Lenka Lorencová
Impact in
- Materials Chemistry top 5%
- MXene and MAX Phase Materials
- 2D Materials and Applications
- Electrochemistry top 5%
Papers in
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- Advanced biosensing and bioanalysis techniques 17
- Glycosylation and Glycoproteins Research 9
- Advanced Biosensing Techniques and Applications 5
- Extracellular vesicles in disease 5
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- MXene and MAX Phase Materials 13
- 2D Materials and Applications 6
- Co-authors
- Jan Tkáč (40 shared papers)Peter Kasák (33 shared papers)Tomáš Bertók (27 shared papers)Alica Vikartovská (16 shared papers)Monika Jerigová (8 shared papers)Dušan Velič (6 shared papers)Jaroslav Filip (3 shared papers)Khaled A. Mahmoud (3 shared papers)
In The Last Decade
Lenka Lorencová
41 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 100
- Materials Chemistry 844
- Electrochemistry 107
- Molecular Biology 846
- Biomedical Engineering 440
- Bioengineering 54
Countries citing papers authored by Lenka Lorencová
This map shows the geographic impact of Lenka Lorencová'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 Lenka Lorencová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lenka Lorencová more than expected).
Fields of papers citing papers by Lenka Lorencová
This network shows the impact of papers produced by Lenka Lorencová. 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 Lenka Lorencová. The network helps show where Lenka Lorencová may publish in the future.
Co-authors
The 25 scholars most cited alongside Lenka Lorencová, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 267 | |
| 2 | 2018 | 238 | |
| 3 | 2018 | 149 | |
| 4 | 2017 | 102 | |
| 5 | 2020 | 96 | |
| 6 | 2019 | 62 | |
| 7 | 2020 | 56 | |
| 8 | 2019 | 55 | |
| 9 | 2020 | 52 | |
| 10 | 2024 | 49 | |
| 11 | 2019 | 45 | |
| 12 | 2022 | 33 | |
| 13 | 2019 | 33 | |
| 14 | 2019 | 31 | |
| 15 | 2018 | 31 | |
| 16 | 2020 | 29 | |
| 17 | 2018 | 29 | |
| 18 | 2020 | 25 | |
| 19 | 2016 | 22 | |
| 20 | 2021 | 22 |
About Lenka Lorencová
Lenka Lorencová is a scholar working on Molecular Biology, Materials Chemistry, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (17 papers), MXene and MAX Phase Materials (13 papers), Glycosylation and Glycoproteins Research (9 papers), 2D Materials and Applications (6 papers), Advanced Memory and Neural Computing (5 papers), Advanced Biosensing Techniques and Applications (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Extracellular vesicles in disease (5 papers). The work is most often cited by research in Materials Chemistry (844 citations), Electrochemistry (107 citations), Molecular Biology (846 citations), Biomedical Engineering (440 citations) and Bioengineering (54 citations). Lenka Lorencová has collaborated with scholars based in Slovakia, Qatar and Czechia. Frequent co-authors include Jan Tkáč, Peter Kasák, Tomáš Bertók, Alica Vikartovská, Monika Jerigová, Dušan Velič, Jaroslav Filip, Khaled A. Mahmoud, Eduard Jáné and Veronika Gajdošová. Their work appears in journals such as Microchimica Acta, ChemElectroChem, Analytica Chimica Acta, Sensors 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.