Ida Surakka
- Aging top 2%
- Genetics top 5%
- Genetic Associations and Epidemiology 24
- Genetic and phenotypic traits in livestock 5
- Genetic Mapping and Diversity in Plants and Animals 3
- Physiology top 10%
- Endocrine and Autonomic Systems top 10%
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- Lipoproteins and Cardiovascular Health 8
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- Lipid metabolism and disorders 5
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- Diabetes, Cardiovascular Risks, and Lipoproteins 5
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- Acute Ischemic Stroke Management 5
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- Cancer, Lipids, and Metabolism 4
- Co-authors
- Samuli RipattiVeikko SalomaaIiris HovattaLeena PeltonenJaana SuvisaariSami PirkolaJouko LönnqvistLaura Kananen
- Cited by
- AgingGeneticsPhysiology
- Partner nations
- United StatesFinlandUnited Kingdom
In The Last Decade
Ida Surakka
47 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 122
- Aging 124
- Genetics 369
- Physiology 337
- Endocrine and Autonomic Systems 83
- Biological Psychiatry 27
Countries citing papers authored by Ida Surakka
This map shows the geographic impact of Ida Surakka'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 Ida Surakka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ida Surakka more than expected).
Fields of papers citing papers by Ida Surakka
This network shows the impact of papers produced by Ida Surakka. 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 Ida Surakka. The network helps show where Ida Surakka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ida Surakka, 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 | 2024 | 8 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 12 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 69 | |
| 6 | 2021 | 8 | |
| 7 | 2020 | 55 | |
| 8 | 2020 | 15 | |
| 9 | 2020 | 1 | |
| 10 | Geographic Variation and Bias in the Polygenic Scores of Complex Diseases and Traits in Finland | 2019 | 1 |
| 11 | 2016 | 30 | |
| 12 | 2015 | 5 | |
| 13 | Extreme Ends Approach Identifies Novel eQTL Genes for Low HDL-C | 2014 | 1 |
| 14 | 2013 | 69 | |
| 15 | 2011 | 28 | |
| 16 | Founder population-specific HapMap panel increases power in GWA studies through improved imputation accuracy and CNV tagging | 2010 | 14 |
| 17 | 2010 | 57 | |
| 18 | NordicDB: a Nordic pool and portal for genome-wide control data | 2010 | 0 |
| 19 | 2010 | 215 | |
| 20 | 2009 | 77 |
About Ida Surakka
Ida Surakka is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Aging, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (24 papers), Lipoproteins and Cardiovascular Health (8 papers), Lipid metabolism and disorders (5 papers), Genetic and phenotypic traits in livestock (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Acute Ischemic Stroke Management (5 papers), Cancer, Lipids, and Metabolism (4 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). The work is most often cited by research in Aging (124 citations), Genetics (369 citations) and Physiology (337 citations). Ida Surakka has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include Samuli Ripatti, Veikko Salomaa, Iiris Hovatta, Leena Peltonen, Jaana Suvisaari, Sami Pirkola, Jouko Lönnqvist, Laura Kananen, Aarno Palotie and Markus Perola.
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.