Marko Sysi‐Aho

5.1k citations
30 papers · 2.4k · h-index 21

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 15
    • Sphingolipid Metabolism and Signaling 5
    • Lipid Membrane Structure and Behavior 3
    • Pancreatic function and diabetes 3

Marko Sysi‐Aho

29 papers receiving 2.4k citations

Peers

Marko Sysi‐Aho
Comparison fields: 5 of 151
  • Biological Psychiatry 103
  • Biochemistry 182
  • Spectroscopy 413
  • Molecular Biology 1.7k
  • Physiology 597
Replace Werner Römisch‐Margl with:
Werner Römisch‐Margl Germany
Laxman Yetukuri Finland
Youngja Park United States
Lee D. Roberts United Kingdom
Elisabeth Altmaier Germany
Matthew Mitchell United States
Daisuke Saigusa Japan
Peddinti Gopalacharyulu Finland
Miriam Hoene Germany
Kevin Huynh Australia
Marko Sysi‐Aho relative to Werner Römisch‐Margl Germany Werner Römisch‐Margl's profile →
Citations per field
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Werner Römisch‐Margl · 1×
Citations per year

Countries citing papers authored by Marko Sysi‐Aho

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Marko Sysi‐Aho Line = papers co-authored together Marko Sysi‐Aho links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007343
2 2016269
3 2007250
4 2011211
5 2006178
6 2015135
7 2015134
8 2011130
9 201496
10 201683
11 201172
12 201570
13 201368
14 201666
15 200961
16 200853
17 200846
18 200941
19 201339
20 201125

About Marko Sysi‐Aho

Marko Sysi‐Aho is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Genetics and Economics and Econometrics, having authored 30 papers that have together received 2.4k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (15 papers), Complex Systems and Time Series Analysis (5 papers), Sphingolipid Metabolism and Signaling (5 papers), Evolutionary Game Theory and Cooperation (4 papers), Pancreatic function and diabetes (3 papers), Diabetes Management and Research (3 papers), Lipid Membrane Structure and Behavior (3 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Biological Psychiatry (103 citations), Biochemistry (182 citations), Spectroscopy (413 citations), Molecular Biology (1.7k citations) and Physiology (597 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, Kim Ekroos, Reijo Laaksonen, Hannele Yki‐Järvinen, Dimple Kauhanen, Kirsi H. Pietiläinen and Aila Rissanen. Their work appears in journals such as PLoS ONE, Atherosclerosis, Analytical and Bioanalytical Chemistry, Scientific Reports and Biophysical 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.

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