Ewa Orlewska

2.6k total citations · 2 hit papers
51 papers, 1.7k citations indexed

About

Ewa Orlewska is a scholar working on Economics and Econometrics, General Health Professions and Molecular Biology. According to data from OpenAlex, Ewa Orlewska has authored 51 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Economics and Econometrics, 14 papers in General Health Professions and 9 papers in Molecular Biology. Recurrent topics in Ewa Orlewska's work include Health Systems, Economic Evaluations, Quality of Life (17 papers), Pharmaceutical Economics and Policy (12 papers) and Global Health Care Issues (9 papers). Ewa Orlewska is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (17 papers), Pharmaceutical Economics and Policy (12 papers) and Global Health Care Issues (9 papers). Ewa Orlewska collaborates with scholars based in Poland, Hungary and United States. Ewa Orlewska's co-authors include Sean D. Sullivan, J. Jaime, Josephine Mauskopf, Karen M. Lee, Maria Pietronilla Penna, Mark Minchin, Federico Augustovski, John B. Watkins, Paul Trueman and Mark Nuijten and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Environmental Research and Public Health.

In The Last Decade

Ewa Orlewska

45 papers receiving 1.6k citations

Hit Papers

Budget Impact Analysis—Pr... 2007 2026 2013 2019 2013 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ewa Orlewska Poland 11 697 331 204 161 158 51 1.7k
Ágota Szende United Kingdom 14 751 1.1× 440 1.3× 265 1.3× 297 1.8× 133 0.8× 42 2.0k
Anita Burrell United States 9 383 0.5× 129 0.4× 156 0.8× 139 0.9× 181 1.1× 22 2.0k
Thomas Mittendorf Germany 23 465 0.7× 248 0.7× 308 1.5× 151 0.9× 161 1.0× 105 1.7k
Chris McCabe United Kingdom 11 919 1.3× 464 1.4× 278 1.4× 267 1.7× 145 0.9× 15 2.0k
Keith Tolley United Kingdom 26 446 0.6× 298 0.9× 312 1.5× 114 0.7× 139 0.9× 96 1.6k
Hui‐Chu Lang Taiwan 19 381 0.5× 231 0.7× 263 1.3× 375 2.3× 184 1.2× 44 1.5k
Chris Skedgel Canada 21 319 0.5× 128 0.4× 101 0.5× 159 1.0× 198 1.3× 76 1.3k
Takeru Shiroiwa Japan 25 978 1.4× 478 1.4× 270 1.3× 304 1.9× 519 3.3× 90 2.5k
Beate Jahn Austria 19 491 0.7× 223 0.7× 210 1.0× 162 1.0× 202 1.3× 75 1.5k
Neil Wintfeld United States 22 319 0.5× 361 1.1× 470 2.3× 207 1.3× 116 0.7× 42 2.0k

Countries citing papers authored by Ewa Orlewska

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Orlewska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewa Orlewska

This figure shows the co-authorship network connecting the top 25 collaborators of Ewa Orlewska. A scholar is included among the top collaborators of Ewa Orlewska 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 Orlewska. Ewa Orlewska 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.
Orlewska, Ewa, et al.. (2024). NOS2 Polymorphism in Aspect of Left and Right-Sided Colorectal Cancer. Journal of Clinical Medicine. 13(4). 937–937. 1 indexed citations
2.
Śliwczyński, Andrzej, et al.. (2024). Assessment of the dynamics of inpatient health care delivery in Poland before and throughout the COVID-19 pandemic. Scientific Reports. 14(1). 11975–11975.
3.
Głuszek, Stanisław, et al.. (2023). Glutathione S-Transferase P1 Genetic Variant’s Influence on the HbA1c Level in Type Two Diabetic Patients. International Journal of Environmental Research and Public Health. 20(2). 1520–1520. 2 indexed citations
4.
Zarębska‐Michaluk, Dorota, et al.. (2023). Association between Glutathione S-Transferases Gene Variants and COVID-19 Severity in Previously Vaccinated and Unvaccinated Polish Patients with Confirmed SARS-CoV-2 Infection. International Journal of Environmental Research and Public Health. 20(4). 3752–3752. 6 indexed citations
5.
Kozieł, Dorota, et al.. (2022). Burden of COVID-19 Mortality and Morbidity in Poland in 2020. International Journal of Environmental Research and Public Health. 19(9). 5432–5432. 5 indexed citations
6.
Głuszek, Stanisław, et al.. (2020). Glutathione S-transferases gene polymorphism influence on the age of diabetes type 2 onset. BMJ Open Diabetes Research & Care. 8(2). e001773–e001773. 9 indexed citations
7.
Śliwczyński, Andrzej, et al.. (2017). Drug-class-specific changes in the volume and cost of antidiabetic medications in Poland between 2012 and 2015. PLoS ONE. 12(6). e0178764–e0178764. 12 indexed citations
8.
Selmaj, Krzysztof, Gisela Kobelt, Jenny Berg, et al.. (2017). New insights into the burden and costs of multiple sclerosis in Europe: Results for Poland. Multiple Sclerosis Journal. 23(2_suppl). 130–142. 15 indexed citations
9.
10.
Śliwczyński, Andrzej, et al.. (2016). The implementation of integrated care for cardiovascular diseases in Poland. International Journal of Integrated Care. 16(6). 368–368. 2 indexed citations
11.
Sullivan, Sean D., Josephine Mauskopf, Federico Augustovski, et al.. (2013). Budget Impact Analysis—Principles of Good Practice: Report of the ISPOR 2012 Budget Impact Analysis Good Practice II Task Force. Value in Health. 17(1). 5–14. 739 indexed citations breakdown →
12.
Péntek, Márta, et al.. (2012). [Health related quality of life and disease burden of patients with schizophrenia in Hungary].. PubMed. 27(1). 4–17. 6 indexed citations
13.
Orlewska, Ewa & László Gulàcsi. (2011). PDB23 Budget Impact Analysis of the Reimbursement of Long-Acting Insulin Analogues in Poland. Value in Health. 14(7). A475–A475. 1 indexed citations
14.
Orlewska, Ewa. (2011). Challenges and changes in the Polish healthcare system. Society and Economy. 33(3). 575–594. 3 indexed citations
16.
Orlewska, Ewa, Paweł Mierzejewski, Jacek Zaborski, et al.. (2004). A prospective study of the financial costs of multiple sclerosis at different stages of the disease. European Journal of Neurology. 12(1). 31–39. 37 indexed citations
17.
Orlewska, Ewa. (2003). Economic aspects in medical decision-making. Transplantation Proceedings. 35(3). 1227–1229. 2 indexed citations
18.
19.
Orlewska, Ewa, et al.. (2001). PHP5: POLISH GUIDELINES FOR CONDUCTING PHARMACOECONOMIC EVALUATIONS IN COMPARISON TO INTERNATIONAL HEALTH ECONOMIC GUIDELINES. Value in Health. 4(2). 170–170. 1 indexed citations
20.
Orlewska, Ewa, Paweł Mierzejewski, & Anna Członkowska. (2000). PNR1: COST-EFFECTIVENESS AND COST-UTILITY ANALYSIS OF INTERFERON BETA-IB IN RELAPSING-REMITTING MULTIPLE SCLEROSIS IN POLAND (2-YEARS PERSPECTIVE). Value in Health. 3(5). 362–363. 2 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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