Bogda Skowrońska

596 total citations
35 papers, 405 citations indexed

About

Bogda Skowrońska is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Bogda Skowrońska has authored 35 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 14 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Physiology. Recurrent topics in Bogda Skowrońska's work include Diabetes and associated disorders (13 papers), Regulation of Appetite and Obesity (7 papers) and Pancreatic function and diabetes (7 papers). Bogda Skowrońska is often cited by papers focused on Diabetes and associated disorders (13 papers), Regulation of Appetite and Obesity (7 papers) and Pancreatic function and diabetes (7 papers). Bogda Skowrońska collaborates with scholars based in Poland, Australia and Iran. Bogda Skowrońska's co-authors include Piotr Fichna, Witold Stankiewicz, Joanna H. Śliwowska, Michael N. Lehman, Chrysanthi Fergani, Marta Fichna, Jacek Zachwieja, Magdalena Żurawek, Jerzy Nowak and Agnieszka Dzikiewicz‐Krawczyk and has published in prestigious journals such as Nutrients, Physiology & Behavior and Frontiers in Endocrinology.

In The Last Decade

Bogda Skowrońska

32 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bogda Skowrońska Poland 12 100 97 93 79 74 35 405
Belma Haliloğlu Türkiye 14 112 1.1× 147 1.5× 117 1.3× 94 1.2× 30 0.4× 34 378
PM Stewart United Kingdom 8 115 1.1× 234 2.4× 107 1.2× 46 0.6× 81 1.1× 21 552
Tennille S. Leak United States 10 122 1.2× 68 0.7× 102 1.1× 50 0.6× 40 0.5× 12 324
Mira S. Zantout Lebanon 12 75 0.8× 268 2.8× 79 0.8× 59 0.7× 166 2.2× 21 539
Magdalena Woznowski Germany 9 36 0.4× 59 0.6× 126 1.4× 42 0.5× 116 1.6× 18 397
Katerina Saltiki Greece 15 131 1.3× 457 4.7× 76 0.8× 102 1.3× 57 0.8× 47 656
Hale Aral Türkiye 11 39 0.4× 56 0.6× 102 1.1× 39 0.5× 33 0.4× 32 434
Teruhisa Ueda Japan 12 32 0.3× 200 2.1× 59 0.6× 53 0.7× 101 1.4× 32 473
Kerrie Lashley United States 6 226 2.3× 101 1.0× 139 1.5× 25 0.3× 52 0.7× 10 450
Pierre-Yves Martin United States 10 33 0.3× 69 0.7× 189 2.0× 108 1.4× 111 1.5× 13 530

Countries citing papers authored by Bogda Skowrońska

Since Specialization
Citations

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

Fields of papers citing papers by Bogda Skowrońska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bogda Skowrońska

