Beata Mianowska

720 total citations
40 papers, 383 citations indexed

About

Beata Mianowska is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Beata Mianowska has authored 40 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Endocrinology, Diabetes and Metabolism, 22 papers in Genetics and 11 papers in Surgery. Recurrent topics in Beata Mianowska's work include Diabetes Management and Research (30 papers), Diabetes and associated disorders (22 papers) and Pancreatic function and diabetes (11 papers). Beata Mianowska is often cited by papers focused on Diabetes Management and Research (30 papers), Diabetes and associated disorders (22 papers) and Pancreatic function and diabetes (11 papers). Beata Mianowska collaborates with scholars based in Poland, United States and Sweden. Beata Mianowska's co-authors include Agnieszka Szadkowska, Wojciech Młynarski, Iwona Pietrzak, Wojciech Fendler, Jerzy Bodalski, Hillary A. Keenan, Anna Baranowska, Ewa Toporowska‐Kowalska, Arkadiusz Michalak and Agnieszka Zmysłowska and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes Care and Diabetologia.

In The Last Decade

Beata Mianowska

36 papers receiving 373 citations

Peers

Beata Mianowska
Rossana Román Chile
М. А. Коваренко Russia
Liane J. Tinsley United States
Shylaja Srinivasan United States
S. Bott Germany
Vera Zdravković Serbia
Jan Fairchild Australia
Karen McAssey Canada
W. Marg Germany
Mirentxu Oyarzabal Spain
Rossana Román Chile
Beata Mianowska
Citations per year, relative to Beata Mianowska Beata Mianowska (= 1×) peers Rossana Román

Countries citing papers authored by Beata Mianowska

Since Specialization
Citations

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

Fields of papers citing papers by Beata Mianowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beata Mianowska

This figure shows the co-authorship network connecting the top 25 collaborators of Beata Mianowska. A scholar is included among the top collaborators of Beata Mianowska 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 Beata Mianowska. Beata Mianowska 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.
Szadkowska, Agnieszka, Agata Chobot, Barbara Głowińska‐Olszewska, et al.. (2024). Guidelines of the Polish Society of Pediatric Endocrinology and Diabetology and Pediatric Section of Diabetes Poland on insulin therapy using hybrid closed-loop systems in children and adolescents with diabetes in Poland. Pediatric Endocrinology Diabetes and Metabolism. 30(3). 132–147. 2 indexed citations
2.
3.
Reznik, Yves, Gaëtan Prévost, Lucy Chaillous, et al.. (2023). Should people with type 2 diabetes treated by multiple daily insulin injections with home health care support be switched to hybrid closed‐loop? The CLOSE AP + randomized controlled trial. Diabetes Obesity and Metabolism. 26(2). 622–630. 9 indexed citations
4.
5.
Michalak, Arkadiusz, et al.. (2022). Incidence of hyperglycaemic disorders in children and adolescents with obesity. Pediatric Endocrinology Diabetes and Metabolism. 28(4). 274–280. 4 indexed citations
6.
Michalak, Arkadiusz, et al.. (2020). Improved Estimation of Glycated Hemoglobin from Continuous Glucose Monitoring and Past Glycated Hemoglobin Data. Diabetes Technology & Therapeutics. 23(4). 293–305. 6 indexed citations
7.
Mianowska, Beata, Iwona Pietrzak, Wojciech Fendler, et al.. (2018). Sex hormones and insulin sensitivity in adolescent girls with type 1 diabetes. Diabetes & Metabolism. 46(1). 75–77. 1 indexed citations
8.
Mianowska, Beata, et al.. (2016). Fetal hemoglobin and hemoglobin A1c level among pediatric patients with type 1 diabetes. Pediatric Endocrinology Diabetes and Metabolism. 22(2). 48–53. 2 indexed citations
9.
Zmysłowska, Agnieszka, Wojciech Fendler, Agnieszka Szadkowska, et al.. (2015). Glycemic variability in patients with Wolfram syndrome is lower than in type 1 diabetes. Acta Diabetologica. 52(6). 1057–1062. 10 indexed citations
10.
Szadkowska, Agnieszka, et al.. (2015). Gender and Age – Dependent effect of type 1 diabetes on obesity and altered body composition in young adults. Annals of Agricultural and Environmental Medicine. 22(1). 124–128. 41 indexed citations
11.
Zmysłowska, Agnieszka, Agnieszka Szadkowska, Beata Mianowska, et al.. (2014). The Pro12Ala PPARg2 gene polymorphism involves residual C-peptide secretionand BMI in type 1 diabetes. Pediatric Endocrinology Diabetes and Metabolism. 20(3). 88–94. 2 indexed citations
12.
Pietrzak, Iwona, Beata Mianowska, Agnieszka Zmysłowska, et al.. (2013). [Epidemiology and clinical course of diabetic ketoacidosis in children and adolescents with type 1 diabetes mellitus].. PubMed. 19(4). 137–42. 5 indexed citations
13.
Jarosz‐Chobot, Przemysława, Joanna Polańska, Małgorzata Myśliwiec, et al.. (2012). Multicenter cross-sectional analysis of values of glycated haemoglobin (HbA1c) in Polish children and adolescents with long-term type 1 diabetes in Poland: PolPeDiab study group.. PubMed. 18(4). 125–9. 8 indexed citations
14.
Mianowska, Beata, Wojciech Fendler, Agnieszka Szadkowska, et al.. (2011). [One-year variability of HbA1c in children and adolescents with type 1 diabetes - preliminary results].. PubMed. 17(1). 20–5. 2 indexed citations
15.
Zmysłowska, Agnieszka, Krystyna Wyka, Agnieszka Szadkowska, et al.. (2011). Free fatty acids level may effect a residual insulin secretion in type 1 diabetes.. PubMed. 17(1). 26–9. 4 indexed citations
16.
Fendler, Wojciech, Anna Baranowska, Beata Mianowska, Agnieszka Szadkowska, & Wojciech Młynarski. (2011). Three-year comparison of subcutaneous insulin pump treatment with multi-daily injections on HbA1c, its variability and hospital burden of children with type 1 diabetes. Acta Diabetologica. 49(5). 363–370. 34 indexed citations
17.
Mianowska, Beata, Wojciech Fendler, Agnieszka Szadkowska, et al.. (2010). HbA1c levels in schoolchildren with type 1 diabetes are seasonally variable and dependent on weather conditions. Diabetologia. 54(4). 749–756. 34 indexed citations
18.
Szadkowska, Agnieszka, Iwona Pietrzak, Beata Mianowska, et al.. (2008). Insulin sensitivity in Type 1 diabetic children and adolescents. Diabetic Medicine. 25(3). 282–288. 75 indexed citations
19.
Szadkowska, Agnieszka, Krystyna Wyka, Wojciech Młynarski, et al.. (2007). [Leptin concentration and insulin sensitivity in type 1 diabetic children and adolescents].. PubMed. 13(4). 194–200.
20.
Szadkowska, Agnieszka, Iwona Pietrzak, Beata Mianowska, & Leszek Markuszewski. (2006). Wskaźnik insulinooporności u dzieci i młodzieży chorej na cukrzycę typu 1 – uproszczony sposób oceny. SHILAP Revista de lepidopterología. 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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