Jan Tkáč
Impact in
- Electrochemistry top 0.5%
- Electrochemical Analysis and Applications
- Bioengineering top 0.5%
- Analytical Chemistry and Sensors
Papers in
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- Advanced biosensing and bioanalysis techniques 52
- Glycosylation and Glycoproteins Research 41
- Microbial Metabolic Engineering and Bioproduction 10
-
- Electrochemical sensors and biosensors 41
- Co-authors
- Peter Kasák (70 shared papers)Tomáš Bertók (59 shared papers)Peter Gemeiner (33 shared papers)Lenka Lorencová (40 shared papers)Jaroslav Filip (28 shared papers)Ernest Šturdı́k (13 shared papers)Alica Vikartovská (32 shared papers)Tautgirdas Ruzgas (2 shared papers)
In The Last Decade
Jan Tkáč
162 papers receiving 5.9k citations
Jan Tkáč's Hit Papers
Peers
Comparison fields: 5 of 130
- Electrochemistry 1.0k
- Bioengineering 523
- Molecular Biology 3.3k
- Electrical and Electronic Engineering 2.4k
- Biomedical Engineering 1.6k
Countries citing papers authored by Jan Tkáč
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
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.
All Works
Showing the 20 most-cited of 166 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 → | 2004 | 525 |
| 2 | 2016 | 280 | |
| 3 | 2015 | 274 | |
| 4 | 2017 | 267 | |
| 5 | 2018 | 238 | |
| 6 | 2018 | 149 | |
| 7 | 2014 | 131 | |
| 8 | 2008 | 107 | |
| 9 | 2006 | 105 | |
| 10 | 2017 | 102 | |
| 11 | 2020 | 96 | |
| 12 | 2008 | 92 | |
| 13 | 2010 | 85 | |
| 14 | 2011 | 84 | |
| 15 | 2010 | 82 | |
| 16 | 2002 | 80 | |
| 17 | 2013 | 79 | |
| 18 | 2014 | 78 | |
| 19 | 2009 | 78 | |
| 20 | 2013 | 78 |
About Jan Tkáč
Jan Tkáč is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Materials Chemistry, having authored 166 papers that have together received 6.0k 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 (523 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, Lenka Lorencová, Jaroslav Filip, 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, Langmuir and Biosensors and Bioelectronics.
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.