Ewa Pańkowska

1.9k total citations
49 papers, 968 citations indexed

About

Ewa Pańkowska is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Ewa Pańkowska has authored 49 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Endocrinology, Diabetes and Metabolism, 24 papers in Surgery and 22 papers in Genetics. Recurrent topics in Ewa Pańkowska's work include Diabetes Management and Research (31 papers), Pancreatic function and diabetes (24 papers) and Diabetes and associated disorders (22 papers). Ewa Pańkowska is often cited by papers focused on Diabetes Management and Research (31 papers), Pancreatic function and diabetes (24 papers) and Diabetes and associated disorders (22 papers). Ewa Pańkowska collaborates with scholars based in Poland, United Kingdom and Germany. Ewa Pańkowska's co-authors include Marlena Błazik, Agnieszka Szypowska, Lidia Groele, Karin Lange, Piotr Dziechciarz, Hania Szajewska, Thomas Danne, Peter Swift, Dominik Golicki and Agata Skórka and has published in prestigious journals such as Diabetologia, Acta Paediatrica and Diabetes Technology & Therapeutics.

In The Last Decade

Ewa Pańkowska

44 papers receiving 933 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ewa Pańkowska Poland 16 877 553 502 74 63 49 968
Crystal G. Connor United States 13 796 0.9× 451 0.8× 493 1.0× 63 0.9× 41 0.7× 13 946
Goran Petrovski Qatar 15 458 0.5× 278 0.5× 262 0.5× 56 0.8× 47 0.7× 53 590
Helen Phelan Australia 12 434 0.5× 209 0.4× 381 0.8× 50 0.7× 21 0.3× 18 608
Karin Åkesson Sweden 16 428 0.5× 223 0.4× 335 0.7× 18 0.2× 43 0.7× 49 597
Hessa Alkandari Kuwait 13 297 0.3× 173 0.3× 277 0.6× 43 0.6× 24 0.4× 49 535
Johnny-Wei Bai Canada 7 490 0.6× 283 0.5× 244 0.5× 55 0.7× 48 0.8× 9 599
Mimi M Belmonte Canada 15 607 0.7× 231 0.4× 378 0.8× 59 0.8× 25 0.4× 32 824
Frances Wright United States 4 493 0.6× 108 0.2× 148 0.3× 61 0.8× 55 0.9× 6 582
Alicia H. McAuliffe‐Fogarty United States 10 409 0.5× 205 0.4× 217 0.4× 23 0.3× 24 0.4× 21 488
Bettina Petersen United States 12 622 0.7× 171 0.3× 137 0.3× 39 0.5× 120 1.9× 20 777

Countries citing papers authored by Ewa Pańkowska

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Pańkowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewa Pańkowska

This figure shows the co-authorship network connecting the top 25 collaborators of Ewa Pańkowska. A scholar is included among the top collaborators of Ewa Pańkowska 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 Ewa Pańkowska. Ewa Pańkowska 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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Waldron, Sheridan, Imre Rurik, L Madácsy, et al.. (2012). Good practice recommendations on paediatric training programmes for health care professionals in the EU. Pediatric Diabetes. 13. 29–38. 15 indexed citations
4.
Kordonouri, Olga, R. Hartmann, Ewa Pańkowska, et al.. (2012). Sensor augmented pump therapy from onset of type 1 diabetes: late follow-up results of the Pediatric Onset Study. Pediatric Diabetes. 13(7). 515–518. 24 indexed citations
5.
Pańkowska, Ewa, Marlena Błazik, & Lidia Groele. (2011). Does the Fat-Protein Meal Increase Postprandial Glucose Level in Type 1 Diabetes Patients on Insulin Pump: The Conclusion of a Randomized Study. Diabetes Technology & Therapeutics. 14(1). 16–22. 104 indexed citations
6.
Szypowska, Agnieszka, Dominik Golicki, Lidia Groele, & Ewa Pańkowska. (2011). Long-acting insulin analogue detemir compared with NPH insulin in type 1 diabetes. A systematic review and meta-analysis. Polskie Archiwum Medycyny Wewnętrznej. 121(7-8). 237–246. 18 indexed citations
7.
Pańkowska, Ewa, Joanna Nazim, Mieczysław Szalecki, & Mirosława Urban. (2010). Equal Metabolic Control but Superior Caregiver Treatment Satisfaction with Insulin Aspart in Preschool Children. Diabetes Technology & Therapeutics. 12(5). 413–418. 9 indexed citations
8.
Kordonouri, Olga, Ewa Pańkowska, Thomas Kapellen, et al.. (2010). Sensor-augmented pump therapy from the diagnosis of childhood type 1 diabetes: results of the Paediatric Onset Study (ONSET) after 12 months of treatment. Diabetologia. 53(12). 2487–2495. 91 indexed citations
9.
Pańkowska, Ewa, et al.. (2009). Application of novel dual wave meal bolus and its impact on glycated hemoglobin A1c level in children with type 1 diabetes. Pediatric Diabetes. 10(5). 298–303. 68 indexed citations
10.
Szypowska, Agnieszka, Marlena Błazik, Lidia Groele, & Ewa Pańkowska. (2008). [The prevalence of autoimmune thyroid disease and celiac disease in children and adolescents with type 1 diabetes mellitus].. PubMed. 14(4). 221–4. 9 indexed citations
11.
Szypowska, Agnieszka, et al.. (2008). Insulin requirement in preschoolers treated with insulin pumps at the onset of type 1 diabetes mellitus. Acta Paediatrica. 98(3). 527–530. 8 indexed citations
12.
Szypowska, Agnieszka, et al.. (2008). Age‐dependent basal insulin patterns in children with type 1 diabetes treated with continuous subcutaneous insulin infusion. Acta Paediatrica. 98(3). 523–526. 9 indexed citations
13.
Pańkowska, Ewa, et al.. (2008). Basal insulin and total daily insulin dose in children with type 1 diabetes using insulin pumps. Pediatric Diabetes. 9(3pt1). 208–213. 22 indexed citations
14.
Pańkowska, Ewa, Marlena Błazik, Piotr Dziechciarz, Agnieszka Szypowska, & Hania Szajewska. (2008). Continuous subcutaneous insulin infusion vs. multiple daily injections in children with type 1 diabetes: a systematic review and meta-analysis of randomized control trials. Pediatric Diabetes. 10(1). 52–58. 169 indexed citations
15.
Szypowska, Agnieszka, Agata Skórka, & Ewa Pańkowska. (2008). [Lipoatrophy associated with rapid-acting insulin analogues in young patients with type 1 diabetes mellitus].. PubMed. 14(2). 117–8. 6 indexed citations
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Golicki, Dominik, et al.. (2007). Continuous Glucose Monitoring System in children with type 1 diabetes mellitus: a systematic review and meta-analysis. Diabetologia. 51(2). 233–240. 71 indexed citations
18.
Szypowska, Agnieszka, et al.. (2006). [Guidelines concerning insulin dosage in children and adolescents with type 1 diabetes on continuous subcutaneous insulin infusion].. PubMed. 12(1). 45–50. 8 indexed citations
19.
Kowalska, Małgorzata, et al.. (2003). Changes in Lymphocyte Subsets in Children with Newly Diagnosed Type 1 Diabetes Mellitus. Journal of Pediatric Endocrinology and Metabolism. 16(2). 185–91. 4 indexed citations
20.
Pańkowska, Ewa, et al.. (2003). [Metabolic control in young children with type 1 diabetes treated with continuous subcutaneous insulin infusion (insulin pump)].. PubMed. 9(1). 11–5. 3 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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