David Panáček

679 citations
29 papers · 464 · h-index 11

Impact in

Papers in

    • Graphene and Nanomaterials Applications 8
    • Biosensors and Analytical Detection 3
    • Carbon and Quantum Dots Applications 6
    • Nanoparticles: synthesis and applications 2
    • Nanocluster Synthesis and Applications 2

David Panáček

27 papers receiving 462 citations

Peers

David Panáček
Comparison fields: 5 of 77
  • Biomedical Engineering 217
  • Electrochemistry 28
  • Bioengineering 21
  • Materials Chemistry 160
  • Infectious Diseases 56
Replace Ignatius Julian Dinshaw with:
Ignatius Julian Dinshaw Malaysia
Yuchan Ma China
Pradakshina Sharma India
Sabrina A. Camacho Brazil
Haisong Zheng China
Le Minh Tu Phan South Korea
Maumita Das Mukherjee India
Pooja Nag India
Hedieh Haji-Hashemi Iran
Azam Bagheri Pebdeni Iran
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Citations per field
00.5×7.3×
Ignatius Julian Dinshaw · 1×
Citations per year

Countries citing papers authored by David Panáček

Since Specialization
Citations

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

Fields of papers citing papers by David Panáček

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020138
2 202158
3 202149
4 202332
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6 202426
7 202223
8 202315
9 202313
10 202313
11 202213
12 20229
13 20238
14 20255
15 20235
16 20214
17 20253
18 20253
19 20253
20 20252

About David Panáček

David Panáček is a scholar working on Biomedical Engineering, Materials Chemistry, Molecular Biology, Electrical and Electronic Engineering and Infectious Diseases, having authored 29 papers that have together received 464 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (9 papers), Graphene and Nanomaterials Applications (8 papers), Carbon and Quantum Dots Applications (6 papers), Electrochemical sensors and biosensors (6 papers), Biosensors and Analytical Detection (3 papers), Nanoparticles: synthesis and applications (2 papers), Nanocluster Synthesis and Applications (2 papers) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Biomedical Engineering (217 citations), Electrochemistry (28 citations), Bioengineering (21 citations), Materials Chemistry (160 citations) and Infectious Diseases (56 citations). David Panáček has collaborated with scholars based in Czechia, Spain and Germany. Frequent co-authors include Michal Otyepka, Radek Zbořil, Milan Kolář, Aristides Bakandritsos, Martin Pykal, Kolleboyina Jayaramulu, Ivo Frébort, Eleni C. Vermisoglou, Marián Hajdúch and Arben Merkoçi. Their work appears in journals such as Small, Biosensors and Bioelectronics, Nature Communications, Advanced Science and Microchimica Acta.

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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