Evgen Multia
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
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- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
- Circular RNAs in diseases
Papers in
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- Extracellular vesicles in disease 5
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- Nanopore and Nanochannel Transport Studies 3
- Microfluidic and Bio-sensing Technologies 2
- Characterization and Applications of Magnetic Nanoparticles 2
- Co-authors
- Marja‐Liisa Riekkola (12 shared papers)Thanaporn Liangsupree (8 shared papers)Marianna Kemell (3 shared papers)José Ruiz‐Jiménez (2 shared papers)Mari Palviainen (1 shared paper)Patrik Forssén (4 shared papers)Torgny Fornstedt (4 shared papers)Pia Siljander (1 shared paper)
In The Last Decade
Evgen Multia
14 papers receiving 686 citations
Evgen Multia's Hit Papers
Peers
Comparison fields: 5 of 88
- Cancer Research 254
- Molecular Biology 570
- Immunology and Allergy 25
- Biomedical Engineering 174
- Biophysics 19
Countries citing papers authored by Evgen Multia
This map shows the geographic impact of Evgen Multia'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 Evgen Multia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evgen Multia more than expected).
Fields of papers citing papers by Evgen Multia
This network shows the impact of papers produced by Evgen Multia. 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 Evgen Multia. The network helps show where Evgen Multia may publish in the future.
Co-authors
The 25 scholars most cited alongside Evgen Multia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Modern isolation and separation techniques for extracellular vesicles Hit paper breakdown → | 2020 | 400 |
| 2 | 2019 | 57 | |
| 3 | 2020 | 50 | |
| 4 | 2020 | 47 | |
| 5 | 2018 | 32 | |
| 6 | 2022 | 27 | |
| 7 | 2022 | 21 | |
| 8 | 2019 | 20 | |
| 9 | 2016 | 16 | |
| 10 | 2016 | 9 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2025 | 1 | |
| 14 | 2018 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Evgen Multia
Evgen Multia is a scholar working on Molecular Biology, Biomedical Engineering, Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Spectroscopy, having authored 16 papers that have together received 692 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (5 papers), Field-Flow Fractionation Techniques (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Nanopore and Nanochannel Transport Studies (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers) and Characterization and Applications of Magnetic Nanoparticles (2 papers). The work is most often cited by research in Cancer Research (254 citations), Molecular Biology (570 citations), Immunology and Allergy (25 citations), Biomedical Engineering (174 citations) and Biophysics (19 citations). Evgen Multia has collaborated with scholars based in Finland, Sweden and Slovenia. Frequent co-authors include Marja‐Liisa Riekkola, Thanaporn Liangsupree, Marianna Kemell, José Ruiz‐Jiménez, Mari Palviainen, Patrik Forssén, Torgny Fornstedt, Pia Siljander, Matti Jussila and Myriam Taverna. Their work appears in journals such as Analytical Biochemistry, Analytical Chemistry, Journal of Chromatography A, Analytica Chimica Acta and Chemical Engineering Journal.
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.