Mariusz Gajda

2.3k total citations
101 papers, 1.8k citations indexed

About

Mariusz Gajda is a scholar working on Surgery, Molecular Biology and Immunology. According to data from OpenAlex, Mariusz Gajda has authored 101 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Surgery, 19 papers in Molecular Biology and 17 papers in Immunology. Recurrent topics in Mariusz Gajda's work include X-ray Spectroscopy and Fluorescence Analysis (10 papers), Atherosclerosis and Cardiovascular Diseases (9 papers) and Trace Elements in Health (8 papers). Mariusz Gajda is often cited by papers focused on X-ray Spectroscopy and Fluorescence Analysis (10 papers), Atherosclerosis and Cardiovascular Diseases (9 papers) and Trace Elements in Health (8 papers). Mariusz Gajda collaborates with scholars based in Poland, United States and Belgium. Mariusz Gajda's co-authors include Jacek Jawień, Ryszard Korbut, Rafał Olszanecki, Stefan Chłopicki, T Cichocki, Łukasz Mateuszuk, Dirk Adriaensen, Jan A. Litwin, Wojciech M. Kwiatek and Jean‐Pierre Timmermans and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Mariusz Gajda

98 papers receiving 1.8k citations

Peers

Mariusz Gajda
Ferenc Puskás United States
Xu Teng China
Raina Ramnath Singapore
Sanjana Dayal United States
Sébastien Lenglet Switzerland
Mariusz Gajda
Citations per year, relative to Mariusz Gajda Mariusz Gajda (= 1×) peers Naoaki Harada

Countries citing papers authored by Mariusz Gajda

Since Specialization
Citations

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

Fields of papers citing papers by Mariusz Gajda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariusz Gajda

This figure shows the co-authorship network connecting the top 25 collaborators of Mariusz Gajda. A scholar is included among the top collaborators of Mariusz Gajda 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 Mariusz Gajda. Mariusz Gajda 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.
Wiśniewska, Anna, Aneta Stachowicz, Justyna Totoń‐Żurańska, et al.. (2021). Inhibition of Atherosclerosis and Liver Steatosis by Agmatine in Western Diet-Fed apoE-Knockout Mice Is Associated with Decrease in Hepatic De Novo Lipogenesis and Reduction in Plasma Triglyceride/High-Density Lipoprotein Cholesterol Ratio. International Journal of Molecular Sciences. 22(19). 10688–10688. 16 indexed citations
2.
Stachowicz, Aneta, Anna Wiśniewska, Anna Gębska, et al.. (2019). The Influence of Trehalose on Atherosclerosis and Hepatic Steatosis in Apolipoprotein E Knockout Mice. International Journal of Molecular Sciences. 20(7). 1552–1552. 36 indexed citations
3.
Krzanowski, Marcin, Agata Pietrzycka, Mariusz Gajda, et al.. (2019). Interplay of nitric oxide metabolites and markers of endothelial injury, inflammation, and vascular disease in the spectrum of advanced chronic kidney disease. Kardiologia Polska. 78(1). 51–58. 7 indexed citations
4.
Reich, Adam, Mariusz Gajda, Dmitry Nevozhay, et al.. (2016). Opioid Receptors in Psoriatic Skin: Relationship with Itch. Acta Dermato Venereologica. 97(5). 564–570. 33 indexed citations
5.
Lis, Grzegorz, Joanna Czapla–Masztafiak, Wojciech M. Kwiatek, et al.. (2014). Distribution of selected elements in calcific human aortic valves studied by microscopy combined with SR-μXRF: Influence of lipids on progression of calcification. Micron. 67. 141–148. 17 indexed citations
6.
Pyka‐Fościak, Grażyna, et al.. (2013). Effect of nebivolol treatment on atherosclerotic plaque components in apoE-knockout mice.. PubMed. 64(6). 745–50. 6 indexed citations
7.
Kostogrys, Renata B., Magdalena Franczyk‐Żarów, Edyta Maślak, et al.. (2012). Low carbohydrate, high protein diet promotes atherosclerosis in apolipoprotein E/low-density lipoprotein receptor double knockout mice (apoE/LDLR−/−). Atherosclerosis. 223(2). 327–331. 30 indexed citations
8.
Pawłowska, Małgorzata, Mariusz Gajda, Grażyna Pyka‐Fościak, et al.. (2011). The effect of doxycycline on atherogenesis in apoE-knockout mice.. PubMed. 62(2). 247–50. 17 indexed citations
9.
Banaś, Agnieszka, et al.. (2011). Neoplastic disorders of prostate glands in the light of synchrotron radiation and multivariate statistical analysis. JBIC Journal of Biological Inorganic Chemistry. 16(8). 1187–1196. 3 indexed citations
10.
Kostogrys, Renata B., Magdalena Franczyk‐Żarów, Mariusz Gajda, & Stefan Chłopicki. (2010). Conjugated linoleic acid has no effects on atherosclerosis but induces liver steatosis in apoE/LDLR -/- mice fed a fructose-rich diet. Journal of Pre-Clinical and Clinical Research. 4(2). 118–121. 1 indexed citations
11.
Kostogrys, Renata B., et al.. (2010). Effects of conjugated linoleic acid (CLA) on development of atherosclerosis in ApoE/LDLr -/- mice. Journal of Pre-Clinical and Clinical Research. 4(2). 87–91. 2 indexed citations
12.
Lis, Grzegorz, Ewa Jasek-Gajda, Jan A. Litwin, et al.. (2010). Expression of basal cell marker revealed by RAM11 antibody during epithelial regeneration in rabbits.. Folia Histochemica et Cytobiologica. 48(1). 89–92. 3 indexed citations
13.
Chłopicki, Stefan, Grzegorz Lis, Łukasz Mateuszuk, et al.. (2008). Triple immunofluorescence labeling of atherosclerotic plaque components in apoE/LDLR -/- mice.. SHILAP Revista de lepidopterología. 2 indexed citations
14.
Gajda, Mariusz, Olaf Zagólski, Grzegorz Lis, et al.. (2008). Development of Galanin‐Containing Nerve Fibres in Rat Tibia. Anatomia Histologia Embryologia. 38(2). 112–117. 2 indexed citations
15.
Gajda, Mariusz, et al.. (2007). The evaluation of the effectiveness of multiple dose intradermal hepatitis B re-vaccination in hemodialyzed patients not responding to standard method of immunization.. PubMed. 64(7-8). 470–5. 4 indexed citations
17.
Jawień, Jacek, Mariusz Gajda, Mats Rudling, et al.. (2006). Inhibition of five lipoxygenase activating protein (FLAP) by MK‐886 decreases atherosclerosis in apoE/LDLR‐double knockout mice. European Journal of Clinical Investigation. 36(3). 141–146. 86 indexed citations
18.
Nowak, Marcin, et al.. (2005). Monkey brain as a model for Alzheimer's pathology. Medycyna Weterynaryjna. 61(7).
19.
Gajda, Mariusz, Jan A. Litwin, T Cichocki, Jean‐Pierre Timmermans, & Dirk Adriaensen. (2005). Development of sensory innervation in rat tibia: co‐localization of CGRP and substance P with growth‐associated protein 43 (GAP‐43). Journal of Anatomy. 207(2). 135–144. 42 indexed citations
20.
Kwiatek, Wojciech M., Tomasz Drewniak, Mariusz Gajda, et al.. (2002). Preliminary study on the distribution of selected elements in cancerous and non-cancerous kidney tissues. Journal of Trace Elements in Medicine and Biology. 16(3). 155–160. 23 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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