Dejan Šemrov

988 total citations
10 papers, 762 citations indexed

About

Dejan Šemrov is a scholar working on Biotechnology, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Dejan Šemrov has authored 10 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biotechnology, 8 papers in Biomedical Engineering and 3 papers in Molecular Biology. Recurrent topics in Dejan Šemrov's work include Microfluidic and Bio-sensing Technologies (8 papers), Microbial Inactivation Methods (8 papers) and Magnetic and Electromagnetic Effects (2 papers). Dejan Šemrov is often cited by papers focused on Microfluidic and Bio-sensing Technologies (8 papers), Microbial Inactivation Methods (8 papers) and Magnetic and Electromagnetic Effects (2 papers). Dejan Šemrov collaborates with scholars based in Slovenia, France and United States. Dejan Šemrov's co-authors include Damijan Miklavčič, Lluis M. Mir, Gregor Serša, Maja Čemažar, Katarina Beravs, Franci Demšar, Robert C. Susil, R. Karba, L. Vodovnik and H. Benko and has published in prestigious journals such as Biophysical Journal, Biochimica et Biophysica Acta (BBA) - General Subjects and Computers in Biology and Medicine.

In The Last Decade

Dejan Šemrov

10 papers receiving 736 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dejan Šemrov Slovenia 10 660 570 143 124 108 10 762
Axel T. Esser United States 8 617 0.9× 480 0.8× 171 1.2× 58 0.5× 162 1.5× 10 746
Pamela Nuccitelli United States 8 372 0.6× 272 0.5× 200 1.4× 82 0.7× 51 0.5× 9 569
Tina Batista Napotnik Slovenia 10 815 1.2× 534 0.9× 262 1.8× 128 1.0× 159 1.5× 16 1.1k
Karel Flisar Slovenia 12 385 0.6× 288 0.5× 114 0.8× 44 0.4× 111 1.0× 16 506
Nataša Pavšelj Slovenia 13 452 0.7× 321 0.6× 127 0.9× 132 1.1× 48 0.4× 14 672
N. Pavšelj Slovenia 6 416 0.6× 327 0.6× 96 0.7× 77 0.6× 60 0.6× 7 499
Tamara Polajžer Slovenia 8 366 0.6× 224 0.4× 137 1.0× 79 0.6× 51 0.5× 16 563
Audrius Grainys Lithuania 12 341 0.5× 206 0.4× 70 0.5× 39 0.3× 132 1.2× 36 461
Matej Kranjc Slovenia 15 422 0.6× 318 0.6× 43 0.3× 41 0.3× 146 1.4× 30 640
Wentia Ford United States 6 447 0.7× 297 0.5× 139 1.0× 67 0.5× 90 0.8× 10 624

Countries citing papers authored by Dejan Šemrov

Since Specialization
Citations

This map shows the geographic impact of Dejan Šemrov'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 Dejan Šemrov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejan Šemrov more than expected).

Fields of papers citing papers by Dejan Šemrov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dejan Šemrov. 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 Dejan Šemrov. The network helps show where Dejan Šemrov may publish in the future.

Co-authorship network of co-authors of Dejan Šemrov

This figure shows the co-authorship network connecting the top 25 collaborators of Dejan Šemrov. A scholar is included among the top collaborators of Dejan Šemrov 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 Dejan Šemrov. Dejan Šemrov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Šemrov, Dejan & Damijan Miklavčič. (2003). Numerical Modeling for In Vivo Electroporation. Humana Press eBooks. 37. 63–81. 12 indexed citations
2.
Miklavčič, Damijan, et al.. (2002). In vivo electroporation threshold determination. 4. 2815–2818. 9 indexed citations
3.
Miklavčič, Damijan, et al.. (2000). A validated model of in vivo electric field distribution in tissues for electrochemotherapy and for DNA electrotransfer for gene therapy. Biochimica et Biophysica Acta (BBA) - General Subjects. 1523(1). 73–83. 277 indexed citations
4.
Šemrov, Dejan & Damijan Miklavčič. (1998). Calculation of the electrical parameters in electrochemotherapy of solid tumours in mice. Computers in Biology and Medicine. 28(4). 439–448. 40 indexed citations
5.
Miklavčič, Damijan, Katarina Beravs, Dejan Šemrov, et al.. (1998). The Importance of Electric Field Distribution for Effective in Vivo Electroporation of Tissues. Biophysical Journal. 74(5). 2152–2158. 202 indexed citations
6.
Susil, Robert C., Dejan Šemrov, & Damijan Miklavčič. (1998). Electric Field-Induced Transmembrane Potential Depends on Cell Density and Organizatio. Electro- and Magnetobiology. 17(3). 391–399. 82 indexed citations
8.
Miklavčič, Damijan, Dejan Šemrov, V. Valenčic, Gregor Serša, & L. Vodovnik. (1997). Tumor Treatment by Direct Electric Current: Computation of Electric Current and Power Density Distribution. Electro- and Magnetobiology. 16(2). 119–128. 10 indexed citations
9.
Šemrov, Dejan, R. Karba, & V. Valenčic. (1997). DC electrical stimulation for chronic wound healing enhancement. Part 2. Parameter determination by numerical modelling. Bioelectrochemistry and Bioenergetics. 43(2). 271–277. 14 indexed citations
10.
Serša, Gregor, Maja Čemažar, Dejan Šemrov, & Damijan Miklavčič. (1996). Changing electrode orientation improves the efficacy of electrochemotherapy of solid tumors in mice. Bioelectrochemistry and Bioenergetics. 39(1). 61–66. 77 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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