Micropillar arrays as a high-throughput screening platform for therapeutics in multiple sclerosis

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This paper, published in 1950, received 432 indexed citations. Written by Feng Mei, Stephen P.J. Fancy, Yun‐An Shen, Jianqin Niu, Chao Zhao, Seonok Lee, Sonia R. Mayoral, Stephanie Redmond, Ainhoa Etxeberría and Lan Xiao covering the research area of Molecular Biology and Biophysics. It is primarily cited by scholars working on Developmental Neuroscience (267 citations), Molecular Biology (156 citations) and Neurology (150 citations). Published in Nature Medicine.

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doi.org/10.1038/nm.3618 →

Countries where authors are citing Micropillar arrays as a high-throughput screening platform for therapeutics in multiple sclerosis

Since Specialization
Citations

This map shows the geographic impact of Micropillar arrays as a high-throughput screening platform for therapeutics in multiple sclerosis. 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 Micropillar arrays as a high-throughput screening platform for therapeutics in multiple sclerosis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Micropillar arrays as a high-throughput screening platform for therapeutics in multiple sclerosis more than expected).

Fields of papers citing Micropillar arrays as a high-throughput screening platform for therapeutics in multiple sclerosis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Micropillar arrays as a high-throughput screening platform for therapeutics in multiple sclerosis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Micropillar arrays as a high-throughput screening platform for therapeutics in multiple sclerosis.

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/nm.3618.

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