Artur Bossowski

3.6k total citations
168 papers, 2.2k citations indexed

About

Artur Bossowski is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Artur Bossowski has authored 168 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Endocrinology, Diabetes and Metabolism, 64 papers in Genetics and 47 papers in Surgery. Recurrent topics in Artur Bossowski's work include Diabetes and associated disorders (54 papers), Thyroid Disorders and Treatments (34 papers) and Diabetes Management and Research (29 papers). Artur Bossowski is often cited by papers focused on Diabetes and associated disorders (54 papers), Thyroid Disorders and Treatments (34 papers) and Diabetes Management and Research (29 papers). Artur Bossowski collaborates with scholars based in Poland, United States and United Kingdom. Artur Bossowski's co-authors include Barbara Głowińska‐Olszewska, Włodzimierz Łuczyński, Anna Bossowska, Anna Stasiak‐Barmuta, Agnieszka Szadkowska, Małgorzata Myśliwiec, Mirosława Urban, Wojciech Młynarski, Przemysława Jarosz‐Chobot and Radosław Owczuk and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and International Journal of Molecular Sciences.

In The Last Decade

Artur Bossowski

160 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Artur Bossowski Poland 23 952 719 665 429 298 168 2.2k
Hironori Yamasaki Japan 31 1.0k 1.1× 872 1.2× 408 0.6× 773 1.8× 615 2.1× 128 2.7k
Helen Stevens United Kingdom 14 781 0.8× 1.9k 2.6× 810 1.2× 1.0k 2.4× 621 2.1× 15 2.9k
W. A. Scherbaum Germany 23 641 0.7× 401 0.6× 233 0.4× 366 0.9× 223 0.7× 76 1.4k
Velja Mijatovic Netherlands 31 799 0.8× 688 1.0× 272 0.4× 283 0.7× 132 0.4× 147 2.7k
Enza Mozzillo Italy 21 495 0.5× 527 0.7× 331 0.5× 413 1.0× 313 1.1× 91 1.6k
John Rogus United States 25 414 0.4× 445 0.6× 271 0.4× 365 0.9× 357 1.2× 42 1.9k
Danièle Dubois‐Laforgue France 23 563 0.6× 945 1.3× 135 0.2× 916 2.1× 571 1.9× 56 1.8k
Agnieszka Szadkowska Poland 22 1.1k 1.1× 868 1.2× 345 0.5× 770 1.8× 225 0.8× 147 1.9k
L Madácsy Hungary 18 427 0.4× 587 0.8× 165 0.2× 622 1.4× 162 0.5× 106 1.3k
Norio Abiru Japan 32 1.8k 1.8× 2.5k 3.4× 1.3k 1.9× 1.8k 4.1× 446 1.5× 131 3.8k

Countries citing papers authored by Artur Bossowski

Since Specialization
Citations

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

Fields of papers citing papers by Artur Bossowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Artur Bossowski

This figure shows the co-authorship network connecting the top 25 collaborators of Artur Bossowski. A scholar is included among the top collaborators of Artur Bossowski 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 Artur Bossowski. Artur Bossowski 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
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Bossowski, Artur, et al.. (2024). Role of miRNA in Cardiovascular Diseases in Children—Systematic Review. International Journal of Molecular Sciences. 25(2). 956–956. 3 indexed citations
4.
Sulewska, Anetta, Agnieszka Kulczyńska‐Przybik, Maciej Dulewicz, et al.. (2024). Potential Role of Selected miRNAs in the Pathogenesis of Autoimmune Thyroid Diseases in Children and Adolescents. Biomedicines. 12(4). 731–731. 1 indexed citations
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Walczak, Mieczysław, Beata Pyrżak, Anna Majcher, et al.. (2023). Difficulties in Interpreting IGF-1 Levels in Short Stature Children Born Small for Gestational Age (SGA) Treated with Recombinant Human Growth Hormone (rhGH) Based on Data from Six Clinical Centers in Poland. Journal of Clinical Medicine. 12(13). 4392–4392. 2 indexed citations
7.
Abramowicz, Paweł, et al.. (2022). Coincidence of juvenile idiopathic arthritis and type 1 diabetes: a case-based review. Rheumatology International. 42(2). 371–378. 11 indexed citations
8.
Maharaj, Avinaash, Sumana Chatterjee, Pratik Shah, et al.. (2021). Genetic Characterization of Short Stature Patients With Overlapping Features of Growth Hormone Insensitivity Syndromes. The Journal of Clinical Endocrinology & Metabolism. 106(11). e4716–e4733. 13 indexed citations
9.
Storr, Helen L., et al.. (2019). Bloom Syndrome in 7-Year-Old Girl Diagnosed with Short Stature. 92. 1 indexed citations
10.
Bossowski, Artur, et al.. (2019). Assessment of Serum Concentrations of Adropin, Afamin, and Neudesin in Children with Type 1 Diabetes. BioMed Research International. 2019. 1–6. 23 indexed citations
11.
Góralczyk-Bińkowska, Aleksandra, Artur Bossowski, Joanna Gościk, et al.. (2018). Genetic Susceptibility to Type 1 Diabetes in Children: Analysis of Polymorphisms rs1990760 - IFIH1, rs20541 - IL13, rs231775 - CTLA 4. 89. 1 indexed citations
12.
Beń‐Skowronek, Iwona, Anna Kucharská, Maciej Hilczer, et al.. (2016). Screening in specific categories of neonates exposed to congenital hypothyroidism. 15(2). 47–52. 1 indexed citations
13.
Gościk, Joanna, et al.. (2015). Analysis of Chosen Polymorphisms rs5742909 C/T - CTLA4, rs7522061 C/T - FCRL3, rs7138803 A/G - FAIM2 in Pathogenesis of Autoimmune Thyroid Diseases in Children. 1 indexed citations
14.
Moniuszko, Marcin, Barbara Głowińska‐Olszewska, Małgorzata Rusak, et al.. (2013). Decreased CD127 Expression on CD4+ T-Cells and Elevated Frequencies of CD4+CD25+CD127− T-Cells in Children with Long-Lasting Type 1 Diabetes. SHILAP Revista de lepidopterología. 2013. 1–11. 10 indexed citations
15.
Łuczyński, Włodzimierz, et al.. (2012). The association of the FTO rs9939609 polymorphism with obesity and metabolic risk factors for cardiovascular diseases in Polish children.. PubMed. 63(3). 241–8. 40 indexed citations
16.
Chojnowska, Sylwia, et al.. (2012). Salivary hexosaminidase B in children with type 1 diabetes. Progress in Health Sciences. 2(2). 1 indexed citations
17.
Głowińska‐Olszewska, Barbara, et al.. (2011). Współczesne metody samokontroli oraz ich zastosowanie u dzieci i młodzieży z cukrzycą typu 1. Problemy Pielęgniarstwa. 19(4). 557–565. 1 indexed citations
18.
Łuczyński, Włodzimierz, et al.. (2010). [Overweight, obesity and metabolic syndrome in children with type 1 diabetes melllitus].. PubMed. 16(2). 83–8. 12 indexed citations
19.
Bossowski, Artur, et al.. (2009). The activity of gastric ghrelin positive cells in obese patients treated surgically.. SHILAP Revista de lepidopterología. 2 indexed citations
20.
Bossowski, Artur, et al.. (2004). [Analysis of costimulatory molecules (CD28-CTLA-4/B7) expression on chosen mononuclear cells in adolescents with Graves' disease during methimazole therapy].. PubMed. 10(2). 93–101. 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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