Jan Tkáč

161 papers receiving 5.8k citations

Hit Papers

Direct electron transfer between copper-containing proteins and electrodes 2004 · 523 citations
5232004202620112018100200300400500

Peers

Jan Tkáč
Comparison fields: 5 of 130
  • Electrochemistry 1.0k
  • Bioengineering 522
  • Molecular Biology 3.3k
  • Electrical and Electronic Engineering 2.4k
  • Biomedical Engineering 1.6k
Replace Muhammad J. A. Shiddiky with:
Muhammad J. A. Shiddiky Australia
Quan Cheng United States
Xiangqun Zeng United States
Yuan‐Di Zhao China
Yufang Hu China
Jilin Tang China
Shusheng Zhang China
Qiang Gao China
Huixin He United States
Renjun Pei China
Jan Tkáč relative to Muhammad J. A. Shiddiky Australia Muhammad J. A. Shiddiky's profile →
Citations per field
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Muhammad J. A. Shiddiky · 1×
Citations per year

Countries citing papers authored by Jan Tkáč

Since Specialization
Citations

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

Fields of papers citing papers by Jan Tkáč

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Direct electron transfer between copper-containing proteins and electrodes
Hit paper breakdown →
2004523
2 2015274
3 2016271
4 2017255
5 2018236
6 2018146
7 2014131
8 2008107
9 2006104
10 2017100
11 200892
12 202084
13 201183
14 201083
15 201082
16 200280
17 201379
18 200977
19 201477
20 201376

About Jan Tkáč

Jan Tkáč is a scholar working on Bioengineering, Electrochemistry, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Surfaces, Coatings and Films, having authored 165 papers that have together received 5.9k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (52 papers), Glycosylation and Glycoproteins Research (41 papers), Electrochemical sensors and biosensors (41 papers), Monoclonal and Polyclonal Antibodies Research (33 papers), Analytical Chemistry and Sensors (15 papers), MXene and MAX Phase Materials (13 papers), Electrochemical Analysis and Applications (12 papers) and Microbial Metabolic Engineering and Bioproduction (10 papers). The work is most often cited by research in Electrochemistry (1.0k citations), Bioengineering (522 citations), Molecular Biology (3.3k citations), Electrical and Electronic Engineering (2.4k citations) and Biomedical Engineering (1.6k citations). Jan Tkáč has collaborated with scholars based in Slovakia, Qatar and Czechia. Frequent co-authors include Peter Kasák, Tomáš Bertók, Peter Gemeiner, Jaroslav Filip, Lenka Lorencová, Ernest Šturdı́k, Alica Vikartovská, Tautgirdas Ruzgas, James W. Whittaker and Igor Voštiar. Their work appears in journals such as Analytica Chimica Acta, Bioelectrochemistry, Microchimica Acta, Biosensors and Bioelectronics and Langmuir.

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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