Hypothalamic insulin signaling is required for inhibition of glucose production
- Journal
- Nature Medicine
In The Last Decade
doi.org/10.1038/nm1202-798 →Countries where authors are citing Hypothalamic insulin signaling is required for inhibition of glucose production
This map shows the geographic impact of Hypothalamic insulin signaling is required for inhibition of glucose production. 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 Hypothalamic insulin signaling is required for inhibition of glucose production with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hypothalamic insulin signaling is required for inhibition of glucose production more than expected).
Fields of papers citing Hypothalamic insulin signaling is required for inhibition of glucose production
This network shows the impact of Hypothalamic insulin signaling is required for inhibition of glucose production. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Hypothalamic insulin signaling is required for inhibition of glucose production.
About Hypothalamic insulin signaling is required for inhibition of glucose production
This paper, published in 2002, received 697 indexed citations . Written by Silvana Obici, Bei B. Zhang, George B. Karkanias and Luciano Rossetti covering the research area of Nutrition and Dietetics, Surgery and Endocrine and Autonomic Systems. It is primarily cited by scholars working on Endocrine and Autonomic Systems (431 citations), Physiology (323 citations) and Surgery (228 citations). Published in Nature Medicine.
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/nm1202-798.