This figure shows the co-authorship network connecting the top 25 collaborators of Bogda Skowrońska. A scholar is included among the top collaborators of Bogda Skowrońska 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 Bogda Skowrońska. Bogda Skowrońska 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.
Kędzia, Andrzej, et al.. (2024). Assessment of parents’ awareness of the anti-inflammatory diet and its impact on their child's health: survey study. Pediatric Endocrinology Diabetes and Metabolism. 30(3). 125–131. 1 indexed citations
2.
Michalak, Michał, et al.. (2024). Increasing trend of childhood type 1 diabetes incidence: 20-year observation from Greater Poland Province, Poland. Acta Diabetologica. 61(12). 1609–1617. 8 indexed citations
3.
Skowrońska, Bogda, et al.. (2024). Ambulatory blood pressure parameters and their association with albuminuria in adolescents with type 1 diabetes mellitus. Pediatric Nephrology. 39(10). 3037–3047. 2 indexed citations
4.
Ostalska‐Nowicka, Danuta, et al.. (2024). Early kidney damage in diabetic adolescents with increased blood pressure and glomerular hyperfiltration. Minerva Pediatrics. 76(1). 1 indexed citations
5.
Kędzia, Andrzej, et al.. (2023). Dietary treatment of type 1 diabetes – once upon a time versus today. Pediatric Endocrinology Diabetes and Metabolism. 29(3). 184–189. 1 indexed citations
6.
Zmysłowska, Agnieszka, Tomasz Płoszaj, Iwona Beń‐Skowronek, et al.. (2021). Next- generation sequencing is an effective method for diagnosing patients with different forms of monogenic diabetes. Diabetes Research and Clinical Practice. 183. 109154–109154. 12 indexed citations
7.
Skowrońska, Bogda, et al.. (2019). What a type of diabetes is having your patient? Challenges in diagnosing diabetes in children and adolescent – case report. Pediatric Endocrinology Diabetes and Metabolism. 25(4). 212–216.
8.
Rogowicz‐Frontczak, Anita, Stanisław Piłaciński, Marta Fichna, et al.. (2018). Autoantibodies against zinc transporter 8 are related to age and metabolic state in patients with newly diagnosed autoimmune diabetes. Acta Diabetologica. 55(3). 287–294. 31 indexed citations
9.
Skowrońska, Bogda, et al.. (2017). Prader-Willi Syndrome – nutritional management in children, adolescents and adults. Pediatric Endocrinology Diabetes and Metabolism. 23(2). 101–106. 5 indexed citations
10.
Fichna, Marta, et al.. (2017). Lack of association of the HSD11B1 gene polymorphisms with obesity and other traits of metabolic syndrome in children and adolescents. Clinical Diabetology. 5(6). 178–184. 1 indexed citations
11.
Fichna, Marta, et al.. (2016). FKBP5 polymorphism is associated with insulin resistance in children and adolescents with obesity. Obesity Research & Clinical Practice. 12(1). 62–70. 16 indexed citations
12.
Skowrońska, Bogda, et al.. (2015). Type 1 diabetes in children and adolescents – a need for multi-professional team intervention. 14(3). 41–46. 1 indexed citations
13.
Majewski, Dominik, et al.. (2015). Serum leptin and adiponectin levels in children with type 1 diabetes mellitus – Relation to body fat mass and disease course. Advances in Medical Sciences. 61(1). 117–122. 13 indexed citations
14.
Żurawek, Magdalena, Marta Fichna, Piotr Fichna, et al.. (2014). Cumulative effect of IFIH1 variants and increased gene expression associated with type 1 diabetes. Diabetes Research and Clinical Practice. 107(2). 259–266. 18 indexed citations
15.
Majewski, Dominik, et al.. (2014). Stężenie rezystyny w surowicy u dzieci z cukrzycą typu 1 — negatywna relacja z masą tłuszczową ciała. Endokrynologia Polska. 65(5). 342–347. 7 indexed citations
16.
Śliwowska, Joanna H., et al.. (2014). Insulin: Its role in the central control of reproduction. Physiology & Behavior. 133. 197–206. 76 indexed citations
17.
Cieślak, J., et al.. (2013). Common polymorphism (81Val>Ile) and rare mutations (257Arg>Ser and 335Ile>Ser) of the MC3R gene in obese Polish children and adolescents. Molecular Biology Reports. 40(12). 6893–6898. 11 indexed citations
18.
Skowrońska, Bogda, et al.. (2012). Thyroid axis alterations in childhood obesity.. PubMed. 18(3). 116–9. 8 indexed citations
19.
Nowacka‐Woszuk, Joanna, J. Cieślak, Bogda Skowrońska, et al.. (2011). Missense mutations and polymorphisms of the MC4R gene in Polish obese children and adolescents in relation to the relative body mass index. Journal of Applied Genetics. 52(3). 319–323. 10 indexed citations
20.
Fichna, Piotr & Bogda Skowrońska. (2010). Otyłość u dzieci i młodzieży a zaburzenia prokreacji wieku dojrzałego - spojrzenie pediatry. 1(1). 46–54.

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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