Peter Kramar

1.2k total citations
25 papers, 829 citations indexed

About

Peter Kramar is a scholar working on Biotechnology, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Peter Kramar has authored 25 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biotechnology, 16 papers in Biomedical Engineering and 11 papers in Molecular Biology. Recurrent topics in Peter Kramar's work include Microbial Inactivation Methods (17 papers), Microfluidic and Bio-sensing Technologies (14 papers) and Lipid Membrane Structure and Behavior (10 papers). Peter Kramar is often cited by papers focused on Microbial Inactivation Methods (17 papers), Microfluidic and Bio-sensing Technologies (14 papers) and Lipid Membrane Structure and Behavior (10 papers). Peter Kramar collaborates with scholars based in Slovenia, France and Austria. Peter Kramar's co-authors include Damijan Miklavčič, Mounir Tarek, Tadej Kotnik, Gorazd Pucihar, Alenka Maček Lebar, Aljaž Velikonja, Aleš Iglič, François Dehez, Alenka Maček-Lebar and Šárka Perutková and has published in prestigious journals such as The Journal of Physical Chemistry B, Langmuir and The Journal of Physical Chemistry C.

In The Last Decade

Peter Kramar

25 papers receiving 815 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Kramar Slovenia 14 477 403 266 125 118 25 829
B. Gabriel France 18 890 1.9× 695 1.7× 378 1.4× 90 0.7× 218 1.8× 32 1.2k
V.B. Arakelyan Armenia 13 579 1.2× 598 1.5× 383 1.4× 203 1.6× 167 1.4× 34 972
Kai F. Hoettges United Kingdom 21 166 0.3× 882 2.2× 197 0.7× 342 2.7× 67 0.6× 48 1.1k
Daniel Fologea United States 16 30 0.1× 1.3k 3.1× 518 1.9× 474 3.8× 47 0.4× 45 1.6k
Toon H. Evers Netherlands 11 27 0.1× 326 0.8× 648 2.4× 129 1.0× 9 0.1× 15 1.0k
Mirko M. Maksimainen Finland 12 154 0.3× 71 0.2× 318 1.2× 55 0.4× 45 0.4× 29 600
Innocent B. Bekard Australia 8 56 0.1× 121 0.3× 255 1.0× 27 0.2× 16 0.1× 12 501
K. Harata Japan 12 72 0.2× 35 0.1× 217 0.8× 16 0.1× 40 0.3× 31 459
Eugen Gheorghiu Romania 19 53 0.1× 560 1.4× 295 1.1× 250 2.0× 22 0.2× 60 853
Milan Bier United States 16 23 0.0× 556 1.4× 292 1.1× 128 1.0× 18 0.2× 28 869

Countries citing papers authored by Peter Kramar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Peter Kramar

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Kramar. A scholar is included among the top collaborators of Peter Kramar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Kramar. Peter Kramar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Weiss, Victor U., et al.. (2023). The role of lipid oxidation on electrical properties of planar lipid bilayers and its importance for understanding electroporation. Bioelectrochemistry. 153. 108498–108498. 4 indexed citations
3.
Weiss, Victor U., et al.. (2021). Calcium ion effect on phospholipid bilayers as cell membrane analogues. Bioelectrochemistry. 143. 107988–107988. 25 indexed citations
4.
Kramar, Peter & Damijan Miklavčič. (2021). Effect of the cholesterol on electroporation of planar lipid bilayer. Bioelectrochemistry. 144. 108004–108004. 10 indexed citations
5.
Miklavčič, Damijan, et al.. (2021). The Good and the Bad of Cell Membrane Electroporation. Acta chimica slovenica. 68(4). 753–764. 23 indexed citations
6.
Lebar, Alenka Maček, Damijan Miklavčič, Małgorzata Kotulska, & Peter Kramar. (2021). Water Pores in Planar Lipid Bilayers at Fast and Slow Rise of Transmembrane Voltage. Membranes. 11(4). 263–263. 8 indexed citations
7.
8.
Velikonja, Aljaž, Peter Kramar, Damijan Miklavčič, & Alenka Maček Lebar. (2016). Specific electrical capacitance and voltage breakdown as a function of temperature for different planar lipid bilayers. Bioelectrochemistry. 112. 132–137. 16 indexed citations
9.
Lebar, Alenka Maček, Aljaž Velikonja, Peter Kramar, & Aleš Iglič. (2016). Internal configuration and electric potential in planar negatively charged lipid head group region in contact with ionic solution. Bioelectrochemistry. 111. 49–56. 11 indexed citations
10.
Jarm, Tomaž & Peter Kramar. (2015). 1st World Congress on Electroporation and Pulsed Electric Fields in Biology, Medicine and Food & Environmental Technologies. CERN Document Server (European Organization for Nuclear Research). 10 indexed citations
11.
Tarek, Mounir, Matija Tomšič, Janez Valant, et al.. (2014). Electroporation of archaeal lipid membranes using MD simulations. Bioelectrochemistry. 100. 18–26. 47 indexed citations
12.
Velikonja, Aljaž, et al.. (2014). Electroporation Threshold of POPC Lipid Bilayers with Incorporated Polyoxyethylene Glycol (C12E8). The Journal of Physical Chemistry B. 119(1). 192–200. 15 indexed citations
13.
Bonhenry, Daniel, et al.. (2013). On the Electroporation Thresholds of Lipid Bilayers: Molecular Dynamics Simulation Investigations. The Journal of Membrane Biology. 246(11). 843–850. 48 indexed citations
14.
Velikonja, Aljaž, Šárka Perutková, Ekaterina Gongadze, et al.. (2013). Monovalent Ions and Water Dipoles in Contact with Dipolar Zwitterionic Lipid Headgroups-Theory and MD Simulations. International Journal of Molecular Sciences. 14(2). 2846–2861. 20 indexed citations
15.
Kramar, Peter, Lucie Delemotte, Alenka Maček Lebar, et al.. (2012). Molecular-Level Characterization of Lipid Membrane Electroporation using Linearly Rising Current. The Journal of Membrane Biology. 245(10). 651–659. 32 indexed citations
16.
Kramar, Peter, et al.. (2012). System for Measuring Planar Lipid Bilayer Properties. The Journal of Membrane Biology. 245(10). 625–632. 3 indexed citations
17.
Kramar, Peter, Damijan Miklavčič, & Alenka Maček Lebar. (2009). A System for the Determination of Planar Lipid Bilayer Breakdown Voltage and Its Applications. IEEE Transactions on NanoBioscience. 8(2). 132–138. 22 indexed citations
18.
Kramar, Peter, Damijan Miklavčič, & Alenka Maček Lebar. (2006). Determination of the lipid bilayer breakdown voltage by means of linear rising signal. Bioelectrochemistry. 70(1). 23–27. 38 indexed citations
19.
Pavlović, Ivan, Peter Kramar, Selma Čorović, D. Cukjati, & Damijan Miklavčič. (2004). A web-application that extends functionality of medical device for tumor treatment by means of electrochemotherapy. Radiology and Oncology. 38(1). 3 indexed citations
20.
Pavlović, Ivan, Peter Kramar, Selma Čorović, D. Cukjati, & Damijan Miklavčič. (2004). The Web-based medical record system to support clinical trials. 1. 407–410. 1 indexed citations

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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