Markus Perola
- Genetics top 0.5%
- Genetic Associations and Epidemiology 68
- Genetic and phenotypic traits in livestock 16
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- Diabetes, Cardiovascular Risks, and Lipoproteins 17
- Sensory Systems top 1%
- Nutrition and Dietetics top 0.5%
- Biochemical Analysis and Sensing Techniques 18
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- Liver Disease Diagnosis and Treatment 34
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- Alcohol Consumption and Health Effects 25
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- Metabolomics and Mass Spectrometry Studies 17
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- Lipoproteins and Cardiovascular Health 14
- Co-authors
- Veikko SalomaaJaakko KaprioPekka J. KarhunenAntti PenttiläLeena PeltonenKarri SilventoinenHely TuorilaAarno Palotie
- Partner nations
- FinlandUnited StatesUnited Kingdom
In The Last Decade
Markus Perola
270 papers receiving 11.0k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Genetics 3.1k
- Endocrinology, Diabetes and Metabolism 1.5k
- Sensory Systems 363
- Cardiology and Cardiovascular Medicine 1.6k
- Nutrition and Dietetics 907
Countries citing papers authored by Markus Perola
This map shows the geographic impact of Markus Perola'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 Markus Perola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Perola more than expected).
Fields of papers citing papers by Markus Perola
This network shows the impact of papers produced by Markus Perola. 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 Markus Perola. The network helps show where Markus Perola may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Perola, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2022 | 36 | |
| 6 | 2022 | 30 | |
| 7 | 2021 | 4 | |
| 8 | Metabolic biomarker discovery for risk of peripheral artery disease compared with coronary artery disease:lipoprotein and metabolite profiling of 31 657 individuals from 5 prospective cohorts | 2021 | 43 |
| 9 | 2021 | 19 | |
| 10 | 2020 | 30 | |
| 11 | 2019 | 14 | |
| 12 | 2019 | 37 | |
| 13 | Metabolic risk factors for advanced liver disease among alcohol risk users in the general population | 2019 | 1 |
| 14 | 2018 | 30 | |
| 15 | 2018 | 2 | |
| 16 | 2016 | 109 | |
| 17 | 2010 | 5 | |
| 18 | 2005 | 21 | |
| 19 | 2005 | 16 | |
| 20 | 2005 | 26 |
About Markus Perola
Markus Perola is a scholar working on Genetics, Aging, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine, having authored 280 papers that have together received 11.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (68 papers), Liver Disease Diagnosis and Treatment (34 papers), Alcohol Consumption and Health Effects (25 papers), Biochemical Analysis and Sensing Techniques (18 papers), Metabolomics and Mass Spectrometry Studies (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers), Genetic and phenotypic traits in livestock (16 papers) and Lipoproteins and Cardiovascular Health (14 papers). The work is most often cited by research in Genetics (3.1k citations), Endocrinology, Diabetes and Metabolism (1.5k citations), Sensory Systems (363 citations), Cardiology and Cardiovascular Medicine (1.6k citations) and Nutrition and Dietetics (907 citations). Markus Perola has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Veikko Salomaa, Jaakko Kaprio, Pekka J. Karhunen, Antti Penttilä, Leena Peltonen, Karri Silventoinen, Hely Tuorila, Aarno Palotie, Samuli Ripatti and Erkki Vartiainen. Their work appears in journals such as Atherosclerosis, PLoS ONE, PLoS Genetics, The American Journal of Human Genetics and Scientific Reports.
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.