Positional cloning of the mouse obese gene and its human homologue
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- Nature
In The Last Decade
doi.org/10.1038/372425a0 →Countries where authors are citing Positional cloning of the mouse obese gene and its human homologue
This map shows the geographic impact of Positional cloning of the mouse obese gene and its human homologue. 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 Positional cloning of the mouse obese gene and its human homologue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Positional cloning of the mouse obese gene and its human homologue more than expected).
Fields of papers citing Positional cloning of the mouse obese gene and its human homologue
This network shows the impact of Positional cloning of the mouse obese gene and its human homologue. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Positional cloning of the mouse obese gene and its human homologue.
About Positional cloning of the mouse obese gene and its human homologue
This paper, published in 1994, received 10.5k indexed citations . Written by Yiying Zhang, Margherita Maffei, Marisa Barone and Jeffrey M. Friedman covering the research area of Genetics, Physiology and Surgery. It is primarily cited by scholars working on Endocrine and Autonomic Systems (7.1k citations), Physiology (5.0k citations) and Epidemiology (4.1k 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/10.1038/372425a0.