Stefan Sajdak

2.3k total citations
140 papers, 1.6k citations indexed

About

Stefan Sajdak is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Molecular Biology. According to data from OpenAlex, Stefan Sajdak has authored 140 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Reproductive Medicine, 41 papers in Obstetrics and Gynecology and 24 papers in Molecular Biology. Recurrent topics in Stefan Sajdak's work include Ovarian cancer diagnosis and treatment (44 papers), Endometrial and Cervical Cancer Treatments (23 papers) and Endometriosis Research and Treatment (17 papers). Stefan Sajdak is often cited by papers focused on Ovarian cancer diagnosis and treatment (44 papers), Endometrial and Cervical Cancer Treatments (23 papers) and Endometriosis Research and Treatment (17 papers). Stefan Sajdak collaborates with scholars based in Poland, Italy and United Kingdom. Stefan Sajdak's co-authors include Małgorzata Lewandowska, Dariusz Szpurek, Rafał Moszyński, Jan Lubiński, Barbara Więckowska, Ruth B. Phillips, Sebastian Szubert, Piotr Pawlik, Paweł P. Jagodzińśki and Janina Markowska and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Stefan Sajdak

134 papers receiving 1.5k citations

Peers

Stefan Sajdak

ONCOL

GENET

Thomas Vrekoussis Greece

Yong Shao China

H. A. Risch United States

Satoshi Ohira Japan

Ko-En Huang Taiwan

Sawako Minami Japan

Mikhail Churnosov Russia

Kazuhiro Tamura Japan

Carolyn D. Scott Australia

Giovanna Giordano Italy

Thomas Vrekoussis Greece

Stefan Sajdak

471 ×1.0

459 ×1.1

414 ×1.2

268 ×1.1

ONCOL

162 ×0.9

GENET

Citations per year, relative to Stefan Sajdak Stefan Sajdak (= 1×) peers Thomas Vrekoussis

Countries citing papers authored by Stefan Sajdak

Since Specialization

Citations

This map shows the geographic impact of Stefan Sajdak's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stefan Sajdak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Sajdak more than expected).

Fields of papers citing papers by Stefan Sajdak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Sajdak. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stefan Sajdak. The network helps show where Stefan Sajdak may publish in the future.

Co-authorship network of co-authors of Stefan Sajdak

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Sajdak. A scholar is included among the top collaborators of Stefan Sajdak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefan Sajdak. Stefan Sajdak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sajdak, Stefan, et al.. (2025). HIF1A, EPAS1, and VEGFA: angiogenesis and hypoxia-related gene expression in endometrium and endometrial epithelial tumors. Journal of Applied Genetics. 67(1). 139–153. 1 indexed citations

Mezer, Mateusz de, et al.. (2025). The role of epigallocatechin gallate (EGCG) in uterine myomas. Biomedicine & Pharmacotherapy. 189. 118345–118345.

Budny, Bartłomiej, Małgorzata Lewandowska, Katarzyna Ziemnicka, et al.. (2022). Progressing Vulvar Melanoma Caused by Instability in cKIT Juxtamembrane Domain: A Case Report and Review of Literature. Current Oncology. 29(5). 3130–3137. 2 indexed citations

Sajdak, Stefan, et al.. (2022). Differential Expression of HIF1A, EPAS1, and VEGF Genes in Benign and Malignant Ovarian Neoplasia. Cancers. 14(19). 4899–4899. 7 indexed citations

Andrusiewicz, Mirosław, et al.. (2021). Altered Expression of ESR1, ESR2, PELP1 and c-SRC Genes Is Associated with Ovarian Cancer Manifestation. International Journal of Molecular Sciences. 22(12). 6216–6216. 13 indexed citations

Markowska, Anna, Robert Jach, Andrzej Marszałek, et al.. (2019). Significance of BRCA1 expression in breast and ovarian cancer patients with brain metastasis – A multicentre study. Advances in Medical Sciences. 64(2). 235–240. 7 indexed citations

Sajdak, Stefan, et al.. (2019). Serum MCP-1 (CCL2), MCP-2 (CCL8), RANTES (CCL5), KI67, TNF-β levels in patients with benign and borderline ovarian tumours. European Journal of Gynaecological Oncology. 40(2). 278–283. 1 indexed citations

Sajdak, Stefan, Anna Markowska, Andrzej Witek, et al.. (2019). Effect of metformin on clinical-pathological variables in women with endometrial cancer. A multicenter study. European Journal of Gynaecological Oncology. 40(5). 775–780. 2 indexed citations

Markowska, Anna, Stefan Sajdak, Janina Markowska, & Adam Huczyński. (2017). Angiogenesis and cancer stem cells: New perspectives on therapy of ovarian cancer. European Journal of Medicinal Chemistry. 142. 87–94. 65 indexed citations

10.

Huczyński, Adam, et al.. (2016). Salinomycyna – przełom w leczeniu raka jajnika?. 14(3). 156–161. 1 indexed citations

11.

Słopień, Radosław, Adam Wichniak, Michał Pawlak, et al.. (2015). Disturbances of sleep continuity in women during the menopausal transition. Psychiatria Polska. 49(3). 615–623. 18 indexed citations

12.

Mostowska, Adrianna, Stefan Sajdak, Piotr Pawlik, Margarita Lianeri, & Paweł P. Jagodzińśki. (2013). Vitamin D Receptor Gene Bsm I and Fok I Polymorphisms in Relation to Ovarian Cancer Risk in the Polish Population. Genetic Testing and Molecular Biomarkers. 17(3). 183–187. 26 indexed citations

13.

Szpurek, Dariusz, et al.. (2008). [Assessment of ultrasonography markers and CA125 usefulness in the diagnosis of ovarian cysts].. PubMed. 79(12). 856–61.

14.

Huber, Juliusz, et al.. (2008). INDIVIDUALLY PLANNED FUNCTIONAL ETS AND EMG BIOFEEDBACK AND SUPRASPINAL FES STIMULATION OF PELVIC FLOOR MUSCLES IN WOMEN AFTER GYNAECOLOGICAL OPERATIONS WITH SYMPTOMS OF URINARY INCONTINENCY.

15.

Szpurek, Dariusz, et al.. (2007). [Clinical assessment of selected vascularization attributes of adnexal masses in preoperative prediction of tumor malignancy].. PubMed. 78(5). 373–7. 1 indexed citations

16.

Szpurek, Dariusz, Rafał Moszyński, Agata Smoleń, & Stefan Sajdak. (2005). Artificial neural network computer prediction of ovarian malignancy in women with adnexal masses. International Journal of Gynecology & Obstetrics. 89(2). 108–113. 19 indexed citations

17.

Sajdak, Stefan, et al.. (2003). Ifosfamide in the treatment of ovarian cancer. Contemporary Oncology/Współczesna Onkologia. 3(3). 126–128.

18.

Rzymski, Paweł, et al.. (2001). [Coexistence of female sexual organ malformation and urinary tract anomalies].. PubMed. 72(2). 67–72. 2 indexed citations

19.

Szpurek, Dariusz, Stefan Sajdak, Rafał Moszyński, & A. Roszak. (2000). Estimation of neovascularisation in hyperplasia and carcinoma of endometrium using a "power" angio-Doppler technique.. PubMed. 21(4). 405–7. 8 indexed citations

20.

Moszyński, Rafał, et al.. (2000). Estimation of blood flow in uterine arteries using transvaginal colour Doppler ultrasonography in patients with endometrial carcinoma. Nowotwory Journal of Oncology. 50(1). 35–35. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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