Using Human iPSC-Derived Peripheral Nervous System Disease Models for Drug Discovery
Handbook of Experimental Pharmacology, ISSN: 1865-0325, Vol: 281, Page: 191-205
2023
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
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Book Chapter Description
Induced pluripotent stem cells (IPSCs), with their remarkable ability to differentiate into various cell types, including peripheral nervous system cells such as neurons and glial cells, offer an excellent platform for in vitro disease modeling. These iPSC-derived disease models have proven valuable in drug discovery, as they provide more precise simulations of a patient’s disease state and allow for the assessment of potential therapeutic effectiveness and safety.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85178498008&origin=inward; http://dx.doi.org/10.1007/164_2023_690; http://www.ncbi.nlm.nih.gov/pubmed/37815594; https://link.springer.com/10.1007/164_2023_690; https://dx.doi.org/10.1007/164_2023_690; https://link.springer.com/chapter/10.1007/164_2023_690
Springer Science and Business Media LLC
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