Tuulia Sylvänne
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Extracellular vesicles in disease
- Lipid Membrane Structure and Behavior
- Sphingolipid Metabolism and Signaling
- Metabolomics and Mass Spectrometry Studies
- RNA Interference and Gene Delivery
Papers in
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- Lipid Membrane Structure and Behavior 6
- Metabolomics and Mass Spectrometry Studies 3
- Coenzyme Q10 studies and effects 2
- Extracellular vesicles in disease 1
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- Nanopore and Nanochannel Transport Studies 4
- Co-authors
- Kim Ekroos (11 shared papers)Dimple Kauhanen (7 shared papers)Tore Skotland (8 shared papers)Kirsten Sandvig (8 shared papers)Adam Orłowski (4 shared papers)Alicia Llorente (4 shared papers)Ilpo Vattulainen (4 shared papers)Tomasz Róg (4 shared papers)
In The Last Decade
Tuulia Sylvänne
11 papers receiving 1.2k citations
Tuulia Sylvänne's Hit Papers
Peers
Comparison fields: 5 of 102
- Cancer Research 341
- Molecular Biology 1.0k
- Biochemistry 80
- Spectroscopy 120
- Immunology 120
Countries citing papers authored by Tuulia Sylvänne
This map shows the geographic impact of Tuulia Sylvänne'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 Tuulia Sylvänne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuulia Sylvänne more than expected).
Fields of papers citing papers by Tuulia Sylvänne
This network shows the impact of papers produced by Tuulia Sylvänne. 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 Tuulia Sylvänne. The network helps show where Tuulia Sylvänne may publish in the future.
Co-authors
The 25 scholars most cited alongside Tuulia Sylvänne, 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 | Molecular lipidomics of exosomes released by PC-3 prostate cancer cells Hit paper breakdown → | 2013 | 622 |
| 2 | 2013 | 191 | |
| 3 | 2011 | 138 | |
| 4 | 2012 | 99 | |
| 5 | 2015 | 79 | |
| 6 | 2013 | 38 | |
| 7 | 2013 | 29 | |
| 8 | 2016 | 16 | |
| 9 | 2015 | 13 | |
| 10 | 2014 | 11 | |
| 11 | 2016 | 1 |
About Tuulia Sylvänne
Tuulia Sylvänne is a scholar working on Molecular Biology, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Cell Biology and Spectroscopy, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (6 papers), Nanopore and Nanochannel Transport Studies (4 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Coenzyme Q10 studies and effects (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Cancer Research (341 citations), Molecular Biology (1.0k citations), Biochemistry (80 citations), Spectroscopy (120 citations) and Immunology (120 citations). Tuulia Sylvänne has collaborated with scholars based in Norway, Finland and Denmark. Frequent co-authors include Kim Ekroos, Dimple Kauhanen, Tore Skotland, Kirsten Sandvig, Adam Orłowski, Alicia Llorente, Ilpo Vattulainen, Tomasz Róg, Kirill V. Tarasov and Hye Ryung Jung. Their work appears in journals such as Cellular and Molecular Life Sciences, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, The Journal of Clinical Endocrinology & Metabolism, PLoS ONE and Biochemical 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.