Cloning and characterization of a mammalian proton-coupled metal-ion transporter
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In The Last Decade
doi.org/10.1038/41343 →Countries where authors are citing Cloning and characterization of a mammalian proton-coupled metal-ion transporter
This map shows the geographic impact of Cloning and characterization of a mammalian proton-coupled metal-ion transporter. 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 Cloning and characterization of a mammalian proton-coupled metal-ion transporter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cloning and characterization of a mammalian proton-coupled metal-ion transporter more than expected).
Fields of papers citing Cloning and characterization of a mammalian proton-coupled metal-ion transporter
This network shows the impact of Cloning and characterization of a mammalian proton-coupled metal-ion transporter. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Cloning and characterization of a mammalian proton-coupled metal-ion transporter.
About Cloning and characterization of a mammalian proton-coupled metal-ion transporter
This paper, published in 1997, received 2.6k indexed citations . Written by Hiromi Gunshin, Bryan Mackenzie, Urs V. Berger, Michael F. Romero, Walter F. Boron, Stephan Nußberger, John L. Gollan and Matthias A. Hediger covering the research area of Molecular Biology, Nutrition and Dietetics and Hematology. It is primarily cited by scholars working on Nutrition and Dietetics (1.8k citations), Hematology (1.7k citations) and Health, Toxicology and Mutagenesis (769 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/10.1038/41343.