Dániel Patkó

585 citations
23 papers · 456 · h-index 13

Impact in

Papers in

Dániel Patkó

23 papers receiving 442 citations

Peers

Dániel Patkó
Comparison fields: 5 of 82
  • Surfaces, Coatings and Films 49
  • Bioengineering 28
  • Biomedical Engineering 215
  • Biophysics 23
  • Immunology and Allergy 12
Replace Pavak K. Shah with:
Pavak K. Shah United States
J. Damon Hoff United States
Klaus R. Neumaier Germany
Cristina Polonschii Romania
Rudolf Robelek Germany
Marinus A. Otte Spain
Chun L. Yeung United Kingdom
Ha Minh Hiep Japan
Douglas D. Root United States
Philipp Studer United Kingdom
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Citations per field
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Pavak K. Shah · 1×
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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201464
2 201252
3 201345
4 202134
5 201431
6 201328
7 201528
8 201824
9 202221
10 201618
11 201318
12 201413
13 201213
14 201212
15 202310
16 201710
17 20218
18 20157
19 20247
20 20164

About Dániel Patkó

Dániel Patkó is a scholar working on Biomedical Engineering, Molecular Biology, Electrical and Electronic Engineering, Plant Science and Surfaces, Coatings and Films, having authored 23 papers that have together received 456 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (4 papers), Plant nutrient uptake and metabolism (3 papers), Biosensors and Analytical Detection (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Analytical Chemistry and Sensors (3 papers), Polymer Surface Interaction Studies (2 papers), Force Microscopy Techniques and Applications (2 papers) and Advanced Fiber Optic Sensors (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (49 citations), Bioengineering (28 citations), Biomedical Engineering (215 citations), Biophysics (23 citations) and Immunology and Allergy (12 citations). Dániel Patkó has collaborated with scholars based in Hungary, Spain and United Kingdom. Frequent co-authors include Róbert Horváth, Ferenc Vonderviszt, Sándor Kurunczi, Norbert Orgován, Kaspar Cottier, Lionel Dupuy, Zsolt Mártonfalvi, Miklós Kellermayer, Jeremy J. Ramsden and Michael P. MacDonald. Their work appears in journals such as Sensors and Actuators B Chemical, Plant and Soil, Journal of Biomedical Optics, Journal of Solid State Chemistry and Optics Express.

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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