Maša Kandušer

2.2k citations
46 papers · 1.6k · h-index 25

Impact in

  • Biotechnology top 0.2%
    • Microbial Inactivation Methods
    • Transgenic Plants and Applications
  • Physiology top 1%
    • Magnetic and Electromagnetic Effects

Papers in

Maša Kandušer

44 papers receiving 1.6k citations

Peers

Maša Kandušer
Comparison fields: 5 of 113
  • Biotechnology 1.0k
  • Physiology 233
  • Biomedical Engineering 853
  • Biophysics 56
  • Molecular Biology 511
Replace Lea Rems with:
Lea Rems Slovenia
P. Fox United States
B. Gabriel France
Vitalij Novickij Lithuania
Arthur E. Sowers United States
Matej Reberšek Slovenia
Caleb C. Roth United States
Tina Batista Napotnik Slovenia
Gorazd Pucihar Slovenia
Saulius Šatkauskas Lithuania
Maša Kandušer relative to Lea Rems Slovenia Lea Rems's profile →
Citations per field
00.5×3.6×
Lea Rems · 1×
Citations per year

Countries citing papers authored by Maša Kandušer

Since Specialization
Citations

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

Fields of papers citing papers by Maša Kandušer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maša Kandušer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maša Kandušer Line = papers co-authored together Maša Kandušer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005215
2 2001125
3 2013111
4 2008104
5 200984
6 200870
7 200561
8 200750
9 202149
10 201348
11 201044
12 201543
13 201041
14 199239
15 200939
16 201238
17 200736
18 201435
19 201030
20 200130

About Maša Kandušer

Maša Kandušer is a scholar working on Biotechnology, Biomedical Engineering, Molecular Biology, Physiology and Immunology, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microbial Inactivation Methods (32 papers), Microfluidic and Bio-sensing Technologies (21 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Magnetic and Electromagnetic Effects (6 papers), Transgenic Plants and Applications (5 papers), Plant Physiology and Cultivation Studies (4 papers), Toxin Mechanisms and Immunotoxins (4 papers) and Lipid Membrane Structure and Behavior (4 papers). The work is most often cited by research in Biotechnology (1.0k citations), Physiology (233 citations), Biomedical Engineering (853 citations), Biophysics (56 citations) and Molecular Biology (511 citations). Maša Kandušer has collaborated with scholars based in Slovenia, France and United States. Frequent co-authors include Damijan Miklavčič, Mojca Pavlin, Gorazd Pucihar, Matej Reberšek, Marko Ušaj, Marjeta Šentjurc, Francis X. Hart, Tadej Kotnik, Karel Flisar and Marie‐Pierre Rols. Their work appears in journals such as Bioelectrochemistry, The Journal of Membrane Biology, Scientific Reports, Chemistry and Physics of Lipids and The Journal of Gene Medicine.

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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