Patrycja Koszałka

923 total citations
33 papers, 766 citations indexed

About

Patrycja Koszałka is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Patrycja Koszałka has authored 33 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Physiology and 7 papers in Immunology. Recurrent topics in Patrycja Koszałka's work include Adenosine and Purinergic Signaling (14 papers), Neurological Complications and Syndromes (4 papers) and Immunotherapy and Immune Responses (3 papers). Patrycja Koszałka is often cited by papers focused on Adenosine and Purinergic Signaling (14 papers), Neurological Complications and Syndromes (4 papers) and Immunotherapy and Immune Responses (3 papers). Patrycja Koszałka collaborates with scholars based in Poland, Germany and United States. Patrycja Koszałka's co-authors include Herbert Zimmermann, Jürgen Schrader, Jacek Bigda, Klaus Hammer, David Langer, Simon C. Robson, Grzegorz Stasiłojć, Andrzej C. Składanowski, Barbara Kutryb-Zając and Burcin Özüyaman and has published in prestigious journals such as PLoS ONE, Circulation Research and International Journal of Molecular Sciences.

In The Last Decade

Patrycja Koszałka

32 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrycja Koszałka Poland 12 472 224 119 95 87 33 766
Elisa Orioli Italy 17 712 1.5× 408 1.8× 260 2.2× 102 1.1× 102 1.2× 21 1.2k
Maria Giulia Callegari Italy 7 608 1.3× 159 0.7× 123 1.0× 67 0.7× 82 0.9× 7 723
François Bigonnesse Canada 8 532 1.1× 189 0.8× 109 0.9× 69 0.7× 72 0.8× 9 676
Anna Pegoraro Italy 13 605 1.3× 281 1.3× 210 1.8× 90 0.9× 90 1.0× 22 870
Stephen MacLennan Italy 15 720 1.5× 462 2.1× 138 1.2× 110 1.2× 77 0.9× 19 1.1k
Lucas T. Woods United States 15 364 0.8× 230 1.0× 93 0.8× 51 0.5× 65 0.7× 23 709
Valentina Vultaggio-Poma Italy 13 374 0.8× 288 1.3× 97 0.8× 54 0.6× 52 0.6× 24 724
Filip Kukulski Canada 19 1.0k 2.2× 298 1.3× 180 1.5× 124 1.3× 171 2.0× 21 1.2k
Nathalie Suarez Gonzalez Belgium 9 632 1.3× 331 1.5× 147 1.2× 27 0.3× 87 1.0× 14 799
Lisa Y. Lenertz United States 13 220 0.5× 425 1.9× 93 0.8× 41 0.4× 44 0.5× 16 733

Countries citing papers authored by Patrycja Koszałka

Since Specialization
Citations

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

Fields of papers citing papers by Patrycja Koszałka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrycja Koszałka

