The common PPARγ Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes
- Journal
- Nature Genetics
In The Last Decade
doi.org/10.1038/79216 →Countries where authors are citing The common PPARγ Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes
This map shows the geographic impact of The common PPARγ Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes. 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 common PPARγ Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The common PPARγ Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes more than expected).
Fields of papers citing The common PPARγ Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes
This network shows the impact of The common PPARγ Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The common PPARγ Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes.
About The common PPARγ Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes
This paper, published in 2000, received 1.3k indexed citations . Written by David Altshuler, Joel N. Hirschhorn, Mia Klannemark, Cecilia M. Lindgren, Marie‐Claude Vohl, James Nemesh, Charles R. Lane, S. F. Schaffner, Stacey Bolk and Carl G. Brewer covering the research area of Molecular Biology and Physiology. It is primarily cited by scholars working on Molecular Biology (802 citations), Genetics (529 citations) and Physiology (385 citations). Published in Nature Genetics.
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/10.1038/79216.