Timo Vuorela
Impact in
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- Lipid metabolism and biosynthesis
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Lipid Membrane Structure and Behavior 3
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- ECG Monitoring and Analysis 3
- Co-authors
- Jukka Vanhala (15 shared papers)Ilpo Vattulainen (5 shared papers)M. Hyvönen (3 shared papers)Siewert J. Marrink (3 shared papers)Mikko Karttunen (3 shared papers)Andrea Catte (2 shared papers)Perttu Niemelä (2 shared papers)Jari Hyttinen (4 shared papers)
- Journals
- PLoS Computational Biology (2 papers)Soft Matter (1 paper)Textile Research Journal (1 paper)Biophysical Journal (1 paper)The Journal of Physical Chemistry B (1 paper)
- Partner nations
- FinlandDenmarkNetherlands
In The Last Decade
Timo Vuorela
22 papers receiving 420 citations
Peers
Comparison fields: 5 of 100
- Biochemistry 35
- Endocrinology, Diabetes and Metabolism 52
- Molecular Biology 185
- Biomedical Engineering 110
- Computer Vision and Pattern Recognition 41
Countries citing papers authored by Timo Vuorela
This map shows the geographic impact of Timo Vuorela'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 Timo Vuorela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timo Vuorela more than expected).
Fields of papers citing papers by Timo Vuorela
This network shows the impact of papers produced by Timo Vuorela. 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 Timo Vuorela. The network helps show where Timo Vuorela may publish in the future.
Co-authors
The 25 scholars most cited alongside Timo Vuorela, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 89 | |
| 2 | 2007 | 78 | |
| 3 | 2012 | 49 | |
| 4 | 2011 | 42 | |
| 5 | 2010 | 41 | |
| 6 | 2014 | 36 | |
| 7 | 2002 | 20 | |
| 8 | 2012 | 18 | |
| 9 | 2013 | 11 | |
| 10 | 2017 | 11 | |
| 11 | 2002 | 10 | |
| 12 | 2004 | 9 | |
| 13 | 2007 | 6 | |
| 14 | 2008 | 6 | |
| 15 | 2012 | 5 | |
| 16 | 2013 | 4 | |
| 17 | 2011 | 3 | |
| 18 | 2015 | 3 | |
| 19 | 2013 | 2 | |
| 20 | 2014 | 2 |
About Timo Vuorela
Timo Vuorela is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Electrical and Electronic Engineering, Surgery and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 451 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (3 papers), Context-Aware Activity Recognition Systems (3 papers), Indoor and Outdoor Localization Technologies (3 papers), ECG Monitoring and Analysis (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Body Composition Measurement Techniques (2 papers), IoT-based Smart Home Systems (2 papers) and Textile materials and evaluations (2 papers). The work is most often cited by research in Biochemistry (35 citations), Endocrinology, Diabetes and Metabolism (52 citations), Molecular Biology (185 citations), Biomedical Engineering (110 citations) and Computer Vision and Pattern Recognition (41 citations). Timo Vuorela has collaborated with scholars based in Finland, Denmark and Netherlands. Frequent co-authors include Jukka Vanhala, Ilpo Vattulainen, M. Hyvönen, Siewert J. Marrink, Mikko Karttunen, Andrea Catte, Perttu Niemelä, Jari Hyttinen, Ville‐Pekka Seppä and Petri T. Kovanen. Their work appears in journals such as PLoS Computational Biology, Soft Matter, Textile Research Journal, Biophysical Journal and The Journal of Physical Chemistry B.
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.