Dániel Patkó

565 citations
24 papers · 424 · h-index 13

Impact in

Papers in

    • Microfluidic and Bio-sensing Technologies 5
    • Microfluidic and Capillary Electrophoresis Applications 3
    • Biosensors and Analytical Detection 3
    • Lipid Membrane Structure and Behavior 3
    • Advanced biosensing and bioanalysis techniques 2

Dániel Patkó

23 papers receiving 409 citations

Peers

Dániel Patkó
Comparison fields: 5 of 80
  • Surfaces, Coatings and Films 52
  • Biomedical Engineering 208
  • Bioengineering 26
  • Biophysics 20
  • Molecular Biology 126
Replace Joshua A. Maurer with:
Joshua A. Maurer United States
J. Damon Hoff United States
Rebecca Soffe Australia
Michael C. Howland United States
David Appleyard United States
Arkadiusz Ptak Poland
Hyerin Song South Korea
Rudolf Robelek Germany
Yunyun Wei China
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Citations per field
00.5×2.9×
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Citations per year

Countries citing papers authored by Dániel Patkó

Since Specialization
Citations

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

Fields of papers citing papers by Dániel Patkó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dániel Patkó, 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 Patkó Line = papers co-authored together Dániel Patkó links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201460
2 201249
3 201344
4 202133
5 201428
6 201526
7 201325
8 201822
9 201618
10 202218
11 201318
12 201212
13 201212
14 201411
15 201710
16 20238
17 20157
18 20217
19 20247
20 20164

About Dániel Patkó

Dániel Patkó is a scholar working on Biomedical Engineering, Molecular Biology, Surfaces, Coatings and Films, Electrical and Electronic Engineering and Plant Science, having authored 24 papers that have together received 424 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (5 papers), Plant nutrient uptake and metabolism (3 papers), Lipid Membrane Structure and Behavior (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Polymer Surface Interaction Studies (3 papers), Biosensors and Analytical Detection (3 papers), Analytical Chemistry and Sensors (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (52 citations), Biomedical Engineering (208 citations), Bioengineering (26 citations), Biophysics (20 citations) and Molecular Biology (126 citations). Dániel Patkó has collaborated with scholars based in Hungary, United Kingdom and Spain. Frequent co-authors include Róbert Horváth, Ferenc Vonderviszt, Sándor Kurunczi, Norbert Orgován, Kaspar Cottier, Lionel Dupuy, Jeremy J. Ramsden, Miklós Kellermayer, Zsolt Mártonfalvi and Michael P. MacDonald. Their work appears in journals such as Sensors and Actuators B Chemical, Plant and Soil, Optics Express, Applied Surface Science and Analytical Chemistry.

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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