Marko Sysi‐Aho
Impact in
- Biological Psychiatry top 5%
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
Papers in
-
- Metabolomics and Mass Spectrometry Studies 11
- Sphingolipid Metabolism and Signaling 3
- Surgery 5
- Pancreatic function and diabetes 3
- Co-authors
- Matej Orešič (17 shared papers)Tuulikki Seppänen‐Laakso (9 shared papers)Mikko Katajamaa (2 shared papers)Laxman Yetukuri (4 shared papers)Reijo Laaksonen (5 shared papers)Kim Ekroos (6 shared papers)Hannele Yki‐Järvinen (2 shared papers)Dimple Kauhanen (4 shared papers)
- Journals
- PLoS ONE (4 papers)Atherosclerosis (2 papers)Bioinformatics (1 paper)Analytical and Bioanalytical Chemistry (1 paper)Neurocomputing (1 paper)
- Partner nations
- FinlandGermanyUnited States
In The Last Decade
Marko Sysi‐Aho
29 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 150
- Biological Psychiatry 88
- Biochemistry 199
- Spectroscopy 446
- Molecular Biology 1.7k
- Physiology 485
Countries citing papers authored by Marko Sysi‐Aho
This map shows the geographic impact of Marko Sysi‐Aho'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 Marko Sysi‐Aho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marko Sysi‐Aho more than expected).
Fields of papers citing papers by Marko Sysi‐Aho
This network shows the impact of papers produced by Marko Sysi‐Aho. 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 Marko Sysi‐Aho. The network helps show where Marko Sysi‐Aho may publish in the future.
Co-authors
The 25 scholars most cited alongside Marko Sysi‐Aho, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 357 | |
| 2 | 2007 | 292 | |
| 3 | 2016 | 278 | |
| 4 | 2011 | 225 | |
| 5 | 2006 | 198 | |
| 6 | 2015 | 144 | |
| 7 | 2015 | 140 | |
| 8 | 2011 | 139 | |
| 9 | 2014 | 101 | |
| 10 | 2016 | 85 | |
| 11 | 2009 | 80 | |
| 12 | 2011 | 77 | |
| 13 | 2013 | 72 | |
| 14 | 2015 | 72 | |
| 15 | 2016 | 68 | |
| 16 | 2008 | 56 | |
| 17 | 2008 | 50 | |
| 18 | 2009 | 44 | |
| 19 | 2013 | 40 | |
| 20 | 2011 | 26 |
About Marko Sysi‐Aho
Marko Sysi‐Aho is a scholar working on Molecular Biology, Surgery, Genetics, Economics and Econometrics and Sociology and Political Science, having authored 30 papers that have together received 2.6k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (11 papers), Complex Systems and Time Series Analysis (5 papers), Evolutionary Game Theory and Cooperation (4 papers), Diabetes Management and Research (3 papers), Diabetes and associated disorders (3 papers), Sphingolipid Metabolism and Signaling (3 papers), Pancreatic function and diabetes (3 papers) and Fatty Acid Research and Health (2 papers). The work is most often cited by research in Biological Psychiatry (88 citations), Biochemistry (199 citations), Spectroscopy (446 citations), Molecular Biology (1.7k citations) and Physiology (485 citations). Marko Sysi‐Aho has collaborated with scholars based in Finland, Germany and United States. Frequent co-authors include Matej Orešič, Tuulikki Seppänen‐Laakso, Mikko Katajamaa, Laxman Yetukuri, Reijo Laaksonen, Kim Ekroos, Hannele Yki‐Järvinen, Dimple Kauhanen, Aila Rissanen and Jaakko Kaprio. Their work appears in journals such as PLoS ONE, Atherosclerosis, Bioinformatics, Analytical and Bioanalytical Chemistry and Neurocomputing.
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.