M Wasik

1.1k total citations
64 papers, 765 citations indexed

About

M Wasik is a scholar working on Immunology, Physiology and Epidemiology. According to data from OpenAlex, M Wasik has authored 64 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 12 papers in Physiology and 10 papers in Epidemiology. Recurrent topics in M Wasik's work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (8 papers) and Regulation of Appetite and Obesity (7 papers). M Wasik is often cited by papers focused on Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (8 papers) and Regulation of Appetite and Obesity (7 papers). M Wasik collaborates with scholars based in Poland, United States and United Kingdom. M Wasik's co-authors include Elżbieta Górska, Anna Kucharská, Katarzyna Popko, Andrzej Górski, Anna Stelmaszczyk‐Emmel, Urszula Demkow, Olga Ciepiela, Sławomir Majewski, M Nowaczyk and G Korczak-Kowalska and has published in prestigious journals such as Blood, PLoS ONE and The FASEB Journal.

In The Last Decade

M Wasik

61 papers receiving 732 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Wasik Poland 16 213 168 143 127 112 64 765
Keisuke Tanaka Japan 19 183 0.9× 148 0.9× 88 0.6× 48 0.4× 217 1.9× 70 938
E. Schauer Austria 5 209 1.0× 82 0.5× 77 0.5× 80 0.6× 87 0.8× 6 687
Nicholas Jones United Kingdom 16 333 1.6× 149 0.9× 109 0.8× 52 0.4× 203 1.8× 39 830
Joseph A. Sennello United States 17 277 1.3× 349 2.1× 130 0.9× 114 0.9× 452 4.0× 20 1.1k
Chang‐Chun Hsiao Taiwan 23 249 1.2× 221 1.3× 193 1.3× 87 0.7× 481 4.3× 86 1.4k
Chien‐Chung Huang Taiwan 23 192 0.9× 147 0.9× 111 0.8× 77 0.6× 482 4.3× 46 1.2k
Banu Bozkurt Türkiye 25 112 0.5× 142 0.8× 150 1.0× 40 0.3× 220 2.0× 123 1.7k
Bernhard Gerstmayer Germany 18 241 1.1× 68 0.4× 74 0.5× 58 0.5× 290 2.6× 29 803
Stéphane Perrier United Kingdom 13 184 0.9× 214 1.3× 187 1.3× 70 0.6× 329 2.9× 19 858
Keiko Danzaki Japan 12 350 1.6× 221 1.3× 107 0.7× 33 0.3× 251 2.2× 20 849

Countries citing papers authored by M Wasik

Since Specialization
Citations

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

Fields of papers citing papers by M Wasik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Wasik

This figure shows the co-authorship network connecting the top 25 collaborators of M Wasik. A scholar is included among the top collaborators of M Wasik 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 M Wasik. M Wasik 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.
Magalska, Adriana, Katarzyna Piwocka, Piotr Szymański, et al.. (2014). Low Interleukin - 8 Level Predicts the Occurrence of the Postpericardiotomy Syndrome. PLoS ONE. 9(10). e108822–e108822. 15 indexed citations
2.
Wasik, M, et al.. (2013). Experimental immunology<br>Differences in the expression of leptin receptors on bone marrow and peripheral blood cells. Central European Journal of Immunology. 37(4). 332–337. 3 indexed citations
3.
Hryniewiecki, Tomasz, et al.. (2012). Clinical immunology Changes in the serum interleukin-8 concentration after coronary by-pass surgery predict the occurrence of the post-cardiac injury syndrome. Central European Journal of Immunology. 37(2). 154–158. 1 indexed citations
4.
Wasik, M, et al.. (2011). Experimental immunology Quantitative and qualitative evaluation of platelets-derived microvesicles. Central European Journal of Immunology. 36(3). 163–169. 1 indexed citations
5.
Stelmaszczyk‐Emmel, Anna, et al.. (2011). Identification, frequency, activation and function of CD4+ CD25highFoxP3+ regulatory T cells in children with juvenile idiopathic arthritis. Rheumatology International. 32(5). 1147–1154. 17 indexed citations
6.
Popko, Katarzyna, Elżbieta Górska, Anna Stokłosa, et al.. (2010). Clinical immunology The influence of IL-6 and TNF-α genes promoter region polymorphisms (G174C – IL-6 and G308A – TNF-α) on the level of cytokines in obese and normal weight subjects. Central European Journal of Immunology. 35(1). 31–36. 1 indexed citations
7.
Ciepiela, Olga, et al.. (2010). Sublingual immunotherapy in asthma does not influence lymphocyte sensitivity to fas stimulation. European journal of medical research. 15(S2). 17–20. 2 indexed citations
8.
Zawadzka‐Krajewska, Anna, et al.. (2010). Lymphocytes sensitivity to Fas stimulation in healthy and asthmatic children.. Folia Histochemica et Cytobiologica. 47(4). 647–51. 2 indexed citations
9.
Górska, Elżbieta, Katarzyna Popko, Anna Stelmaszczyk‐Emmel, et al.. (2010). Leptin receptors. European journal of medical research. 15(S2). 50–4. 143 indexed citations
10.
Pyrżak, Beata, et al.. (2009). No association of LEPR Gln223Arg polymorphism with leptin, obesity or metabolic disturbances in children. European journal of medical research. 14(Suppl 4). 201–201. 30 indexed citations
11.
Mierzwińska‐Nastalska, Elżbieta, et al.. (2008). Clinical immunology Analysis of genetic polymorphisms of the interleukin-1 gene in the implantoprosthetic group of patients – preliminary studies. Central European Journal of Immunology. 33(2). 74–77. 3 indexed citations
12.
Popko, Katarzyna, et al.. (2004). Changes in intracellular calcium free and calcium stored balance in children granulocytes after stimulation. Preliminary results. Central European Journal of Immunology. 28(2). 62–66. 4 indexed citations
13.
Kowalska, Małgorzata, et al.. (2003). Changes in Lymphocyte Subsets in Children with Newly Diagnosed Type 1 Diabetes Mellitus. Journal of Pediatric Endocrinology and Metabolism. 16(2). 185–91. 4 indexed citations
14.
Malinowska, Iwona, et al.. (2001). Release of cytokines and soluble cytokine receptors after intravenous anti-D treatment in children with chronic thrombocytopenic purpura. The Hematology Journal. 2(4). 242–249. 25 indexed citations
15.
Kamiński, Paweł, Ewa Skopińska-Różewska, M Wasik, et al.. (2000). THYMUS AND LYMPH NODE CELL CD4+AND CD8+MARKER EXPRESSION AND THEIR ANGIOGENIC ACTIVITY OF OFFSPRING OF SALBUTAMOL-TREATED PREGNANT C3H MICE. Pharmacological Research. 41(1). 93–97. 4 indexed citations
16.
Wasik, M, et al.. (1991). Nitrogranulogen enhances IL-1 production but decreases cellular sensitivity to this cytokine.. PubMed. 37(3-4). 234–40. 2 indexed citations
17.
18.
Majewski, Sławomir, et al.. (1990). Cytotoxic effects of sera from patients with systemic scleroderma: Comparison of three different in vitro methods. Rheumatology International. 10(2). 65–70. 3 indexed citations
19.
20.
Majewski, Sławomir, et al.. (1987). Natural killer cell activity of peripheral blood mononuclear cells from patients with various forms of lupus erythematosus. British Journal of Dermatology. 117(6). 709–714. 15 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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