Urszula Wojda

2.8k total citations · 1 hit paper
63 papers, 2.1k citations indexed

About

Urszula Wojda is a scholar working on Molecular Biology, Physiology and Hematology. According to data from OpenAlex, Urszula Wojda has authored 63 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 31 papers in Physiology and 9 papers in Hematology. Recurrent topics in Urszula Wojda's work include Alzheimer's disease research and treatments (17 papers), Erythrocyte Function and Pathophysiology (9 papers) and MicroRNA in disease regulation (6 papers). Urszula Wojda is often cited by papers focused on Alzheimer's disease research and treatments (17 papers), Erythrocyte Function and Pathophysiology (9 papers) and MicroRNA in disease regulation (6 papers). Urszula Wojda collaborates with scholars based in Poland, United States and Germany. Urszula Wojda's co-authors include Jacek Kuźnicki, Anna Mietelska‐Porowska, Katarzyna Laskowska-Kaszub, Joanna Wojsiat, Elżbieta Salińska, Angelika Więckowska‐Gacek, Katarzyna Marta Zoltowska, Jeffery L. Miller, Anna Filipek and Siranjeevi Nagaraj and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Scientific Reports.

In The Last Decade

Urszula Wojda

62 papers receiving 2.1k citations

Hit Papers

Western diet as a trigger of Alzheimer’s disease: From me... 2021 2026 2022 2024 2021 50 100 150 200

Peers

Urszula Wojda
Sarah Wright United States
Shaday Michán United States
Satinder S. Sarang United States
Jong Kil Lee South Korea
Natacha Le Moan United States
Urszula Wojda
Citations per year, relative to Urszula Wojda Urszula Wojda (= 1×) peers Christer Möller

Countries citing papers authored by Urszula Wojda

Since Specialization
Citations

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

Fields of papers citing papers by Urszula Wojda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Urszula Wojda

