Mutations in MERTK, the human orthologue of the RCS rat retinal dystrophy gene, cause retinitis pigmentosa
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This map shows the geographic impact of Mutations in MERTK, the human orthologue of the RCS rat retinal dystrophy gene, cause retinitis pigmentosa. 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 Mutations in MERTK, the human orthologue of the RCS rat retinal dystrophy gene, cause retinitis pigmentosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mutations in MERTK, the human orthologue of the RCS rat retinal dystrophy gene, cause retinitis pigmentosa more than expected).
Fields of papers citing Mutations in MERTK, the human orthologue of the RCS rat retinal dystrophy gene, cause retinitis pigmentosa
This network shows the impact of Mutations in MERTK, the human orthologue of the RCS rat retinal dystrophy gene, cause retinitis pigmentosa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Mutations in MERTK, the human orthologue of the RCS rat retinal dystrophy gene, cause retinitis pigmentosa.
About Mutations in MERTK, the human orthologue of the RCS rat retinal dystrophy gene, cause retinitis pigmentosa
This paper, published in 2000, received 539 indexed citations . Written by Andreas Gal, Yun Li, Debra A. Thompson, Ulrike Orth, Samuel G. Jacobson, Eckart Apfelstedt-Sylla and Douglas Vollrath covering the research area of Molecular Biology, Ophthalmology and Immunology. It is primarily cited by scholars working on Molecular Biology (411 citations), Ophthalmology (199 citations) and Immunology (144 citations).
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/10.1038/81555.