Gabor Patonay

4.9k citations
158 papers · 4.0k · h-index 35

Impact in

    • Analytical Chemistry and Sensors
  • Spectroscopy top 0.5%
    • Analytical Chemistry and Chromatography
    • Molecular Sensors and Ion Detection

Papers in

Gabor Patonay

156 papers receiving 3.8k citations

Peers

Gabor Patonay
Comparison fields: 5 of 136
  • Bioengineering 455
  • Spectroscopy 1.2k
  • Physical and Theoretical Chemistry 400
  • Analytical Chemistry 366
  • Biophysics 210
Replace Doo Soo Chung with:
Doo Soo Chung South Korea
Daqian Song China
Christoph J. Fahrni United States
Dallas L. Rabenstein United States
Hervé Cottet France
Ping Liu China
David S. Hage United States
Ernst Bayer Germany
Yu‐Jie Ding China
Feng‐Lei Jiang China
Gabor Patonay relative to Doo Soo Chung South Korea Doo Soo Chung's profile →
Citations per field
00.5×3.7×
Doo Soo Chung · 1×
Citations per year

Countries citing papers authored by Gabor Patonay

Since Specialization
Citations

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

Fields of papers citing papers by Gabor Patonay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011325
2 1995160
3 1992158
4 1992137
5 2004134
6 1991112
7 2011103
8 2002101
9 2015100
10 199381
11 198880
12 198972
13 199165
14 199560
15 199359
16 198558
17 201257
18 198655
19 199253
20 200550

About Gabor Patonay

Gabor Patonay is a scholar working on Spectroscopy, Molecular Biology, Biomedical Engineering, Bioengineering and Organic Chemistry, having authored 158 papers that have together received 4.0k indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (39 papers), Analytical Chemistry and Chromatography (33 papers), Protein Interaction Studies and Fluorescence Analysis (24 papers), Photochemistry and Electron Transfer Studies (19 papers), Surfactants and Colloidal Systems (17 papers), Microfluidic and Capillary Electrophoresis Applications (14 papers), Photodynamic Therapy Research Studies (12 papers) and Biosensors and Analytical Detection (12 papers). The work is most often cited by research in Bioengineering (455 citations), Spectroscopy (1.2k citations), Physical and Theoretical Chemistry (400 citations), Analytical Chemistry (366 citations) and Biophysics (210 citations). Gabor Patonay has collaborated with scholars based in United States, Egypt and South Korea. Frequent co-authors include Lucjan Strękowski, Isiah M. Warner, Małgorzata Lipowska, Narasimhachari Narayanan, Miquel D. Antoine, John Sowell, Gregory O. Nelson, Maged Henary, Joan Mason and Jozef Saloň. Their work appears in journals such as Analytical Chemistry, Applied Spectroscopy, Instrumentation Science & Technology, Talanta and Analytical Letters.

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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