Anna Kurpińska

556 total citations
34 papers, 406 citations indexed

About

Anna Kurpińska is a scholar working on Epidemiology, Surgery and Agronomy and Crop Science. According to data from OpenAlex, Anna Kurpińska has authored 34 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 7 papers in Surgery and 7 papers in Agronomy and Crop Science. Recurrent topics in Anna Kurpińska's work include Reproductive Physiology in Livestock (7 papers), Blood properties and coagulation (3 papers) and Animal health and immunology (3 papers). Anna Kurpińska is often cited by papers focused on Reproductive Physiology in Livestock (7 papers), Blood properties and coagulation (3 papers) and Animal health and immunology (3 papers). Anna Kurpińska collaborates with scholars based in Poland, Latvia and Germany. Anna Kurpińska's co-authors include Stefan Chłopicki, Joanna Suraj, W. F. Skrzypczak, Maria Walczak, Agnieszka Jasztal, Magdalena Sternak, Marta Stojak, Agnieszka Jarosz, Agnieszka Zakrzewska and Bartosz Proniewski and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Anna Kurpińska

28 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Kurpińska Poland 13 115 74 61 54 53 34 406
Luciana Alves de Fátima Brazil 14 121 1.1× 34 0.5× 16 0.3× 113 2.1× 37 0.7× 22 475
I‐Ta Lee Taiwan 10 235 2.0× 64 0.9× 23 0.4× 9 0.2× 88 1.7× 11 436
Nga Ling Ko United States 14 195 1.7× 75 1.0× 15 0.2× 123 2.3× 201 3.8× 22 592
Xiaojin An United States 8 200 1.7× 31 0.4× 19 0.3× 22 0.4× 208 3.9× 10 539
Donna S. Woodard United States 12 112 1.0× 41 0.6× 16 0.3× 29 0.5× 88 1.7× 14 426
Akram Vatannejad Iran 17 121 1.1× 76 1.0× 14 0.2× 8 0.1× 67 1.3× 45 662
Yilan Huang China 13 235 2.0× 32 0.4× 12 0.2× 10 0.2× 30 0.6× 40 505
Yajing Weng China 10 169 1.5× 18 0.2× 21 0.3× 15 0.3× 62 1.2× 15 358

Countries citing papers authored by Anna Kurpińska

Since Specialization
Citations

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

Fields of papers citing papers by Anna Kurpińska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Kurpińska

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Kurpińska. A scholar is included among the top collaborators of Anna Kurpińska 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 Anna Kurpińska. Anna Kurpińska 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.
Nieckarz, Zenon, Anna Kurpińska, Ryszard T. Smoleński, et al.. (2025). Physical activity of moderate-intensity optimizes myocardial citrate cycle in a murine model of heart failure. Frontiers in Physiology. 16. 1568060–1568060.
2.
3.
Bar, Anna, Anna Kurpińska, Patrycja Kaczara, et al.. (2025). Effects of life-long hyperlipidaemia on age-dependent development of endothelial dysfunction in humanised dyslipidaemic mice. GeroScience. 47(3). 2673–2701.
4.
Zuccarelli, Lucrezia, Giovanni Baldassarre, Diana Caroli, et al.. (2025). Impaired nitric oxide‐dependent endothelial function in young male individuals with obesity before the onset of symptoms and complications. Experimental Physiology. 111(3). 1134–1149.
5.
Żołądź, Jerzy A., Marcin Grandys, Agnieszka Kij, et al.. (2024). Myoglobin deficiency impairs maximal oxygen uptake and exercise performance: a lesson from Mb−/− mice. The Journal of Physiology. 602(5). 855–873. 2 indexed citations
6.
Kieronska‐Rudek, Anna, Agnieszka Kij, Anna Bar, et al.. (2024). Phylloquinone improves endothelial function, inhibits cellular senescence, and vascular inflammation. GeroScience. 46(5). 4909–4935. 5 indexed citations
7.
Kij, Agnieszka, Anna Bar, Kamil Przyborowski, et al.. (2024). Vascular protein disulfide isomerase A1 mediates endothelial dysfunction induced by angiotensin II in mice. Acta Physiologica. 240(4). e14116–e14116. 3 indexed citations
8.
Kij, Agnieszka, Anna Kurpińska, Patrycja Kaczara, et al.. (2024). Chronic heart failure induces early defenestration of liver sinusoidal endothelial cells (LSECs) in mice. Acta Physiologica. 240(5). e14114–e14114. 4 indexed citations
9.
Kwiatkowski, Grzegorz, Anna Kurpińska, Patrycja Kaczara, et al.. (2024). Protein disulfide isomerase A1 regulates fenestration dynamics in primary mouse liver sinusoidal endothelial cells (LSECs). Redox Biology. 72. 103162–103162. 7 indexed citations
10.
Kaczara, Patrycja, Edyta Kuś, Anna Kurpińska, et al.. (2024). Liver sinusoidal endothelial cells rely on oxidative phosphorylation but avoid processing long-chain fatty acids in their mitochondria. Cellular & Molecular Biology Letters. 29(1). 67–67. 7 indexed citations
11.
Kurpińska, Anna, Joanna Suraj, Marta Stojak, et al.. (2022). Comparison of anti-cancer effects of novel protein disulphide isomerase (PDI) inhibitors in breast cancer cells characterized by high and low PDIA17 expression. Cancer Cell International. 22(1). 218–218. 12 indexed citations
12.
Przyborowski, Kamil, Anna Kurpińska, Patrycja Kaczara, et al.. (2021). Protein disulfide isomerase‐A1 regulates intraplatelet reactive oxygen species–thromboxane A2‐dependent pathway in human platelets. Journal of Thrombosis and Haemostasis. 20(1). 157–169. 15 indexed citations
13.
Kaczara, Patrycja, Barbara Sitek, Kamil Przyborowski, et al.. (2020). Antiplatelet Effect of Carbon Monoxide Is Mediated by NAD + and ATP Depletion. Arteriosclerosis Thrombosis and Vascular Biology. 40(10). 2376–2390. 29 indexed citations
14.
Stojak, Marta, Magdalena Milczarek, Anna Kurpińska, et al.. (2020). Protein Disulphide Isomerase A1 Is Involved in the Regulation of Breast Cancer Cell Adhesion and Transmigration via Lung Microvascular Endothelial Cells. Cancers. 12(10). 2850–2850. 20 indexed citations
15.
Kurpińska, Anna, Agnieszka Jarosz, & W. F. Skrzypczak. (2020). Parameters of protein and iron metabolism in dairy cows during periparturient period. 18(3). 3–10. 6 indexed citations
16.
Kurpińska, Anna, Joanna Suraj, Agnieszka Zakrzewska, et al.. (2019). Proteomic characterization of early lung response to breast cancer metastasis in mice. Experimental and Molecular Pathology. 107. 129–140. 30 indexed citations
17.
18.
Skrzypczak, W. F., et al.. (2014). Sodium, potassium and chloride homeostasis in cows during pregnancy and first months of lactation. Acta Biologica Cracoviensia. Series Zoologia. 7 indexed citations
19.
Ciechanowicz, Andrzej K., M. Ożgo, Agnieszka Herosimczyk, et al.. (2011). Urinary proteomic strategies in biomarkers discovery of renal diseases. Journal of Pre-Clinical and Clinical Research. 5(1). 1–6.
20.
Kurpińska, Anna & W. F. Skrzypczak. (2010). Renal function during metabolic acidosis. Journal of Pre-Clinical and Clinical Research. 4(1). 1–4. 1 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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