Barbara Wysoczańska

982 total citations
28 papers, 654 citations indexed

About

Barbara Wysoczańska is a scholar working on Immunology, Hematology and Physiology. According to data from OpenAlex, Barbara Wysoczańska has authored 28 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 11 papers in Hematology and 8 papers in Physiology. Recurrent topics in Barbara Wysoczańska's work include Telomeres, Telomerase, and Senescence (7 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (5 papers). Barbara Wysoczańska is often cited by papers focused on Telomeres, Telomerase, and Senescence (7 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (5 papers). Barbara Wysoczańska collaborates with scholars based in Poland, Greece and Germany. Barbara Wysoczańska's co-authors include Katarzyna Bogunia‐Kubik, Marta Dratwa, Piotr Łacina, Tomasz Kubik, Jerzy Świerkot, Andrzej Lange, Katarzyna Gębura, Milena Iwaszko, Lidia Karabon and Lucyna Korman and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Frontiers in Immunology.

In The Last Decade

Barbara Wysoczańska

26 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barbara Wysoczańska Poland 13 242 235 165 134 124 28 654
Ik‐Chan Song South Korea 17 139 0.6× 236 1.0× 237 1.4× 49 0.4× 89 0.7× 87 720
Masayasu Kitano Japan 13 119 0.5× 288 1.2× 156 0.9× 83 0.6× 31 0.3× 33 589
Francis Bonnefoy France 15 408 1.7× 152 0.6× 86 0.5× 64 0.5× 45 0.4× 29 616
Ann Lin United States 10 212 0.9× 306 1.3× 157 1.0× 28 0.2× 90 0.7× 15 662
Yingni Li China 13 337 1.4× 184 0.8× 55 0.3× 43 0.3× 112 0.9× 34 637
Miriam Koch Germany 10 278 1.1× 184 0.8× 79 0.5× 53 0.4× 50 0.4× 12 840
Min Feng China 14 165 0.7× 129 0.5× 80 0.5× 33 0.2× 72 0.6× 38 496
Daniel H. Wiseman United Kingdom 15 134 0.6× 529 2.3× 337 2.0× 43 0.3× 78 0.6× 46 854
Carl Orr Ireland 16 377 1.6× 281 1.2× 163 1.0× 37 0.3× 133 1.1× 23 1.0k
Chul‐Soo Cho South Korea 12 227 0.9× 181 0.8× 154 0.9× 24 0.2× 39 0.3× 19 602

Countries citing papers authored by Barbara Wysoczańska

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Wysoczańska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Wysoczańska

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Wysoczańska. A scholar is included among the top collaborators of Barbara Wysoczańska 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 Barbara Wysoczańska. Barbara Wysoczańska 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.
Wołowiec, Dariusz, Barbara Wysoczańska, Piotr Łacina, et al.. (2021). NF-κB1 -94del/del ATTG polymorphic variant maintains CLL at an early, mildest stage. Advances in Clinical and Experimental Medicine. 30(5). 499–506.
2.
Iwaszko, Milena, Jerzy Świerkot, Barbara Wysoczańska, et al.. (2021). Relationship Between Interleukin-6 −174G/C Genetic Variant and Efficacy of Methotrexate Treatment in Psoriatic Arthritis Patients. Pharmacogenomics and Personalized Medicine. Volume 14. 157–166. 6 indexed citations
3.
Dratwa, Marta, Barbara Wysoczańska, Aleksandra Butrym, et al.. (2021). TERT genetic variability and telomere length as factors affecting survival and risk in acute myeloid leukaemia. Scientific Reports. 11(1). 23301–23301. 10 indexed citations
4.
Dratwa, Marta, Barbara Wysoczańska, Piotr Łacina, Tomasz Kubik, & Katarzyna Bogunia‐Kubik. (2020). TERT—Regulation and Roles in Cancer Formation. Frontiers in Immunology. 11. 589929–589929. 200 indexed citations
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Iwaszko, Milena, Jerzy Świerkot, Marta Dratwa, et al.. (2020). Association of MICA-129Met/Val polymorphism with clinical outcome of anti-TNF therapy and MICA serum levels in patients with rheumatoid arthritis. The Pharmacogenomics Journal. 20(6). 760–769. 14 indexed citations
7.
Wysoczańska, Barbara, Marta Dratwa, Katarzyna Gębura, et al.. (2019). <p>Variability within the human <em>TERT</em> gene, telomere length and predisposition to chronic lymphocytic leukemia</p>. OncoTargets and Therapy. Volume 12. 4309–4320. 15 indexed citations
8.
Dratwa, Marta, Jerzy Świerkot, Lucyna Korman, et al.. (2018). Interleukin 6 gene polymorphism is associated with protein serum level and disease activity in Polish patients with rheumatoid arthritis. HLA. 92(S2). 38–41. 13 indexed citations
9.
Bogunia‐Kubik, Katarzyna, et al.. (2016). Prediction of NK Cell Licensing Level in Selection of Hematopoietic Stem Cell Donor, Initial Results. Archivum Immunologiae et Therapiae Experimentalis. 64(S1). 63–71. 8 indexed citations
10.
Bogunia‐Kubik, Katarzyna, et al.. (2016). Significance of Polymorphism and Expression of miR-146a and NFkB1 Genetic Variants in Patients with Rheumatoid Arthritis. Archivum Immunologiae et Therapiae Experimentalis. 64(S1). 131–136. 67 indexed citations
11.
Wróbel, Tomasz, Katarzyna Gębura, Barbara Wysoczańska, et al.. (2014). IL-17F gene polymorphism is associated with susceptibility to acute myeloid leukemia. Journal of Cancer Research and Clinical Oncology. 140(9). 1551–1555. 30 indexed citations
12.
Bogunia‐Kubik, Katarzyna, Jerzy Świerkot, Barbara Wysoczańska, et al.. (2014). IL-17A, IL-17F and IL-23R Gene Polymorphisms in Polish Patients with Rheumatoid Arthritis. Archivum Immunologiae et Therapiae Experimentalis. 63(3). 215–221. 68 indexed citations
13.
Wysoczańska, Barbara. (2013). Maintaining telomere length. Postępy Higieny i Medycyny Doświadczalnej. 67. 1319–1330. 7 indexed citations
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Bogunia‐Kubik, Katarzyna, Barbara Wysoczańska, & Andrzej Lange. (2006). Non-HLA Gene Polymorphisms and the Outcome of Allogeneic Hematopoietic Stem Cell Transplantation. Current Stem Cell Research & Therapy. 1(2). 239–253. 7 indexed citations
17.
Karabon, Lidia, Barbara Wysoczańska, Katarzyna Bogunia‐Kubik, Krzysztof Suchnicki, & Andrzej Lange. (2005). IL-6 and IL-10 Promoter Gene Polymorphisms of Patients and Donors of Allogeneic Sibling Hematopoietic Stem Cell Transplants Associate With the Risk of Acute Graft-Versus-Host Disease. Human Immunology. 66(6). 700–709. 55 indexed citations
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Wysoczańska, Barbara, et al.. (2003). Combined association between IFN-gamma 3,3 homozygosity and DRB1*03 in Löfgren’s syndrome patients. Immunology Letters. 91(2-3). 127–131. 14 indexed citations
20.
Dłubek, Dorota, Jarosław Dybko, Barbara Wysoczańska, et al.. (2002). Enrichment of normal progenitors in counter‐flow centrifugal elutriation (CCE) fractions of fresh chronic myeloid leukemia leukapheresis products. European Journal Of Haematology. 68(5). 281–288. 7 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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