Pasi Soininen
- Physiology top 1%
- Diet and metabolism studies 17
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- Diabetes, Cardiovascular Risks, and Lipoproteins 23
- Diet, Metabolism, and Disease 11
- Molecular Biology top 2%
- Metabolomics and Mass Spectrometry Studies 49
- Biological Psychiatry top 5%
- Epidemiology top 2%
- Liver Disease Diagnosis and Treatment 27
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- Genetic Associations and Epidemiology 14
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- Nutritional Studies and Diet 11
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- Fatty Acid Research and Health 10
- Co-authors
- Mika Ala‐KorpelaAntti J. KangasPeter WürtzTerho LehtimäkiMika KähönenOlli T. RaitakariJorma ViikariReino Laatikainen
- Partner nations
- FinlandUnited KingdomUnited States
In The Last Decade
Pasi Soininen
124 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Physiology 2.1k
- Endocrinology, Diabetes and Metabolism 1.3k
- Molecular Biology 3.8k
- Biological Psychiatry 120
- Epidemiology 1.6k
Countries citing papers authored by Pasi Soininen
This map shows the geographic impact of Pasi Soininen'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 Pasi Soininen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pasi Soininen more than expected).
Fields of papers citing papers by Pasi Soininen
This network shows the impact of papers produced by Pasi Soininen. 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 Pasi Soininen. The network helps show where Pasi Soininen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pasi Soininen, 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 | Atlas of plasma NMR biomarkers for health and disease in 118,461 individuals from the UK Biobankbreakdown → | 2023 | 216 |
| 2 | 2019 | 20 | |
| 3 | 2018 | 101 | |
| 4 | Nuclear magnetic resonance‐based metabolomics identifies phenylalanine as a novel predictor of incident heart failure hospitalisation:results from PROSPER and FINRISK 1997 | 2018 | 51 |
| 5 | 2017 | 31 | |
| 6 | Impaired HDL2-mediated cholesterol efflux is associated with metabolic syndrome in families with early onset coronary heart disease and low HDL-cholesterol level | 2017 | 0 |
| 7 | 2017 | 4 | |
| 8 | 2016 | 78 | |
| 9 | 2016 | 9 | |
| 10 | 2016 | 6 | |
| 11 | 2014 | 9 | |
| 12 | 2013 | 42 | |
| 13 | 2012 | 168 | |
| 14 | 2012 | 235 | |
| 15 | 2012 | 203 | |
| 16 | 2012 | 113 | |
| 17 | 2010 | 25 | |
| 18 | 2009 | 22 | |
| 19 | 2007 | 15 | |
| 20 | 2006 | 46 |
About Pasi Soininen
Pasi Soininen is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Biochemistry, having authored 126 papers that have together received 7.5k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (49 papers), Liver Disease Diagnosis and Treatment (27 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers), Diet and metabolism studies (17 papers), Genetic Associations and Epidemiology (14 papers), Diet, Metabolism, and Disease (11 papers), Nutritional Studies and Diet (11 papers) and Fatty Acid Research and Health (10 papers). The work is most often cited by research in Physiology (2.1k citations), Endocrinology, Diabetes and Metabolism (1.3k citations) and Molecular Biology (3.8k citations). Pasi Soininen has collaborated with scholars based in Finland, United Kingdom and United States. Frequent co-authors include Mika Ala‐Korpela, Antti J. Kangas, Peter Würtz, Terho Lehtimäki, Mika Kähönen, Olli T. Raitakari, Jorma Viikari, Reino Laatikainen, Teemu Suna and Markku Laakso. Their work appears in journals such as Nature Communications, Bioinformatics and PLoS ONE.
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.