Sami Valkonen
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 11
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- MicroRNA in disease regulation 4
- Co-authors
- Pia Siljander (9 shared papers)Marjo Yliperttula (8 shared papers)Saara Laitinen (8 shared papers)Maija Puhka (3 shared papers)Antti Rannikko (3 shared papers)Ossi Korhonen (4 shared papers)Olli Kallioniemi (2 shared papers)Taija M. af Hällström (2 shared papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (3 papers)European Journal of Pharmaceutical Sciences (2 papers)Stem Cells (1 paper)International Journal of Pharmaceutics (1 paper)Theranostics (1 paper)
- Partner nations
- FinlandUnited KingdomSweden
In The Last Decade
Sami Valkonen
15 papers receiving 704 citations
Peers
Comparison fields: 5 of 99
- Cancer Research 217
- Molecular Biology 496
- Physiology 27
- Genetics 61
- Biomaterials 53
Countries citing papers authored by Sami Valkonen
This map shows the geographic impact of Sami Valkonen'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 Sami Valkonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sami Valkonen more than expected).
Fields of papers citing papers by Sami Valkonen
This network shows the impact of papers produced by Sami Valkonen. 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 Sami Valkonen. The network helps show where Sami Valkonen may publish in the future.
Co-authors
The 25 scholars most cited alongside Sami Valkonen, 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 | 2017 | 177 | |
| 2 | 2021 | 136 | |
| 3 | 2016 | 83 | |
| 4 | 2016 | 58 | |
| 5 | 2016 | 55 | |
| 6 | 2021 | 38 | |
| 7 | 2019 | 30 | |
| 8 | 2017 | 29 | |
| 9 | 2019 | 26 | |
| 10 | 2016 | 25 | |
| 11 | 2019 | 19 | |
| 12 | 2021 | 15 | |
| 13 | 2022 | 12 | |
| 14 | 2022 | 7 | |
| 15 | 2024 | 1 | |
| 16 | Extracellular Vesicles and Nanoerythrosomes : The Hidden Pearls of Blood Products | 2019 | 0 |
About Sami Valkonen
Sami Valkonen is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Biomaterials, having authored 16 papers that have together received 711 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (11 papers), MicroRNA in disease regulation (4 papers), Mesenchymal stem cell research (2 papers), Platelet Disorders and Treatments (2 papers), Advanced Cellulose Research Studies (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), 3D Printing in Biomedical Research (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Cancer Research (217 citations), Molecular Biology (496 citations), Physiology (27 citations), Genetics (61 citations) and Biomaterials (53 citations). Sami Valkonen has collaborated with scholars based in Finland, United Kingdom and Sweden. Frequent co-authors include Pia Siljander, Marjo Yliperttula, Saara Laitinen, Maija Puhka, Antti Rannikko, Ossi Korhonen, Olli Kallioniemi, Taija M. af Hällström, Maarit Takatalo and Francisco M. Fernandes. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, European Journal of Pharmaceutical Sciences, Stem Cells, International Journal of Pharmaceutics and Theranostics.
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.