Tomasz Ślebioda

838 total citations
25 papers, 662 citations indexed

About

Tomasz Ślebioda is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Tomasz Ślebioda has authored 25 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 6 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Tomasz Ślebioda's work include Immune Cell Function and Interaction (6 papers), Immune Response and Inflammation (5 papers) and Inflammatory Bowel Disease (4 papers). Tomasz Ślebioda is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Immune Response and Inflammation (5 papers) and Inflammatory Bowel Disease (4 papers). Tomasz Ślebioda collaborates with scholars based in Poland, United States and United Kingdom. Tomasz Ślebioda's co-authors include Zbigniew Kmieć, Aymen Al‐Shamkhani, Vadim Y. Taraban, Eddie C. Y. Wang, Tania F. Rowley, Sarah L. Buchan, Jane E. Willoughby, Piotr Wierzbicki, Kamila Siedlecka-Kroplewska and Claudia J. Calder and has published in prestigious journals such as The Journal of Experimental Medicine, International Journal of Molecular Sciences and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Tomasz Ślebioda

23 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomasz Ślebioda Poland 14 323 225 170 98 73 25 662
Huimin Chen China 13 282 0.9× 255 1.1× 83 0.5× 109 1.1× 97 1.3× 18 595
Xuemin Qiu China 17 299 0.9× 305 1.4× 87 0.5× 87 0.9× 111 1.5× 47 846
Youxian Li Japan 8 247 0.8× 185 0.8× 69 0.4× 103 1.1× 89 1.2× 10 667
Yin‐Hu Wang United States 17 353 1.1× 192 0.9× 72 0.4× 99 1.0× 47 0.6× 34 755
Yuhan Meng China 20 438 1.4× 222 1.0× 45 0.3× 110 1.1× 102 1.4× 42 903
Jezabel Varadé Spain 16 291 0.9× 152 0.7× 118 0.7× 78 0.8× 31 0.4× 27 667
Norihisa Nishimichi Japan 14 245 0.8× 206 0.9× 88 0.5× 45 0.5× 34 0.5× 24 614
Leilei Fang China 13 373 1.2× 386 1.7× 275 1.6× 61 0.6× 212 2.9× 22 883
Raquel Gómez-Bris Spain 6 300 0.9× 251 1.1× 253 1.5× 62 0.6× 39 0.5× 9 709
Thiago A. Patente Brazil 13 369 1.1× 270 1.2× 64 0.4× 126 1.3× 43 0.6× 26 754

Countries citing papers authored by Tomasz Ślebioda

Since Specialization
Citations

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

Fields of papers citing papers by Tomasz Ślebioda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomasz Ślebioda

This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Ślebioda. A scholar is included among the top collaborators of Tomasz Ślebioda 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 Tomasz Ślebioda. Tomasz Ślebioda 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
1.
2.
Nowicka, Zuzanna, et al.. (2024). Changes in Systemic Immune Response and Its Dosimetric Correlates in Patients with Non-Small-Cell Lung Cancer Treated with Stereotactic Body Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 120(2). e392–e393. 1 indexed citations
3.
Proczko-Stepaniak, Monika, et al.. (2024). Changes in adipokine levels following bariatric surgery: Implications for metabolic health. Clinical Nutrition ESPEN. 63. 1126–1127. 1 indexed citations
4.
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Żurawa‐Janicka, Dorota, Jarek Kobiela, Tomasz Ślebioda, et al.. (2020). Expression of HTRA Genes and Its Association with Microsatellite Instability and Survival of Patients with Colorectal Cancer. International Journal of Molecular Sciences. 21(11). 3947–3947. 9 indexed citations
6.
Siedlecka-Kroplewska, Kamila, Tomasz Ślebioda, & Zbigniew Kmieć. (2019). Induction of autophagy, apoptosis and aquisition of resistance in response to piceatannol toxicity in MOLT-4 human leukemia cells. Toxicology in Vitro. 59. 12–25. 17 indexed citations
7.
Ślebioda, Tomasz, Piotr Wierzbicki, Dorota Żurawa‐Janicka, et al.. (2019). Distinct Expression Patterns of Two Tumor Necrosis Factor Superfamily Member 15 Gene Isoforms in Human Colon Cancer. Digestive Diseases and Sciences. 64(7). 1857–1867. 8 indexed citations
8.
Kaszubowska, Lucyna, et al.. (2018). NK cells of the oldest seniors represent constant and resistant to stimulation high expression of cellular protective proteins SIRT1 and HSP70. Immunity & Ageing. 15(1). 12–12. 14 indexed citations
9.
Kmieć, Zbigniew, et al.. (2017). Cells of the innate and adaptive immunity and their interactions in inflammatory bowel disease. Advances in Medical Sciences. 62(1). 1–16. 111 indexed citations
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Piotrowska, Anna, Justyna Wierzbicka, Tomasz Ślebioda, et al.. (2016). Vitamin D derivatives enhance cytotoxic effects of H2O2 or cisplatin on human keratinocytes. Steroids. 110. 49–61. 40 indexed citations
13.
Ślebioda, Tomasz, Agnieszka Bojarska−Junak, Piotr Landowski, et al.. (2016). Expression of death receptor 3 on peripheral blood mononuclear cells differes in adult IBD patients and children with newly diagnosed IBD. Cytometry Part B Clinical Cytometry. 92(2). 165–169. 11 indexed citations
14.
Wierzbicki, Piotr, et al.. (2015). Decreased expression of RASSF1A tumor suppressor gene is associated with worse prognosis in clear cell renal cell carcinoma. International Journal of Oncology. 48(1). 55–66. 21 indexed citations
15.
Kaszubowska, Lucyna, et al.. (2015). Optimal reference genes for qPCR in resting and activated human NK cells—Flow cytometric data correspond to qPCR gene expression analysis. Journal of Immunological Methods. 422. 125–129. 11 indexed citations
16.
Wierzbicki, Piotr, Tomasz Ślebioda, Agata Wrońska, et al.. (2014). Identification of a suitable qPCR reference gene in metastatic clear cell renal cell carcinoma. Tumor Biology. 35(12). 12473–12487. 20 indexed citations
17.
Ślebioda, Tomasz & Zbigniew Kmieć. (2014). Tumour Necrosis Factor Superfamily Members in the Pathogenesis of Inflammatory Bowel Disease. Mediators of Inflammation. 2014. 1–15. 77 indexed citations
18.
Ślebioda, Tomasz, Tania F. Rowley, John R. Ferdinand, et al.. (2011). Triggering of TNFRSF25 promotes CD8+ T‐cell responses and anti‐tumor immunity. European Journal of Immunology. 41(9). 2606–2611. 52 indexed citations
19.
Taraban, Vadim Y., Tomasz Ślebioda, Jane E. Willoughby, et al.. (2010). Sustained TL1A expression modulates effector and regulatory T-cell responses and drives intestinal goblet cell hyperplasia. Mucosal Immunology. 4(2). 186–196. 75 indexed citations
20.
Bull, Melanie, Anwen S. Williams, Claudia J. Calder, et al.. (2008). The Death Receptor 3–TNF-like protein 1A pathway drives adverse bone pathology in inflammatory arthritis. The Journal of Experimental Medicine. 205(11). 2457–2464. 96 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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