Maciej Niewada
- Economics and Econometrics top 1%
- Epidemiology top 5%
- General Health Professions top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Rehabilitation top 1%
- Co-authors
- Dominik GolickiA. Simon PickardMathieu F. JanssenJan J.V. BusschbachClaire GudexL ScalonePaul SwinburnAnna Członkowska
- Topics
- Health Systems, Economic Evaluations, Quality of Life (42 papers)Acute Ischemic Stroke Management (29 papers)Pharmaceutical Economics and Policy (15 papers)
- Partner nations
- PolandUnited StatesNetherlands
In The Last Decade
Maciej Niewada
121 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Economics and Econometrics 1.0k
- Epidemiology 754
- General Health Professions 559
- Cardiology and Cardiovascular Medicine 404
- Rehabilitation 347
Countries citing papers authored by Maciej Niewada
This map shows the geographic impact of Maciej Niewada'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 Maciej Niewada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maciej Niewada more than expected).
Fields of papers citing papers by Maciej Niewada
This network shows the impact of papers produced by Maciej Niewada. 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 Maciej Niewada. The network helps show where Maciej Niewada may publish in the future.
Co-authorship network of co-authors of Maciej Niewada
This figure shows the co-authorship network connecting the top 25 collaborators of Maciej Niewada. A scholar is included among the top collaborators of Maciej Niewada 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 Maciej Niewada. Maciej Niewada 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 | 0 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 12 | |
| 6 | 22 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 67 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | Porównanie kosztów terapii lekami omijającymi inhibitor w leczeniu łagodnych i umiarkowanych krwawień u chorych z hemofilią wrodzoną powikłaną inhibitorem w Polsce | 0 |
| 17 | Antihypertensive treatment among 75 thousand patients in primary care settings - POZ-NAD study | 1 |
| 18 | Costs of ineffective hypertension treatment | 2 |
| 19 | 17 | |
| 20 | Cost of Diabetes Type 2 in Poland (CODIP) | 2 |
About Maciej Niewada
Maciej Niewada is a scholar working on Internal Medicine, Economics and Econometrics and Rehabilitation, having authored 128 papers that have together received 3.2k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (42 papers), Acute Ischemic Stroke Management (29 papers) and Pharmaceutical Economics and Policy (15 papers). The work is most often cited by research in Rehabilitation (347 citations), Internal Medicine (175 citations) and Economics and Econometrics (1.0k citations). Maciej Niewada has collaborated with scholars based in Poland, United States and Netherlands. Frequent co-authors include Dominik Golicki, A. Simon Pickard, Mathieu F. Janssen, Jan J.V. Busschbach, Claire Gudex, L Scalone, Paul Swinburn, Anna Członkowska, Adam Kobayashi and Michał Jakubczyk. Their work appears in journals such as Stroke, Cochrane Database of Systematic Reviews and European Heart Journal.
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.