Ewa Pańkowska

1.9k citations
49 papers · 970 · h-index 16

Impact in

    • Diabetes Management and Research
    • Diabetes Treatment and Management
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients
    • Diabetes Management and Education
  • Genetics top 5%
    • Diabetes and associated disorders

Papers in

Ewa Pańkowska

44 papers receiving 937 citations

Peers

Ewa Pańkowska
Comparison fields: 5 of 63
  • Endocrinology, Diabetes and Metabolism 804
  • Genetics 315
  • Surgery 326
  • Speech and Hearing 16
  • Family Practice 4
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Ewa Pańkowska, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ewa Pańkowska Line = papers co-authored together Ewa Pańkowska links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008170
2 2011104
3 2014101
4 201092
5 200771
6 200968
7 201043
8 200543
9 201224
10 201224
11 200822
12 201818
13 201118
14 200715
15 201615
16 201215
17
[Adiponectin as an adipose tissue hormone and its role in the metabolic syndrome and cardiovascular disease].
200510
18 20089
19
[The prevalence of autoimmune thyroid disease and celiac disease in children and adolescents with type 1 diabetes mellitus].
20089
20 20109

About Ewa Pańkowska

Ewa Pańkowska is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Cardiology and Cardiovascular Medicine and Sociology and Political Science, having authored 49 papers that have together received 970 indexed citations. Recurring topics across this work include Diabetes Management and Research (25 papers), Pancreatic function and diabetes (8 papers), Diabetes and associated disorders (5 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), Catholicism, Bioethics, Media, Education (2 papers), Celiac Disease Research and Management (2 papers), Eastern European Communism and Reforms (2 papers) and Education and Cultural Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (804 citations), Genetics (315 citations), Surgery (326 citations), Speech and Hearing (16 citations) and Family Practice (4 citations). Ewa Pańkowska has collaborated with scholars based in Poland, United Kingdom and Germany. Frequent co-authors include Marlena Błazik, Agnieszka Szypowska, Lidia Groele, Karin Lange, Hania Szajewska, Piotr Dziechciarz, Thomas Danne, Peter Swift, Dominik Golicki and Agata Skórka. Their work appears in journals such as Pediatric Diabetes, Journal of Diabetes Science and Technology, Diabetes Technology & Therapeutics, Acta Paediatrica and Diabetologia.

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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