Regulation of insulin synthesis and secretion and pancreatic Beta-cell dysfunction in diabetes.
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doi.org/w9140306 →Countries where authors are citing Regulation of insulin synthesis and secretion and pancreatic Beta-cell dysfunction in diabetes.
This map shows the geographic impact of Regulation of insulin synthesis and secretion and pancreatic Beta-cell dysfunction in 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 Regulation of insulin synthesis and secretion and pancreatic Beta-cell dysfunction in diabetes. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Regulation of insulin synthesis and secretion and pancreatic Beta-cell dysfunction in diabetes. more than expected).
Fields of papers citing Regulation of insulin synthesis and secretion and pancreatic Beta-cell dysfunction in diabetes.
This network shows the impact of Regulation of insulin synthesis and secretion and pancreatic Beta-cell dysfunction in diabetes.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Regulation of insulin synthesis and secretion and pancreatic Beta-cell dysfunction in diabetes..
About Regulation of insulin synthesis and secretion and pancreatic Beta-cell dysfunction in diabetes.
This paper, published in 2013, received 483 indexed citations . Written by Zhuo Fu, Elizabeth R. Gilbert and Dongmin Liu covering the research area of Genetics, Surgery and Endocrinology, Diabetes and Metabolism. It is primarily cited by scholars working on Surgery (211 citations), Molecular Biology (193 citations) and Endocrinology, Diabetes and Metabolism (167 citations). Published in PubMed.
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/w9140306.