Beatrix Péter

36 papers receiving 827 citations

Peers

Beatrix Péter
Comparison fields: 5 of 105
  • Immunology and Allergy 69
  • Cell Biology 176
  • Biomedical Engineering 427
  • Surfaces, Coatings and Films 68
  • Biophysics 38
Replace Inna Székács with:
Inna Székács Hungary
András Saftics Hungary
Simon J. Attwood United Kingdom
Sabil Huda United States
Joanna Wiltowska-Zuber Poland
Nitin Agrawal United States
Ofélia Maniti France
Constanze Lamprecht Germany
Dhiraj Bhatia India
Lilia A. Chtcheglova Austria
Beatrix Péter relative to Inna Székács Hungary Inna Székács's profile →
Citations per field
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Inna Székács · 1×
Citations per year

Countries citing papers authored by Beatrix Péter

Since Specialization
Citations

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

Fields of papers citing papers by Beatrix Péter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201490
2 202072
3 201671
4 201964
5 201754
6 202051
7 202143
8 201840
9 201840
10 201434
11 201927
12 201526
13 201824
14 201622
15 202221
16 201415
17 201714
18 202214
19 201913
20 201912

About Beatrix Péter

Beatrix Péter is a scholar working on Biomedical Engineering, Molecular Biology, Cell Biology, Atomic and Molecular Physics, and Optics and Radiology, Nuclear Medicine and Imaging, having authored 39 papers that have together received 836 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (11 papers), Cellular Mechanics and Interactions (8 papers), Nanofabrication and Lithography Techniques (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), 3D Printing in Biomedical Research (6 papers), Cell Adhesion Molecules Research (5 papers), Mechanical and Optical Resonators (4 papers) and Force Microscopy Techniques and Applications (4 papers). The work is most often cited by research in Immunology and Allergy (69 citations), Cell Biology (176 citations), Biomedical Engineering (427 citations), Surfaces, Coatings and Films (68 citations) and Biophysics (38 citations). Beatrix Péter has collaborated with scholars based in Hungary, United Kingdom and Japan. Frequent co-authors include Róbert Horváth, Inna Székács, Szilvia Bősze, Bálint Szabó, Sándor Kurunczi, András Saftics, Norbert Orgován, Tamás Gerecsei, Jeremy J. Ramsden and Anna Erdei. Their work appears in journals such as Scientific Reports, Biosensors, Journal of Colloid and Interface Science, Advances in Colloid and Interface Science and Sensors and Actuators B Chemical.

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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