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书目名称Ovarian Cancer: Molecular & Diagnostic Imaging and Treatment Strategies影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0705204<br><br> <br><br>书目名称Ovarian Cancer: Molecular & Diagnostic Imaging and Treatment Strategies影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0705204<br><br> <br><br>书目名称Ovarian Cancer: Molecular & Diagnostic Imaging and Treatment Strategies网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0705204<br><br> <br><br>书目名称Ovarian Cancer: Molecular & Diagnostic Imaging and Treatment Strategies网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0705204<br><br> <br><br>书目名称Ovarian Cancer: Molecular & Diagnostic Imaging and Treatment Strategies被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0705204<br><br> <br><br>书目名称Ovarian Cancer: Molecular & Diagnostic Imaging and Treatment Strategies被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0705204<br><br> <br><br>书目名称Ovarian Cancer: Molecular & Diagnostic Imaging and Treatment Strategies年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0705204<br><br> <br><br>书目名称Ovarian Cancer: Molecular & Diagnostic Imaging and Treatment Strategies年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0705204<br><br> <br><br>书目名称Ovarian Cancer: Molecular & Diagnostic Imaging and Treatment Strategies读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0705204<br><br> <br><br>书目名称Ovarian Cancer: Molecular & Diagnostic Imaging and Treatment Strategies读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0705204<br><br> <br><br>者变 发表于 2025-3-21 23:09:43
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Pharmacological Effects of Natural Components Against Ovarian Cancer and Mechanisms,r prevention and therapy. In this chapter, we summarize recent work on a selected group of natural components, including lignans, ellagic acid, luteolin, mangiferin, and ., which have all been demonstrated to reduce the progress of epithelial ovarian cancer in a dose-depend manner, by both in vitro阻止 发表于 2025-3-23 07:38:08
Modeling the Early Steps of Ovarian Cancer Dissemination in an Organotypic Culture of the Human Per of ovarian cancer biology in order to identify methods for preventing and treating metastatic disease. This review highlights the utility of recently developed modeling approaches, summarizes some of the resulting progress using these techniques, and suggests how these strategies may be implemented