Iwona Wertel

2.0k total citations
75 papers, 1.1k citations indexed

About

Iwona Wertel is a scholar working on Immunology, Reproductive Medicine and Oncology. According to data from OpenAlex, Iwona Wertel has authored 75 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Immunology, 32 papers in Reproductive Medicine and 20 papers in Oncology. Recurrent topics in Iwona Wertel's work include Endometriosis Research and Treatment (18 papers), Reproductive System and Pregnancy (15 papers) and Immune Cell Function and Interaction (15 papers). Iwona Wertel is often cited by papers focused on Endometriosis Research and Treatment (18 papers), Reproductive System and Pregnancy (15 papers) and Immune Cell Function and Interaction (15 papers). Iwona Wertel collaborates with scholars based in Poland, United States and Germany. Iwona Wertel's co-authors include Jan Kotarski, Joanna Jakubowicz-Gil, Wojciech Rzeski, Ewa Langner, Grzegorz Polak, Dorota Bądziul, Wiesława Bednarek, Anna Pawłowska, Bartłomiej Barczyński and Karolina Okła and has published in prestigious journals such as Brain Research, International Journal of Molecular Sciences and Frontiers in Immunology.

In The Last Decade

Iwona Wertel

71 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Iwona Wertel Poland 20 433 336 323 306 138 75 1.1k
Xia Yuan China 14 303 0.7× 328 1.0× 253 0.8× 56 0.2× 18 0.1× 33 878
Yan Ding China 16 238 0.5× 648 1.9× 348 1.1× 56 0.2× 45 0.3× 46 1.3k
Qiang Tan China 21 185 0.4× 719 2.1× 127 0.4× 48 0.2× 101 0.7× 48 1.1k
Christoforos Thomas United States 18 84 0.2× 665 2.0× 474 1.5× 41 0.1× 33 0.2× 30 1.3k
Debra A. Tonetti United States 26 178 0.4× 935 2.8× 662 2.0× 27 0.1× 44 0.3× 57 1.7k
Joan Lewis-Wambi United States 20 141 0.3× 631 1.9× 424 1.3× 31 0.1× 25 0.2× 31 1.3k
Sabarish Ramachandran United States 18 189 0.4× 1.3k 3.8× 398 1.2× 46 0.2× 42 0.3× 37 1.9k
Ercan Çaçan Türkiye 18 147 0.3× 461 1.4× 180 0.6× 40 0.1× 9 0.1× 63 789
Wan‐Ru Chao Taiwan 18 65 0.2× 582 1.7× 133 0.4× 50 0.2× 19 0.1× 56 846
Fatemeh Karami‐Tehrani Iran 20 153 0.4× 648 1.9× 205 0.6× 31 0.1× 8 0.1× 27 1.1k

Countries citing papers authored by Iwona Wertel

Since Specialization
Citations

This map shows the geographic impact of Iwona Wertel'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 Iwona Wertel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iwona Wertel more than expected).

Fields of papers citing papers by Iwona Wertel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iwona Wertel. 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 Iwona Wertel. The network helps show where Iwona Wertel may publish in the future.

