Aleksandra Uruska

991 total citations
63 papers, 575 citations indexed

About

Aleksandra Uruska is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Aleksandra Uruska has authored 63 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Endocrinology, Diabetes and Metabolism, 15 papers in Genetics and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Aleksandra Uruska's work include Diabetes Management and Research (27 papers), Diabetes and associated disorders (15 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers). Aleksandra Uruska is often cited by papers focused on Diabetes Management and Research (27 papers), Diabetes and associated disorders (15 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers). Aleksandra Uruska collaborates with scholars based in Poland, Australia and United States. Aleksandra Uruska's co-authors include Dorota Zozulińska‐Ziółkiewicz, Aleksandra Araszkiewicz, Bogna Wierusz‐Wysocka, Dariusz Naskręt, Stanisław Piłaciński, Tadeusz Dereziński, Monika Pietrzak, Mariusz Dąbrowski, Paweł Uruski and Anita Rogowicz‐Frontczak and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Aleksandra Uruska

56 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aleksandra Uruska Poland 14 275 125 123 118 93 63 575
Yoon Hi Cho Australia 16 438 1.6× 218 1.7× 121 1.0× 249 2.1× 135 1.5× 34 796
Troels Mygind Jensen Denmark 11 327 1.2× 146 1.2× 210 1.7× 45 0.4× 62 0.7× 22 647
Yuko Akehi Japan 14 307 1.1× 189 1.5× 156 1.3× 57 0.5× 43 0.5× 37 688
David P. Macfarlane United Kingdom 13 396 1.4× 111 0.9× 205 1.7× 70 0.6× 62 0.7× 23 815
Mirella Moro Italy 12 451 1.6× 141 1.1× 72 0.6× 72 0.6× 37 0.4× 22 703
Phillip Williams United States 13 119 0.4× 146 1.2× 134 1.1× 58 0.5× 26 0.3× 26 446
Jennifer Harrington Canada 17 244 0.9× 138 1.1× 40 0.3× 231 2.0× 91 1.0× 47 803
Ahmet Anık Türkiye 17 267 1.0× 198 1.6× 150 1.2× 225 1.9× 54 0.6× 75 868
Kenichi Yamada Japan 12 90 0.3× 152 1.2× 55 0.4× 82 0.7× 83 0.9× 32 694
Poul Erik Jakobsen Denmark 14 326 1.2× 102 0.8× 160 1.3× 77 0.7× 135 1.5× 30 553

Countries citing papers authored by Aleksandra Uruska

Since Specialization
Citations

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

Fields of papers citing papers by Aleksandra Uruska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksandra Uruska

This figure shows the co-authorship network connecting the top 25 collaborators of Aleksandra Uruska. A scholar is included among the top collaborators of Aleksandra Uruska 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 Aleksandra Uruska. Aleksandra Uruska 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.
Kamiński, Mikołaj, et al.. (2025). Therapeutic inertia in lipid management among Polish adults with type 1 diabetes - results from the cross-sectional PARADISE T1DM study. Nutrition Metabolism and Cardiovascular Diseases. 35(5). 103853–103853.
2.
Naskręt, Dariusz, et al.. (2025). How to improve cardiovascular risk assessment in type 1 diabetes? The role of vascular age and arterial stiffness. Polskie Archiwum Medycyny Wewnętrznej. 135(4). 1 indexed citations
3.
Łebkowska, Agnieszka, Agnieszka Adamska, Aleksandra Uruska, et al.. (2024). The association of thyroid autoimmunity with ovarian reserve in women with type 1 diabetes with and without polycystic ovary syndrome. Scientific Reports. 14(1). 13223–13223. 1 indexed citations
4.
Naskręt, Dariusz, et al.. (2023). Methods of Assessment of Physical Capacity in People with Diabetes MellitusType 1. Current Diabetes Reviews. 20(3). e080623217810–e080623217810. 3 indexed citations
5.
6.
Januszewski, Andrzej S., Nirupa Sachithanandan, Glenn M. Ward, et al.. (2022). Independent euglycaemic hyperinsulinaemic clamp studies validate clinically applicable formulae to estimate insulin sensitivity in people with type 1 diabetes. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 17(1). 102691–102691. 2 indexed citations
7.
8.
Dereziński, Tadeusz, Dorota Zozulińska‐Ziółkiewicz, Aleksandra Uruska, & Mariusz Dąbrowski. (2020). Abdominal aorta diameter as a novel marker of diabetes incidence risk in elderly women. Scientific Reports. 10(1). 13734–13734. 7 indexed citations
9.
Rogowicz‐Frontczak, Anita, et al.. (2020). Does autoimmune hypothyroidism increase the risk of neurovascular complications in type 1 diabetes?. Journal of Endocrinological Investigation. 43(6). 833–839. 8 indexed citations
10.
Piłaciński, Stanisław, et al.. (2020). Clinical Remission of Type 1 Diabetes Predicts Higher Insulin Sensitivity at 7 Years from Diagnosis of the Disease. Diabetes Technology & Therapeutics. 22(8). 577–583. 6 indexed citations
11.
Dereziński, Tadeusz, Dorota Zozulińska‐Ziółkiewicz, Aleksandra Uruska, & Mariusz Dąbrowski. (2018). Visceral adiposity index as a useful tool for the assessment of cardiometabolic disease risk in women aged 65 to 74. Diabetes/Metabolism Research and Reviews. 34(8). e3052–e3052. 31 indexed citations
12.
13.
Uruska, Aleksandra, et al.. (2018). Klotho protein function among patients with type 1 diabetes. Endokrynologia Polska. 69(6). 696–704. 12 indexed citations
14.
Naskręt, Dariusz, et al.. (2017). The Higher the Insulin Resistance the Lower the Cardiac Output in Men with Type 1 Diabetes During the Maximal Exercise Test. Metabolic Syndrome and Related Disorders. 15(5). 252–257. 6 indexed citations
15.
Uruska, Aleksandra, Anna Michalska, Paweł Uruski, et al.. (2017). Is cathelicidin a novel marker of diabetic microangiopathy in patients with type 1 diabetes?. Clinical Biochemistry. 50(18). 1110–1114. 3 indexed citations
16.
Uruska, Aleksandra, et al.. (2016). Insulin therapy and lipoproteins in patients with type 1 diabetes. Clinical Diabetology. 5(4). 111–116. 1 indexed citations
17.
Piłaciński, Stanisław, et al.. (2015). Influence of remission and its duration on development of early microvascular complications in young adults with type 1 diabetes. Journal of Diabetes and its Complications. 29(8). 1105–1111. 43 indexed citations
18.
Uruska, Aleksandra, et al.. (2014). Does serum cystatin C level reflect insulin resistance in patients with type 1 diabetes?. Clinical Biochemistry. 47(13-14). 1235–1238. 8 indexed citations
19.
Uruska, Aleksandra & Dorota Zozulińska‐Ziółkiewicz. (2010). Liraglutyd - analog glukagonopodobnego peptydu-1 w terapii cukrzycy typu 2. 1(2). 89–97. 1 indexed citations
20.
Uruska, Aleksandra & Aleksandra Araszkiewicz. (2009). [Insulin resistance in patients with type 1 diabetes].. PubMed. 15(2). 119–23. 4 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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