nm820.