Human CNS barrier-forming organoids with cerebrospinal fluid production

298 indexed citations

Abstract

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About

This paper, published in 2020, received 298 indexed citations. Written by Laura Pellegrini, Claudia Bonfio, Jessica Chadwick, Farida Begum, Mark Skehel and Madeline A. Lancaster covering the research area of Molecular Biology, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health. It is primarily cited by scholars working on Molecular Biology (179 citations), Biomedical Engineering (72 citations) and Cellular and Molecular Neuroscience (72 citations). Published in Science.

Countries where authors are citing Human CNS barrier-forming organoids with cerebrospinal fluid production

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This map shows the geographic impact of Human CNS barrier-forming organoids with cerebrospinal fluid 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 Human CNS barrier-forming organoids with cerebrospinal fluid production with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Human CNS barrier-forming organoids with cerebrospinal fluid production more than expected).

Fields of papers citing Human CNS barrier-forming organoids with cerebrospinal fluid production

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Human CNS barrier-forming organoids with cerebrospinal fluid production. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Human CNS barrier-forming organoids with cerebrospinal fluid production.

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/10.1126/science.aaz5626.

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