日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

A novel serum-based steroid-protein panels for differentiating ovarian cancer from non-malignant adnexal masses

一种新型的基于血清的类固醇蛋白检测方法,用于鉴别卵巢癌与非恶性附件肿块。

Gjorgoska, Marija; Pirš, Boštjan; Smrkolj, Špela; Rižner, Tea Lanišnik

Site-selective arylations of nature-inspired flavonoids or steroidal phenols via C-H or O-H activation

通过CH或OH活化实现天然类黄酮或甾体酚的位点选择性芳基化

Ignácz, Rebeka; Bózsity, Noémi; Unger, Dénes; Kele, Zoltán; Zupkó, István; Hunyadi, Attila; Gjorgoska, Marija; Rižner, Tea Lanišnik; Mernyák, Erzsébet

Multi-Steroid Profiling and Machine Learning Reveal Androgens as Candidate Biomarkers for Endometrial Cancer Diagnosis: A Case-Control Study.

多类固醇分析和机器学习揭示雄激素是子宫内膜癌诊断的候选生物标志物:一项病例对照研究

Gjorgoska Marija, Taylor Angela E, Smrkolj Špela, Rižner Tea Lanišnik

Steroid sulfatase and sulfotransferases in the estrogen and androgen action of gynecological cancers: current status and perspectives

类固醇硫酸酯酶和磺基转移酶在妇科癌症雌激素和雄激素作用中的作用:现状与展望

Rižner, Tea Lanišnik; Gjorgoska, Marija