Pancreastatin, a novel pancreatic peptide that inhibits insulin secretion
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In The Last Decade
doi.org/10.1038/324476a0 →Countries where authors are citing Pancreastatin, a novel pancreatic peptide that inhibits insulin secretion
This map shows the geographic impact of Pancreastatin, a novel pancreatic peptide that inhibits insulin secretion. 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 Pancreastatin, a novel pancreatic peptide that inhibits insulin secretion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pancreastatin, a novel pancreatic peptide that inhibits insulin secretion more than expected).
Fields of papers citing Pancreastatin, a novel pancreatic peptide that inhibits insulin secretion
This network shows the impact of Pancreastatin, a novel pancreatic peptide that inhibits insulin secretion. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Pancreastatin, a novel pancreatic peptide that inhibits insulin secretion.
About Pancreastatin, a novel pancreatic peptide that inhibits insulin secretion
This paper, published in 1986, received 595 indexed citations . Written by Kazuhiko Tatemoto, S. Efendić, Viktor Mutt, George Makk, Gottfried J. Feistner and Jack D. Barchas covering the research area of Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. It is primarily cited by scholars working on Molecular Biology (378 citations), Cellular and Molecular Neuroscience (271 citations) and Cell Biology (210 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/10.1038/324476a0.