Inflammatory Markers and Risk of Type 2 Diabetes

660 indexed citations

Abstract

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About

This paper, published in 2012, received 660 indexed citations. Written by Xia Wang, Wei Bao, Jun Liu, Yingying Ouyang, Di Wang, Shuang Rong, Xiao Xiao, Zhilei Shan, Yan Zhang and Ping Yao covering the research area of Epidemiology, Oncology and Immunology. It is primarily cited by scholars working on Epidemiology (225 citations), Endocrinology, Diabetes and Metabolism (185 citations) and Physiology (147 citations). Published in Diabetes Care.

Countries where authors are citing Inflammatory Markers and Risk of Type 2 Diabetes

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This map shows the geographic impact of Inflammatory Markers and 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 Inflammatory Markers and 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 Inflammatory Markers and Risk of Type 2 Diabetes more than expected).

Fields of papers citing Inflammatory Markers and Risk of Type 2 Diabetes

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Inflammatory Markers and 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 Inflammatory Markers and Risk of Type 2 Diabetes.

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/10.2337/dc12-0702.

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