This figure shows the co-authorship network connecting the top 25 collaborators of Patrycja Koszałka. A scholar is included among the top collaborators of Patrycja Koszałka 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 Patrycja Koszałka. Patrycja Koszałka 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.
Popęda, Marta, Adriana Mika, Tomasz Śledziński, et al.. (2024). Knock-out of CD73 delays the onset of HR-negative breast cancer by reprogramming lipid metabolism and is associated with increased tumor mutational burden. Molecular Metabolism. 89. 102035–102035. 4 indexed citations
2.
Kutryb-Zając, Barbara, et al.. (2023). Drugs targeting adenosine signaling pathways: A current view. Biomedicine & Pharmacotherapy. 165. 115184–115184. 24 indexed citations
3.
Jabłońska, Patrycja, et al.. (2022). Differences in Extracellular NAD+ and NMN Metabolism on the Surface of Vascular Endothelial Cells. Biology. 11(5). 675–675. 3 indexed citations
4.
Urban, A, Grzegorz Stasiłojć, Patrycja Koszałka, et al.. (2022). In Silico Designed Gain-of-Function Variants of Complement C2 Support Cytocidal Activity of Anticancer Monoclonal Antibodies. Cancers. 14(5). 1270–1270. 9 indexed citations
5.
Kunc, Michał, Magdalena A. Zabielska-Kaczorowska, Barbara Kutryb-Zając, et al.. (2021). An unusual nicotinamide derivative, 4-pyridone-3-carboxamide ribonucleoside (4PYR), is a novel endothelial toxin and oncometabolite. Experimental & Molecular Medicine. 53(9). 1402–1412. 7 indexed citations
6.
Stasiłojć, Grzegorz, et al.. (2019). Defective apoptosis of U937 cells induced by benzyl isothiocyanate (BITC). Acta Biochimica Polonica. 66(4). 401–407. 7 indexed citations
7.
Zabielska-Kaczorowska, Magdalena A., et al.. (2019). Impaired l-arginine metabolism marks endothelial dysfunction in CD73-deficient mice. Molecular and Cellular Biochemistry. 458(1-2). 133–142. 16 indexed citations
8.
9.
Koszałka, Patrycja, et al.. (2015). CD73 on B16F10 melanoma cells in CD73-deficient mice promotes tumor growth, angiogenesis, neovascularization, macrophage infiltration and metastasis. The International Journal of Biochemistry & Cell Biology. 69. 1–10. 33 indexed citations
10.
Miękus, Natalia, Ilona Olędzka, Alina Plenis, et al.. (2014). Gel electrophoretic separation of proteins from cultured neuroendocrine tumor cell lines. Molecular Medicine Reports. 11(2). 1407–1415. 8 indexed citations
11.
Stasiłojć, Grzegorz, Sandra Pinto, Ewa M. Słomińska, et al.. (2013). U937 variant cells as a model of apoptosis without cell disintegration. Cellular & Molecular Biology Letters. 18(2). 249–62. 8 indexed citations
12.
13.
Plenis, Alina, Natalia Miękus, Ilona Olędzka, et al.. (2013). Chemometric Evaluation of Urinary Steroid Hormone Levels as Potential Biomarkers of Neuroendocrine Tumors. Molecules. 18(10). 12857–12876. 5 indexed citations
14.
15.
Langer, David, Klaus Hammer, Patrycja Koszałka, et al.. (2008). Distribution of ectonucleotidases in the rodent brain revisited. Cell and Tissue Research. 334(2). 199–217. 141 indexed citations
16.
Koszałka, Patrycja, Ewa Szmit, Andrzej Myśliwski, & Jacek Bigda. (2007). Anti-tumor action of tumor necrosis factor against Bomirski Ab melanoma in hamsters. Archivum Immunologiae et Therapiae Experimentalis. 55(4). 267–279. 4 indexed citations
17.
Özüyaman, Burcin, Zhaoping Ding, Anja Buchheiser, et al.. (2006). Adenosine produced via the CD73/ecto-5′-nucleotidase pathway has no impact on erythropoietin production but is associated with reduced kidney weight. Pflügers Archiv - European Journal of Physiology. 452(3). 324–331. 15 indexed citations
18.
Huang, Dan, Volker Vallon, Herbert Zimmermann, et al.. (2006). Ecto-5′-nucleotidase (cd73)-dependent and -independent generation of adenosine participates in the mediation of tubuloglomerular feedback in vivo. American Journal of Physiology-Renal Physiology. 291(2). F282–F288. 60 indexed citations
19.
Koszałka, Patrycja, et al.. (2001). Wplyw czynnika martwicy nowotworu /TNF/ na lozysko naczyniowe nowotworow.. Postepy Biologii Komorki. 28(3). 351–372. 1 indexed citations
20.
Koszałka, Patrycja, et al.. (1998). Characteristics of gene 28 product, the constituent of the central part of bacteriophage T4 baseplate.. PubMed. 47(3). 243–52. 2 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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