Dominant negative mutations in human PPARγ associated with severe insulin resistance, diabetes mellitus and hypertension
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In The Last Decade
doi.org/10.1038/47254 →Countries where authors are citing Dominant negative mutations in human PPARγ associated with severe insulin resistance, diabetes mellitus and hypertension
This map shows the geographic impact of Dominant negative mutations in human PPARγ associated with severe insulin resistance, diabetes mellitus and hypertension. 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 Dominant negative mutations in human PPARγ associated with severe insulin resistance, diabetes mellitus and hypertension with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominant negative mutations in human PPARγ associated with severe insulin resistance, diabetes mellitus and hypertension more than expected).
Fields of papers citing Dominant negative mutations in human PPARγ associated with severe insulin resistance, diabetes mellitus and hypertension
This network shows the impact of Dominant negative mutations in human PPARγ associated with severe insulin resistance, diabetes mellitus and hypertension. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Dominant negative mutations in human PPARγ associated with severe insulin resistance, diabetes mellitus and hypertension.
About Dominant negative mutations in human PPARγ associated with severe insulin resistance, diabetes mellitus and hypertension
This paper, published in 1999, received 1.1k indexed citations . Written by Inês Barroso, Mark Gurnell, Vivion Crowley, Maura Agostini, John W. R. Schwabe, Maria A. Soos, G. Maslen, T D M Williams, Huckaby Lewis and Alan J. Schafer covering the research area of Molecular Biology and Biochemistry. It is primarily cited by scholars working on Molecular Biology (810 citations), Physiology (435 citations), Epidemiology (189 citations), Endocrinology, Diabetes and Metabolism (156 citations) and Genetics (156 citations). Published in Nature.
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/10.1038/47254.