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    Bibliometric analysis can analyze development trends and predict research hotspots. We used these analyses to better understand the pregnancy-related implications of thyroid diseases. Publications on thyroid diseases during pregnancy from 1926 to hitherto were retrieved based on the Web of Science database. The publications and references, the institutions and countries, the journals, the keywords and citations were analyzed by utilizing VOSviewer, CiteSpace and Cit- NetExplorer. A total of 3310 publications were retrieved and were cited 87913 times. The United States took the dominant position in outputs and collaborations. Harvard University had the most articles 86, which also had the highest h-index 30. Thyroid ranked first with 201 publications and Journal of Clinical Endocrinology Metabolism had the highest h-index 67. Among the 49 burst keywords, "antibody" had the longest burst period from 1991 to 2012, "thyroxine" had the strongest burst strength 16.7026, "hypothyroxinemia" appeared most recently in 2018. The most frequent keyword was "pregnancy" which occurred 1324 times. All the top 98 frequent keywords were clustered into 4 clusters. The citation network visualization was grouped into 8 groups. The research focus of thyroid diseases in pregnancy ranged from clinical thyroid dysfunction to milder thyroid dysfunction. Guidelines published by the American Thyroid Association enacted a crucial purpose in the treatment and development of thyroid diseases during pregnancy. Some randomized controlled studies of unresolved problems and long-term follow-up of offspring may be the direction of future research. In the meantime, bibliometric methods can help scholars choose journals, track research hotspots, and identify the direction or focus of future research. Copyright© Bentham Science Publishers; For any queries, please email at


    Ning Yuan, Li Wang, Zhi Li, Xiaomei Zhang. Thyroid Diseases During Pregnancy: Bibliometric Analysis of Scientific Publications. Endocrine, metabolic & immune disorders drug targets. 2022;22(2):247-258

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    PMID: 33538681

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