Progress in Lipid Research

1.1k papers and 120.8k indexed citations i.

About

The 1.1k papers published in Progress in Lipid Research in the last decades have received a total of 120.8k indexed citations. Papers published in Progress in Lipid Research usually cover Molecular Biology (587 papers), Biochemistry (348 papers) and Nutrition and Dietetics (281 papers) specifically the topics of Fatty Acid Research and Health (244 papers), Lipid metabolism and biosynthesis (235 papers) and Peroxisome Proliferator-Activated Receptors (135 papers). The most active scholars publishing in Progress in Lipid Research are E. N. Frankel, Denis J. Murphy, Paul D. Fraser, Kôji Uchida, Henna Ohvo-Rekilä, Rodolfo R. Brenner, J. R. Hazel, John L. Harwood, Ljerka Kunst and Rosalind Coleman.

In The Last Decade

Fields of papers published in Progress in Lipid Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Progress in Lipid Research. 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 Progress in Lipid Research.

Countries where authors publish in Progress in Lipid Research

Since Specialization
Citations

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