Špela Kos

783 citations
27 papers · 620 · h-index 15

Impact in

    • Microbial Inactivation Methods
    • Transgenic Plants and Applications
    • Immunotherapy and Immune Responses
    • Toxin Mechanisms and Immunotoxins

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 6
    • Microbial Inactivation Methods 13
    • Transgenic Plants and Applications 6

Špela Kos

27 papers receiving 610 citations

Peers

Špela Kos
Comparison fields: 5 of 77
  • Biotechnology 261
  • Immunology 143
  • Radiology, Nuclear Medicine and Imaging 99
  • Surfaces, Coatings and Films 24
  • Biomedical Engineering 137
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Naroa Serna Spain
Baowei Peng China
Na Kyeong Lee South Korea
Luc Wasungu France
Yale Yue China
Ravi B. Patel United States
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Citations per year

Countries citing papers authored by Špela Kos

Since Specialization
Citations

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

Fields of papers citing papers by Špela Kos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Špela Kos, 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 Špela Kos Line = papers co-authored together Špela Kos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015179
2 201763
3 201741
4 201635
5 202134
6 201626
7 201825
8 201923
9 202023
10 201522
11 201921
12 201418
13 201417
14 201716
15 201814
16 202112
17 202211
18 201611
19 20148
20 20226

About Špela Kos

Špela Kos is a scholar working on Molecular Biology, Biotechnology, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 27 papers that have together received 620 indexed citations. Recurring topics across this work include Microbial Inactivation Methods (13 papers), Transgenic Plants and Applications (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Plasma Applications and Diagnostics (4 papers), Microfluidic and Bio-sensing Technologies (3 papers), Plasma and Flow Control in Aerodynamics (3 papers), Wound Healing and Treatments (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Biotechnology (261 citations), Immunology (143 citations), Radiology, Nuclear Medicine and Imaging (99 citations), Surfaces, Coatings and Films (24 citations) and Biomedical Engineering (137 citations). Špela Kos has collaborated with scholars based in Slovenia, Belgium and United Kingdom. Frequent co-authors include Gregor Serša, Gaëlle Vandermeulen, Véronique Préat, Maja Čemažar, Alessandra Lopes, Laure Lambricht, Urška Kamenšek, Uroš Cvelbar, Tanja Blagus and Simona Kranjc. Their work appears in journals such as Pharmaceutics, PLoS ONE, Bioelectrochemistry, Applied Physics Letters and Applied Surface Science.

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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