Dániel Priksz

560 citations
42 papers · 408 · h-index 14

Impact in

Papers in

Dániel Priksz

39 papers receiving 399 citations

Peers

Dániel Priksz
Comparison fields: 5 of 97
  • Biochemistry 33
  • Cardiology and Cardiovascular Medicine 104
  • Geriatrics and Gerontology 14
  • Aging 6
  • Neurology 26
Replace Mohamed Samir Ahmed Zaki with:
Mohamed Samir Ahmed Zaki Saudi Arabia
Mariann Bombicz Hungary
Nahid Azad Iran
Yu‐Ting Chiang Taiwan
Claudia Borșa Romania
Zhiyuan Wang China
Era Gorica Switzerland
Candace J. Bassett United States
Xudong Ding China
Yusra Al-Dhaheri United Arab Emirates
Dániel Priksz relative to Mohamed Samir Ahmed Zaki Saudi Arabia Mohamed Samir Ahmed Zaki's profile →
Citations per field
00.5×1.5×2.3×
Mohamed Samir Ahmed Zaki · 1×
Citations per year

Countries citing papers authored by Dániel Priksz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201632
2 201331
3 201826
4 201824
5 201621
6 201817
7 201616
8 201916
9 201915
10 201315
11 201715
12 201814
13 201714
14 201714
15 202213
16 202011
17 202210
18 202010
19 20219
20 20229

About Dániel Priksz

Dániel Priksz is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Surgery and Pathology and Forensic Medicine, having authored 42 papers that have together received 408 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Heme Oxygenase-1 and Carbon Monoxide (7 papers), Cardiomyopathy and Myosin Studies (6 papers), Cardiovascular Function and Risk Factors (5 papers), Cardiac Ischemia and Reperfusion (5 papers), Retinal Diseases and Treatments (4 papers), Retinal Development and Disorders (4 papers) and Sirtuins and Resveratrol in Medicine (3 papers). The work is most often cited by research in Biochemistry (33 citations), Cardiology and Cardiovascular Medicine (104 citations), Geriatrics and Gerontology (14 citations), Aging (6 citations) and Neurology (26 citations). Dániel Priksz has collaborated with scholars based in Hungary, Romania and United States. Frequent co-authors include Béla Juhász, Mariann Bombicz, Rudolf Gesztelyi, Zoltán Szilvássy, Balázs Varga, Rita Kiss, Anikó Pósa, Renáta Szabó, Attila Kertész and József Balla. Their work appears in journals such as International Journal of Molecular Sciences, Molecules, Biomedicines, Antioxidants 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.

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