Peter Kramar
Impact in
- Biotechnology top 0.5%
- Microbial Inactivation Methods
- Transgenic Plants and Applications
- Physiology top 2%
- Magnetic and Electromagnetic Effects
Papers in
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- Microbial Inactivation Methods 19
- Transgenic Plants and Applications 5
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- Microfluidic and Bio-sensing Technologies 16
- Nanopore and Nanochannel Transport Studies 3
- Co-authors
- Damijan Miklavčič (22 shared papers)Mounir Tarek (7 shared papers)Tadej Kotnik (2 shared papers)Gorazd Pucihar (1 shared paper)Alenka Maček Lebar (9 shared papers)Aljaž Velikonja (5 shared papers)Aleš Iglič (3 shared papers)François Dehez (2 shared papers)
In The Last Decade
Peter Kramar
30 papers receiving 989 citations
Peter Kramar's Hit Papers
Peers
Comparison fields: 5 of 86
- Biotechnology 585
- Physiology 152
- Biomedical Engineering 464
- Physical and Theoretical Chemistry 58
- Molecular Biology 309
Countries citing papers authored by Peter Kramar
This map shows the geographic impact of Peter Kramar'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 Peter Kramar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Kramar more than expected).
Fields of papers citing papers by Peter Kramar
This network shows the impact of papers produced by Peter Kramar. 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 Peter Kramar. The network helps show where Peter Kramar may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Kramar, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cell membrane electroporation- Part 1: The phenomenon Hit paper breakdown → | 2012 | 399 |
| 2 | 2013 | 85 | |
| 3 | 2013 | 53 | |
| 4 | 2014 | 52 | |
| 5 | 2007 | 50 | |
| 6 | 2006 | 43 | |
| 7 | 2014 | 39 | |
| 8 | 2012 | 34 | |
| 9 | 2021 | 30 | |
| 10 | 2014 | 27 | |
| 11 | 2021 | 27 | |
| 12 | 2009 | 25 | |
| 13 | 2013 | 20 | |
| 14 | 2010 | 18 | |
| 15 | 2016 | 18 | |
| 16 | 2014 | 16 | |
| 17 | 2015 | 12 | |
| 18 | 2016 | 11 | |
| 19 | 2021 | 11 | |
| 20 | 2021 | 9 |
About Peter Kramar
Peter Kramar is a scholar working on Biotechnology, Biomedical Engineering, Molecular Biology, Physiology and Atomic and Molecular Physics, and Optics, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Microbial Inactivation Methods (19 papers), Microfluidic and Bio-sensing Technologies (16 papers), Lipid Membrane Structure and Behavior (11 papers), Transgenic Plants and Applications (5 papers), Magnetic and Electromagnetic Effects (5 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Electrohydrodynamics and Fluid Dynamics (3 papers) and Nanopore and Nanochannel Transport Studies (3 papers). The work is most often cited by research in Biotechnology (585 citations), Physiology (152 citations), Biomedical Engineering (464 citations), Physical and Theoretical Chemistry (58 citations) and Molecular Biology (309 citations). Peter Kramar has collaborated with scholars based in Slovenia, France and Poland. Frequent co-authors include Damijan Miklavčič, Mounir Tarek, Tadej Kotnik, Gorazd Pucihar, Alenka Maček Lebar, Aljaž Velikonja, Aleš Iglič, François Dehez, Alenka Maček-Lebar and Ekaterina Gongadze. Their work appears in journals such as Bioelectrochemistry, The Journal of Membrane Biology, IEEE Transactions on NanoBioscience, International Journal of Molecular Sciences and The Journal of Physical Chemistry B.
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.