Joanna Nazim
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Genetics
- Molecular Biology
- Pathology and Forensic Medicine
- Co-authors
- Jerzy StarzykJan SkupieńMaciej T. MałeckiAnna WędrychowiczMieczysław SzaleckiKrystyna SztefkoWojciech FendlerMałgorzata Wójcik
- Topics
- Diabetes and associated disorders (12 papers)Diabetes Management and Research (11 papers)Pancreatic function and diabetes (10 papers)
- Partner nations
- PolandUnited StatesItaly
In The Last Decade
Joanna Nazim
22 papers receiving 265 citations
Peers
Comparison fields: 5 of 47
- Surgery 178
- Endocrinology, Diabetes and Metabolism 176
- Genetics 153
- Molecular Biology 54
- Pathology and Forensic Medicine 22
Countries citing papers authored by Joanna Nazim
This map shows the geographic impact of Joanna Nazim'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 Joanna Nazim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanna Nazim more than expected).
Fields of papers citing papers by Joanna Nazim
This network shows the impact of papers produced by Joanna Nazim. 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 Joanna Nazim. The network helps show where Joanna Nazim may publish in the future.
Co-authorship network of co-authors of Joanna Nazim
This figure shows the co-authorship network connecting the top 25 collaborators of Joanna Nazim. A scholar is included among the top collaborators of Joanna Nazim 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 Joanna Nazim. Joanna Nazim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 12 | |
| 4 | 9 | |
| 5 | 22 | |
| 6 | 28 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 17 | |
| 10 | [Quality of treatment in children with type 1 diabetes based on the Polish Prospective Pump Programme]. | 2 |
| 11 | 9 | |
| 12 | 32 | |
| 13 | [Disorders of lipid metabolism in adolescents with simple obesity]. | 2 |
| 14 | [Obesity in children and adolescents and diabetes]. | 5 |
| 15 | [The usage of the personal insulin pump for treatment of a 7 week infant with neonatal diabetes mellitus]. | 2 |
| 16 | 22 | |
| 17 | 26 | |
| 18 | 2 | |
| 19 | Continuous subcutaneous insulin infusion in preschool children with type 1 diabetes mellitus | 1 |
| 20 | [Thyroid peroxidase antibodies and thyroid diseases in children and adolescents with newly diagnosed type I diabetes]. | 5 |
About Joanna Nazim
Joanna Nazim is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 23 papers that have together received 275 indexed citations. Recurring topics across this work include Diabetes and associated disorders (12 papers), Diabetes Management and Research (11 papers) and Pancreatic function and diabetes (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (176 citations), Genetics (153 citations) and Surgery (178 citations). Joanna Nazim has collaborated with scholars based in Poland, United States and Italy. Frequent co-authors include Jerzy Starzyk, Jan Skupień, Maciej T. Małecki, Anna Wędrychowicz, Mieczysław Szalecki, Krystyna Sztefko, Wojciech Fendler, Małgorzata Wójcik, Tomasz Klupa and Wojciech Młynarski. Their work appears in journals such as Diabetes Care, Diabetes and Journal of Pediatric Gastroenterology and Nutrition.
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.