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Potential therapeutic drug targets and pathways prediction for premature ovarian insufficiency —Based on network pharmacologic method

Bibliographic Data

ID14740721
AuthorsShan Ju (0000-0002-5698-1691, University of Shanghai for Science and Technology, corresponding author), Jialin He (0000-0001-7509-7829, Chinese Academy of Medical Sciences & Peking Union Medical College, corresponding author), Hanbi Wang (0000-0002-8419-8645, Chinese Academy of Medical Sciences & Peking Union Medical College), Liya Yang (0000-0002-0247-2701, National Health and Family Planning Commission), AiXin Guo (Chinese Academy of Medical Sciences & Peking Union Medical College), Yiming Guo (0000-0001-8032-0685, Chinese Academy of Medical Sciences & Peking Union Medical College), Mingkang Qi (Chinese Academy of Medical Sciences & Peking Union Medical College), Huiping Wang (0000-0002-0385-4701, Chinese Academy of Medical Sciences & Peking Union Medical College, corresponding author), Lianzhong Ai (0000-0002-6681-9102, University of Shanghai for Science and Technology, corresponding author)
Year2023
Volume304
Pages116054
Publication date2023-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Ethnopharmacology (JOURNAL)
Journal identifiersISSN: 0378-8741 • E-ISSN: 1872-7573
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.jep.2022.116054
PMID36526095
OpenAlexW4313215387
LanguageEN
Citations received1
References cited31

Alternative medicine · Bioinformatics · Biology · Computational biology · Drug · Gene · Gene ontology · KEGG · Mechanism (biology · Premature ovarian insufficiency · Systems pharmacology · Traditional Chinese medicine · Traditional medicine · Endometriosis Research and Treatment · Estrogen and related hormone effects · Medicine · Reproductive System and Pregnancy · Internal Medicine · Pharmacology

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Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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