Co-authorship network of co-authors of Iwona Wertel

This figure shows the co-authorship network connecting the top 25 collaborators of Iwona Wertel. A scholar is included among the top collaborators of Iwona Wertel 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 Iwona Wertel. Iwona Wertel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Boniewska‐Bernacka, Ewa, et al.. (2024). Telomeres and telomerase in endometrial cancer and hyperplasia. Archives of Medical Science. 20(2). 682–685.
3.
Boniewska‐Bernacka, Ewa, et al.. (2024). Telomeres and SIRT1 as Biomarkers of Gamete Oxidative Stress, Fertility, and Potential IVF Outcome. International Journal of Molecular Sciences. 25(16). 8652–8652. 2 indexed citations
4.
Pawłowska, Anna, et al.. (2023). Expression of Gal-9 on Dendritic Cells and Soluble Forms of TIM-3/Gal-9 in Patients Suffering from Endometriosis. International Journal of Molecular Sciences. 24(6). 5948–5948. 9 indexed citations
5.
Pawłowska, Anna, et al.. (2023). Current Understanding on Why Ovarian Cancer Is Resistant to Immune Checkpoint Inhibitors. International Journal of Molecular Sciences. 24(13). 10859–10859. 33 indexed citations
6.
Pawłowska, Anna, et al.. (2022). The Dual Blockade of the TIGIT and PD-1/PD-L1 Pathway as a New Hope for Ovarian Cancer Patients. Cancers. 14(23). 5757–5757. 20 indexed citations
7.
Barczyński, Bartłomiej, et al.. (2022). Immunohistochemical Expression of LHRH Receptor in Different Compartments of Female Genital Tract in Patients With Endometrial Cancer. Applied immunohistochemistry & molecular morphology. 30(7). 509–516. 2 indexed citations
8.
Zając, Adrian, Ewa Langner, Iwona Wertel, et al.. (2021). Involvement of PI3K Pathway in Glioma Cell Resistance to Temozolomide Treatment. International Journal of Molecular Sciences. 22(10). 5155–5155. 28 indexed citations
9.
Zając, Adrian, Rafał Luchowski, Wiesław I. Gruszecki, et al.. (2021). Lensoside Aβ as an Adjuvant to the Anti-Glioma Potential of Sorafenib. Cancers. 13(11). 2637–2637. 4 indexed citations
10.
Jakubowicz-Gil, Joanna, et al.. (2021). The Role of Myeloid-Derived Suppressor Cells (MDSCs) in the Development and/or Progression of Endometriosis-State of the Art. Cells. 10(3). 677–677. 17 indexed citations
11.
Pawłowska, Anna, et al.. (2020). <p>Programmed Death-1 Receptor (PD-1) as a Potential Prognosis Biomarker for Ovarian Cancer Patients</p>. Cancer Management and Research. Volume 12. 9691–9709. 13 indexed citations
13.
Bobiński, Marcin, Karolina Okła, Wiesława Bednarek, et al.. (2019). The Effect of Fucoidan, a Potential New, Natural, Anti-Neoplastic Agent on Uterine Sarcomas and Carcinosarcoma Cell Lines: ENITEC Collaborative Study. Archivum Immunologiae et Therapiae Experimentalis. 67(2). 125–131. 19 indexed citations
14.
Pawłowska, Anna, et al.. (2018). The role of selected populations of immune cells in the pathogenesis of endometriosis. 16(3). 167–176. 3 indexed citations
15.
Polak, Grzegorz, Iwona Wertel, Bartłomiej Barczyński, et al.. (2013). Increased levels of oxidative stress markers in the peritoneal fluid of women with endometriosis. European Journal of Obstetrics & Gynecology and Reproductive Biology. 168(2). 187–190. 42 indexed citations
16.
Jakubowicz-Gil, Joanna, Ewa Langner, Dorota Bądziul, Iwona Wertel, & Wojciech Rzeski. (2013). Quercetin and Sorafenib as a Novel and Effective Couple in Programmed Cell Death Induction in Human Gliomas. Neurotoxicity Research. 26(1). 64–77. 47 indexed citations
17.
Bednarek, Wiesława, et al.. (2012). [Evaluation of the intracellular expression of interleukin 17 in patients with ovarian cancer].. PubMed. 83(6). 424–8. 4 indexed citations
18.
Bednarek, Wiesława, et al.. (2011). The evaluation of selected clinical and biochemical parameters in women with ovarian cancer in a 5-year observation period. 10(2). 106–113. 1 indexed citations
19.
Wertel, Iwona, et al.. (2011). Peritoneal Immune System in Patients with Advance Epithelial Ovarian Cancer. International Reviews of Immunology. 30(2-3). 87–101. 12 indexed citations
20.
Wertel, Iwona, Jacek Roliński, Marek Gogacz, Jacek Tabarkiewicz, & Jan Kotarski. (2003). [Identification of myeloid dendritic cells in peritoneal fluid by flow cytometry].. PubMed. 74(2). 116–20. 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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