This figure shows the co-authorship network connecting the top 25 collaborators of Urszula Wojda. A scholar is included among the top collaborators of Urszula Wojda 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 Urszula Wojda. Urszula Wojda 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.
Wojda, Urszula, et al.. (2024). BM7, a derivative of benzofuran, effectively fights cancer by promoting cancer cell apoptosis and impacting IL-6 levels. European Journal of Pharmacology. 978. 176751–176751. 1 indexed citations
2.
Want, Andrew, Wioleta Grabowska, Anna Barczak, et al.. (2023). Optimized RT-qPCR and a novel normalization method for validating circulating miRNA biomarkers in ageing-related diseases. Scientific Reports. 13(1). 20869–20869. 11 indexed citations
3.
Wojda, Urszula, et al.. (2023). Melanotan-II reverses memory impairment induced by a short-term HF diet. Biomedicine & Pharmacotherapy. 165. 115129–115129.
4.
Wojda, Urszula, et al.. (2023). Normalization methods for RT‐qPCR assessment of circulating microRNAs in Alzheimer’s and other aging‐related diseases. Alzheimer s & Dementia. 19(S2). 1 indexed citations
6.
Mietelska‐Porowska, Anna, et al.. (2022). Induction of Brain Insulin Resistance and Alzheimer’s Molecular Changes by Western Diet. International Journal of Molecular Sciences. 23(9). 4744–4744. 21 indexed citations
7.
Swatler, Julian, Marta Brewińska‐Olchowik, Sara De Biasi, et al.. (2022). 4-1BBL–containing leukemic extracellular vesicles promote immunosuppressive effector regulatory T cells. Blood Advances. 6(6). 1879–1894. 26 indexed citations
8.
Loza‐Valdes, Angel, Rabih El‐Merahbi, Mona C. Löffler, et al.. (2022). Targeting ERK3/MK5 complex for treatment of obesity and diabetes. Biochemical and Biophysical Research Communications. 612. 119–125. 2 indexed citations
9.
Grabowska, Wioleta, Andrew Want, Jerzy Leszek, & Urszula Wojda. (2021). Antisense oligonucleotides for Alzheimer's disease therapy: from the mRNA to miRNA paradigm. EBioMedicine. 74. 103691–103691. 56 indexed citations
10.
Nagaraj, Siranjeevi, Andrew Want, Katarzyna Laskowska-Kaszub, et al.. (2021). Candidate Alzheimer’s Disease Biomarker miR-483-5p Lowers TAU Phosphorylation by Direct ERK1/2 Repression. International Journal of Molecular Sciences. 22(7). 3653–3653. 34 indexed citations
11.
Zdioruk, Mykola, Andrew Want, Anna Mietelska‐Porowska, et al.. (2020). A New Inhibitor of Tubulin Polymerization Kills Multiple Cancer Cell Types and Reveals p21-Mediated Mechanism Determining Cell Death after Mitotic Catastrophe. Cancers. 12(8). 2161–2161. 20 indexed citations
12.
Cieślak, Marcin, et al.. (2019). New Thalidomide-Resembling Dicarboximides Target ABC50 Protein and Show Antileukemic and Immunomodulatory Activities. Biomolecules. 9(9). 446–446. 9 indexed citations
13.
Dowjat, Karol, Tatyana Adayev, Urszula Wojda, et al.. (2019). Abnormalities of DYRK1A-Cytoskeleton Complexes in the Blood Cells as Potential Biomarkers of Alzheimer’s Disease. Journal of Alzheimer s Disease. 72(4). 1059–1075. 8 indexed citations
14.
Nagaraj, Siranjeevi, Katarzyna Marta Zoltowska, Katarzyna Laskowska-Kaszub, & Urszula Wojda. (2018). microRNA diagnostic panel for Alzheimer’s disease and epigenetic trade-off between neurodegeneration and cancer. Ageing Research Reviews. 49. 125–143. 92 indexed citations
15.
Wojsiat, Joanna, Katarzyna Marta Zoltowska, Katarzyna Laskowska-Kaszub, & Urszula Wojda. (2018). Oxidant/Antioxidant Imbalance in Alzheimer’s Disease: Therapeutic and Diagnostic Prospects. Oxidative Medicine and Cellular Longevity. 2018(1). 6435861–6435861. 184 indexed citations
16.
Błażejczyk, Magdalena, Adam Sobczak, M. Wisniewska, et al.. (2009). Biochemical characterization and expression analysis of a novel EF-hand Ca2+ binding protein calmyrin2 (Cib2) in brain indicates its function in NMDA receptor mediated Ca2+ signaling. Archives of Biochemistry and Biophysics. 487(1). 66–78. 32 indexed citations
17.
Gregorek, Hanna, Katarzyna Dzierżanowska‐Fangrat, Marek Woynarowski, et al.. (2005). [Persistence of hepatitis B virus in children after interferon-alpha therapy despite the seroconversion in HBsAg/anti-HBs system].. PubMed. 59(3). 641–9. 1 indexed citations
18.
Błażejczyk, Magdalena, Urszula Wojda, Adam Sobczak, et al.. (2005). Ca2+-independent binding and cellular expression profiles question a significant role of calmyrin in transduction of Ca2+-signals to Alzheimer's disease-related presenilin 2 in forebrain. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1762(1). 66–72. 18 indexed citations
19.
Bernstein, Hans‐Gert, Magdalena Błażejczyk, Eckart D. Gundelfinger, et al.. (2005). The Alzheimer disease‐related calcium‐binding protein Calmyrin is present in human forebrain with an altered distribution in Alzheimer's as compared to normal ageing brains. Neuropathology and Applied Neurobiology. 31(3). 314–324. 23 indexed citations
20.
Filipek, Anna, et al.. (1996). Characterization of chicken gizzard calcyclin and examination of its interaction with caldesmon. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 113(4). 745–752. 18 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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