Audrius Grainys
Impact in
- Biotechnology top 1%
- Microbial Inactivation Methods
- Transgenic Plants and Applications
- Physiology top 2%
- Magnetic and Electromagnetic Effects
Papers in
-
- Microbial Inactivation Methods 28
- Physiology 19
- Magnetic and Electromagnetic Effects 19
- Co-authors
- Vitalij Novickij (30 shared papers)Jurij Novickij (30 shared papers)Jurgita Švedienė (8 shared papers)Algimantas Paškevičius (7 shared papers)Svetlana Markovskaja (8 shared papers)Damijan Miklavčič (2 shared papers)Paulius Ruzgys (1 shared paper)Saulius Šatkauskas (1 shared paper)
In The Last Decade
Audrius Grainys
36 papers receiving 453 citations
Peers
Comparison fields: 5 of 60
- Biotechnology 341
- Physiology 132
- Biophysics 56
- Biomedical Engineering 206
- Control and Systems Engineering 56
Countries citing papers authored by Audrius Grainys
This map shows the geographic impact of Audrius Grainys'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 Audrius Grainys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Audrius Grainys more than expected).
Fields of papers citing papers by Audrius Grainys
This network shows the impact of papers produced by Audrius Grainys. 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 Audrius Grainys. The network helps show where Audrius Grainys may publish in the future.
Co-authors
The 25 scholars most cited alongside Audrius Grainys, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 60 | |
| 2 | 2017 | 45 | |
| 3 | 2017 | 39 | |
| 4 | 2016 | 32 | |
| 5 | 2016 | 24 | |
| 6 | 2014 | 23 | |
| 7 | 2014 | 22 | |
| 8 | 2015 | 19 | |
| 9 | 2017 | 18 | |
| 10 | 2014 | 15 | |
| 11 | 2015 | 13 | |
| 12 | 2013 | 13 | |
| 13 | 2016 | 11 | |
| 14 | 2014 | 10 | |
| 15 | 2014 | 9 | |
| 16 | 2015 | 9 | |
| 17 | 2014 | 9 | |
| 18 | 2016 | 9 | |
| 19 | 2014 | 9 | |
| 20 | 2015 | 9 |
About Audrius Grainys
Audrius Grainys is a scholar working on Biotechnology, Physiology, Biomedical Engineering, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 36 papers that have together received 461 indexed citations. Recurring topics across this work include Microbial Inactivation Methods (28 papers), Magnetic and Electromagnetic Effects (19 papers), Microfluidic and Bio-sensing Technologies (15 papers), Pulsed Power Technology Applications (9 papers), Plasma Applications and Diagnostics (5 papers), Electromagnetic Fields and Biological Effects (4 papers), Gyrotron and Vacuum Electronics Research (2 papers) and Magnetic Field Sensors Techniques (2 papers). The work is most often cited by research in Biotechnology (341 citations), Physiology (132 citations), Biophysics (56 citations), Biomedical Engineering (206 citations) and Control and Systems Engineering (56 citations). Audrius Grainys has collaborated with scholars based in Lithuania, China and Slovenia. Frequent co-authors include Vitalij Novickij, Jurij Novickij, Jurgita Švedienė, Algimantas Paškevičius, Svetlana Markovskaja, Damijan Miklavčič, Paulius Ruzgys, Saulius Šatkauskas, Matej Kranjc and Janja Dermol‐Černe. Their work appears in journals such as IET Nanobiotechnology, IEEE Transactions on Magnetics, Scientific Reports, Eksploatacja i Niezawodnosc - Maintenance and Reliability and Bioelectrochemistry.
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.