Dániel Priksz
Impact in
-
- Phytochemicals and Antioxidant Activities
-
- Cardiovascular Function and Risk Factors
- Chemotherapy-induced cardiotoxicity and mitigation
Papers in
-
- Heme Oxygenase-1 and Carbon Monoxide 7
- Retinal Development and Disorders 4
-
- Cardiomyopathy and Myosin Studies 5
- Co-authors
- Béla Juhász (38 shared papers)Mariann Bombicz (25 shared papers)Rudolf Gesztelyi (21 shared papers)Zoltán Szilvássy (21 shared papers)Balázs Varga (14 shared papers)Rita Kiss (12 shared papers)Anikó Pósa (14 shared papers)Attila Kertész (5 shared papers)
In The Last Decade
Dániel Priksz
40 papers receiving 430 citations
Peers
Comparison fields: 5 of 92
- Biochemistry 30
- Cardiology and Cardiovascular Medicine 93
- Geriatrics and Gerontology 14
- Neurology 26
- Complementary and alternative medicine 25
Countries citing papers authored by Dániel Priksz
This map shows the geographic impact of Dániel Priksz'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 Dániel Priksz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dániel Priksz more than expected).
Fields of papers citing papers by Dániel Priksz
This network shows the impact of papers produced by Dániel Priksz. 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 Dániel Priksz. The network helps show where Dániel Priksz may publish in the future.
Co-authors
The 25 scholars most cited alongside Dániel Priksz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 33 | |
| 2 | 2013 | 32 | |
| 3 | 2018 | 27 | |
| 4 | 2018 | 26 | |
| 5 | 2016 | 22 | |
| 6 | 2017 | 19 | |
| 7 | 2017 | 18 | |
| 8 | 2018 | 17 | |
| 9 | 2019 | 17 | |
| 10 | 2016 | 16 | |
| 11 | 2018 | 16 | |
| 12 | 2019 | 16 | |
| 13 | 2013 | 15 | |
| 14 | 2017 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2022 | 10 | |
| 18 | 2020 | 10 | |
| 19 | 2022 | 10 | |
| 20 | 2021 | 9 |
About Dániel Priksz
Dániel Priksz is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Surgery and Pharmacology, having authored 43 papers that have together received 438 indexed citations. Recurring topics across this work include Heme Oxygenase-1 and Carbon Monoxide (7 papers), Adipose Tissue and Metabolism (7 papers), Cardiomyopathy and Myosin Studies (5 papers), Cardiac Ischemia and Reperfusion (4 papers), Retinal Diseases and Treatments (4 papers), Retinal Development and Disorders (4 papers), Cannabis and Cannabinoid Research (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Biochemistry (30 citations), Cardiology and Cardiovascular Medicine (93 citations), Geriatrics and Gerontology (14 citations), Neurology (26 citations) and Complementary and alternative medicine (25 citations). Dániel Priksz has collaborated with scholars based in Hungary, Romania and Germany. Frequent co-authors include Béla Juhász, Mariann Bombicz, Rudolf Gesztelyi, Zoltán Szilvássy, Balázs Varga, Rita Kiss, Anikó Pósa, Attila Kertész, Renáta Szabó and Balázs R. Varga. Their work appears in journals such as International Journal of Molecular Sciences, Antioxidants, Molecules, Biomedicines and GeroScience.
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.