Marek Kiełbiński

1.2k total citations
23 papers, 536 citations indexed

About

Marek Kiełbiński is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Marek Kiełbiński has authored 23 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 7 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Marek Kiełbiński's work include Acute Myeloid Leukemia Research (8 papers), Vitamin D Research Studies (4 papers) and Diabetes and associated disorders (4 papers). Marek Kiełbiński is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), Vitamin D Research Studies (4 papers) and Diabetes and associated disorders (4 papers). Marek Kiełbiński collaborates with scholars based in Poland and Czechia. Marek Kiełbiński's co-authors include Ewa Marcinkowska, Elżbieta Gocek, Kazimierz Kuliczkowski, Andrzej Kutner, Sebastian Giebel, Irena Frydecka, Beata Piątkowska‐Jakubas, Jerzy Hołowiecki, Aleksander B. Skotnicki and Edyta Pawlak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and FEBS Letters.

In The Last Decade

Marek Kiełbiński

22 papers receiving 529 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marek Kiełbiński Poland 12 269 158 146 130 99 23 536
Cecilia Sheen United States 6 280 1.0× 132 0.8× 231 1.6× 176 1.4× 55 0.6× 9 569
Anna Grazia Recchia Italy 16 302 1.1× 265 1.7× 154 1.1× 79 0.6× 96 1.0× 38 653
Linda Zuurbier Netherlands 12 220 0.8× 224 1.4× 289 2.0× 60 0.5× 97 1.0× 22 571
Hai‐Rong Qiu China 13 216 0.8× 171 1.1× 60 0.4× 104 0.8× 135 1.4× 60 498
JR Downing United States 10 188 0.7× 140 0.9× 153 1.0× 83 0.6× 143 1.4× 16 472
John Hewson Australia 13 285 1.1× 265 1.7× 137 0.9× 154 1.2× 35 0.4× 19 638
Rika Kanezaki Japan 11 163 0.6× 198 1.3× 69 0.5× 68 0.5× 42 0.4× 19 387
P Lemež Czechia 10 436 1.6× 174 1.1× 276 1.9× 62 0.5× 62 0.6× 27 575
Olga Haus Poland 14 144 0.5× 236 1.5× 89 0.6× 39 0.3× 53 0.5× 85 528
Toshiya Yokozawa Japan 8 222 0.8× 281 1.8× 108 0.7× 63 0.5× 31 0.3× 17 528

Countries citing papers authored by Marek Kiełbiński

Since Specialization
Citations

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

Fields of papers citing papers by Marek Kiełbiński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Kiełbiński

This figure shows the co-authorship network connecting the top 25 collaborators of Marek Kiełbiński. A scholar is included among the top collaborators of Marek Kiełbiński 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 Marek Kiełbiński. Marek Kiełbiński 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.
Bąk, Aneta, Marek Kiełbiński, Bożena Jaźwiec, et al.. (2018). Constitutional mutations of the CHEK2 gene are a risk factor for MDS, but not for de novo AML. Leukemia Research. 70. 74–78. 21 indexed citations
2.
Paprocka, Maria, Aleksandra Bielawska‐Pohl, Joanna Rossowska, et al.. (2017). MRP1 protein expression in leukemic stem cells as a negative prognostic marker in acute myeloid leukemia patients. European Journal Of Haematology. 99(5). 415–422. 8 indexed citations
3.
Kiełbiński, Marek, Przemysław Biecek, Olga Haus, et al.. (2014). Monocytic differentiation induced by side-chain modified analogs of vitamin D in ex vivo cells from patients with acute myeloid leukemia. Leukemia Research. 38(5). 638–647. 21 indexed citations
4.
Kiełbiński, Marek, et al.. (2013). Autofagia – proces o dwóch obliczach. Acta Haematologica Polonica. 44(4). 383–391. 5 indexed citations
5.
Karabon, Lidia, Anna Tomkiewicz, Dariusz Wołowiec, et al.. (2011). ICOS gene polymorphisms in B-cell chronic lymphocytic leukemia in the Polish population. SHILAP Revista de lepidopterología. 1 indexed citations
6.
Karabon, Lidia, Edyta Pawlak, Anna Tomkiewicz, et al.. (2011). Variations in Suppressor Molecule CTLA-4 Gene Are Related to Susceptibility to Multiple Myeloma in a Polish Population. Pathology & Oncology Research. 18(2). 219–226. 31 indexed citations
7.
Karabon, Lidia, Sebastian Giebel, Dariusz Wołowiec, et al.. (2011). KIR/HLA gene combinations influence susceptibility to B‐cell chronic lymphocytic leukemia and the clinical course of disease. Tissue Antigens. 78(2). 129–138. 31 indexed citations
8.
Kłopot, Anna, et al.. (2011). Structure–function analysis of vitamin D2 analogs as potential inducers of leukemia differentiation and inhibitors of prostate cancer proliferation. The Journal of Steroid Biochemistry and Molecular Biology. 126(1-2). 46–54. 27 indexed citations
9.
Karabon, Lidia, Anna Tomkiewicz, Dariusz Wołowiec, et al.. (2011). <i>ICOS</i> gene polymorphisms in B-cell chronic lymphocytic leukemia in the Polish population. Folia Histochemica et Cytobiologica. 49(1). 49–54. 8 indexed citations
10.
Frydecka, Irena, Lidia Karabon, Anna Tomkiewicz, et al.. (2010). ICOS Gene Polymorphisms In B-Cell Chronic Lymphocytic Leukemia In a Polish Population.. Blood. 116(21). 4614–4614.
11.
Gocek, Elżbieta, et al.. (2009). Different susceptibilities to 1,25-dihydroxyvitamin D3-induced differentiation of AML cells carrying various mutations. Leukemia Research. 34(5). 649–657. 27 indexed citations
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13.
Kuliszkiewicz-Janus, M, et al.. (2008). 31P MRS analysis of the phospholipid composition of the peripheral blood mononuclear cells (PBMC) and bone marrow mononuclear cells (BMMC) of patients with acute leukemia (AL). Cellular & Molecular Biology Letters. 14(1). 35–45. 10 indexed citations
14.
Hołowiecki, Jerzy, Małgorzata Krawczyk‐Kuliś, Sebastian Giebel, et al.. (2008). Status of minimal residual disease after induction predicts outcome in both standard and high‐risk Ph‐negative adult acute lymphoblastic leukaemia. The Polish Adult Leukemia Group ALL 4‐2002 MRD Study. British Journal of Haematology. 142(2). 227–237. 102 indexed citations
15.
Gocek, Elżbieta, Marek Kiełbiński, & Ewa Marcinkowska. (2007). Activation of intracellular signaling pathways is necessary for an increase in VDR expression and its nuclear translocation. FEBS Letters. 581(9). 1751–1757. 45 indexed citations
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18.
Skoczyńska, Anna, et al.. (2007). Acute iron poisoning in adult female. Human & Experimental Toxicology. 26(8). 663–666. 13 indexed citations
19.
Podolak‐Dawidziak, Maria, Danuta Duś, Marek Kiełbiński, et al.. (2006). Clinical Relevance of Multidrug Resistance Proteins Expression in Patients with De Novo Acute Myeloid Leukaemia.. Blood. 108(11). 4363–4363. 2 indexed citations
20.
Pawlak, Edyta, et al.. (2005). The soluble CTLA-4 receptor: a new marker in autoimmune diseases.. PubMed. 53(4). 336–41. 40 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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