Tanja Jesenko
Impact in
- Biotechnology top 2%
- Microbial Inactivation Methods
- Transgenic Plants and Applications
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- Cancer Genomics and Diagnostics
Papers in
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- Microbial Inactivation Methods 22
- Transgenic Plants and Applications 4
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- Viral Infectious Diseases and Gene Expression in Insects 5
- CRISPR and Genetic Engineering 5
- Co-authors
- Maja Čemažar (30 shared papers)Gregor Serša (21 shared papers)Boštjan Markelc (16 shared papers)Cvetka Grašič Kuhar (5 shared papers)Maša Bošnjak (10 shared papers)Urška Kamenšek (5 shared papers)Primož Strojan (4 shared papers)Loreé C. Heller (5 shared papers)
- Journals
- Cancers (4 papers)Pharmaceutics (3 papers)Bioelectrochemistry (3 papers)Biomedicine & Pharmacotherapy (3 papers)Technology in Cancer Research & Treatment (3 papers)
- Partner nations
- SloveniaUnited StatesItaly
In The Last Decade
Tanja Jesenko
32 papers receiving 398 citations
Peers
Comparison fields: 5 of 55
- Biotechnology 195
- Cancer Research 67
- Oncology 115
- Immunology 76
- Biomedical Engineering 79
Countries citing papers authored by Tanja Jesenko
This map shows the geographic impact of Tanja Jesenko'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 Tanja Jesenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanja Jesenko more than expected).
Fields of papers citing papers by Tanja Jesenko
This network shows the impact of papers produced by Tanja Jesenko. 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 Tanja Jesenko. The network helps show where Tanja Jesenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Tanja Jesenko, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 64 | |
| 2 | 2018 | 47 | |
| 3 | 2018 | 41 | |
| 4 | 2018 | 26 | |
| 5 | 2020 | 25 | |
| 6 | 2020 | 21 | |
| 7 | 2022 | 20 | |
| 8 | 2024 | 16 | |
| 9 | 2023 | 14 | |
| 10 | 2021 | 12 | |
| 11 | 2021 | 12 | |
| 12 | 2020 | 12 | |
| 13 | 2018 | 11 | |
| 14 | 2022 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2023 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2021 | 5 |
About Tanja Jesenko
Tanja Jesenko is a scholar working on Biotechnology, Molecular Biology, Oncology, Biomedical Engineering and Cancer Research, having authored 37 papers that have together received 404 indexed citations. Recurring topics across this work include Microbial Inactivation Methods (22 papers), Cancer Cells and Metastasis (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), CRISPR and Genetic Engineering (5 papers), Microfluidic and Bio-sensing Technologies (4 papers), Transgenic Plants and Applications (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Ultrasound and Hyperthermia Applications (2 papers). The work is most often cited by research in Biotechnology (195 citations), Cancer Research (67 citations), Oncology (115 citations), Immunology (76 citations) and Biomedical Engineering (79 citations). Tanja Jesenko has collaborated with scholars based in Slovenia, United States and Italy. Frequent co-authors include Maja Čemažar, Gregor Serša, Boštjan Markelc, Cvetka Grašič Kuhar, Maša Bošnjak, Urška Kamenšek, Primož Strojan, Loreé C. Heller, Julie Gehl and Stine K. Frandsen. Their work appears in journals such as Cancers, Pharmaceutics, Bioelectrochemistry, Biomedicine & Pharmacotherapy and Technology in Cancer Research & Treatment.
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.