The knowledge domain and emerging trends in the infertility field: A 67-year retrospective study.
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| Title: | The knowledge domain and emerging trends in the infertility field: A 67-year retrospective study. |
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| Authors: | Akbari, Razieh (AUTHOR), Panahi, Zahra (AUTHOR), Ghaemi, Marjan (AUTHOR), Hantoushzadeh, Sedigheh (AUTHOR) |
| Source: | Health Care for Women International. 2025, Vol. 46 Issue 10, p1120-1150. 31p. |
| Subjects: | Social network analysis, Cluster analysis (Statistics), Infertility, Retrospective studies, Descriptive statistics, Citation analysis, Human reproductive technology, Gynecology, Thematic analysis, Bibliometrics, Obstetrics |
| Abstract: | Infertility is a significant problem influencing many couples. Our purpose was to assess the field of infertility in Obstetrics and Gynecology from 1955 to 2022 reviewing 3575 documents found in the Web of Science database. Most articles were in the areas of Reproductive Biology, Fertility, Endometriosis & Hysterectomy, and Chromosome Disorders. We found publication has increased dramatically since 1989. Agarwal, Thomas, and Sharma; United States, England, and Canada; Fertility and Sterility, Human Reproduction, and AJOG were the most-cited authors, countries, and journals, respectively. We discovered five substantive clusters: male infertility factors, female infertility factors, causes and treatment of infertility, the consequence of infertility, and assisted reproductive techniques. Using bibliometric review (Co-citation analysis) six research areas were found: semen analysis and sperm morphology, regional differences in the psychological effects of infertility, unexplained infertility, endometriosis, diagnosis and treatment of infertility, and polycystic ovary syndrome. Despite advances in understanding infertility, further research is needed. [ABSTRACT FROM AUTHOR] |
| Copyright of Health Care for Women International is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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