Ida Surakka

33.7k total citations
50 papers, 1.4k citations indexed

About

Ida Surakka is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Ida Surakka has authored 50 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 15 papers in Cardiology and Cardiovascular Medicine and 11 papers in Surgery. Recurrent topics in Ida Surakka's work include Genetic Associations and Epidemiology (24 papers), Lipoproteins and Cardiovascular Health (8 papers) and Lipid metabolism and disorders (5 papers). Ida Surakka is often cited by papers focused on Genetic Associations and Epidemiology (24 papers), Lipoproteins and Cardiovascular Health (8 papers) and Lipid metabolism and disorders (5 papers). Ida Surakka collaborates with scholars based in United States, Finland and United Kingdom. Ida Surakka's co-authors include Samuli Ripatti, Veikko Salomaa, Iiris Hovatta, Leena Peltonen, Jouko Lönnqvist, Sami Pirkola, Laura Kananen, Jaana Suvisaari, Aarno Palotie and Markus Perola and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Ida Surakka

47 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ida Surakka United States 22 369 348 337 263 211 50 1.4k
Jemma B. Wilk United States 25 509 1.4× 744 2.1× 660 2.0× 229 0.9× 143 0.7× 54 2.6k
Hanieh Yaghootkar United Kingdom 20 593 1.6× 493 1.4× 286 0.8× 289 1.1× 175 0.8× 54 1.8k
Rona J. Strawbridge Sweden 24 354 1.0× 495 1.4× 313 0.9× 200 0.8× 240 1.1× 83 2.0k
Jan Hansen Denmark 16 587 1.6× 537 1.5× 1.1k 3.1× 300 1.1× 228 1.1× 26 2.2k
Alberto Montesanto Italy 28 193 0.5× 689 2.0× 579 1.7× 107 0.4× 95 0.5× 84 1.8k
Carolina Gemma Argentina 20 226 0.6× 733 2.1× 477 1.4× 334 1.3× 84 0.4× 29 1.8k
Ryan L. Minster United States 19 272 0.7× 530 1.5× 483 1.4× 992 3.8× 104 0.5× 49 2.2k
María Morán Spain 24 392 1.1× 777 2.2× 485 1.4× 125 0.5× 293 1.4× 70 1.9k
Rosa Maria Corbo Italy 27 524 1.4× 519 1.5× 718 2.1× 126 0.5× 128 0.6× 84 2.2k
Xiao‐Li Tian China 24 119 0.3× 892 2.6× 366 1.1× 152 0.6× 245 1.2× 71 2.0k

Countries citing papers authored by Ida Surakka

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ida Surakka

This figure shows the co-authorship network connecting the top 25 collaborators of Ida Surakka. A scholar is included among the top collaborators of Ida Surakka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ida Surakka. Ida Surakka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Douville, Nicholas J., Lisa Bastarache, Jing He, et al.. (2024). Polygenic Score for the Prediction of Postoperative Nausea and Vomiting: A Retrospective Derivation and Validation Cohort Study. Anesthesiology. 142(1). 52–71. 8 indexed citations
2.
3.
Surakka, Ida, Tao Wang, Jiao Xu, et al.. (2023). Genetic variants in HFE are associated with non-alcoholic fatty liver disease in lean individuals. JHEP Reports. 5(7). 100744–100744. 12 indexed citations
4.
Surakka, Ida, Brooke N. Wolford, Scott C. Ritchie, et al.. (2022). Sex-Specific Survival Bias and Interaction Modeling in Coronary Artery Disease Risk Prediction. Circulation Genomic and Precision Medicine. 16(1). e003542–e003542. 10 indexed citations
5.
Widén, Elisabeth, Nella Junna, Sanni Ruotsalainen, et al.. (2022). How Communicating Polygenic and Clinical Risk for Atherosclerotic Cardiovascular Disease Impacts Health Behavior: an Observational Follow-up Study. Circulation Genomic and Precision Medicine. 15(2). e003459–e003459. 69 indexed citations
6.
Ripatti, Pietari, Joel Rämö, Nina Mars, et al.. (2020). Polygenic Hyperlipidemias and Coronary Artery Disease Risk. UTUPub (University of Turku). 55 indexed citations
7.
Hassan, Shabbeer, Ida Surakka, Marja‐Riitta Taskinen, et al.. (2020). High-resolution population-specific recombination rates and their effect on phasing and genotype imputation. European Journal of Human Genetics. 29(4). 615–624. 15 indexed citations
8.
Surakka, Ida, Whitney Hornsby, Linda Farhat, et al.. (2020). A Novel Variant in APOB Gene Causes Extremely Low LDL-C Without Known Adverse Effects. SHILAP Revista de lepidopterología. 2(5). 775–779. 1 indexed citations
9.
Kerminen, Sini, Alicia R. Martin, Jukka Koskela, et al.. (2019). Geographic Variation and Bias in the Polygenic Scores of Complex Diseases and Traits in Finland. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 1 indexed citations
10.
Ripatti, Pietari, Joel Rämö, Sanni Söderlund, et al.. (2016). The Contribution of GWAS Loci in Familial Dyslipidemias. PLoS Genetics. 12(5). e1006078–e1006078. 30 indexed citations
11.
Cousminer, Diana L., Jaakko T. Leinonen, Antti‐Pekka Sarin, et al.. (2015). Targeted Resequencing of the Pericentromere of Chromosome 2 Linked to Constitutional Delay of Growth and Puberty. PLoS ONE. 10(6). e0128524–e0128524. 5 indexed citations
12.
Laurila, Pirkka‐Pekka, Sanni Söderlund, Ida Surakka, et al.. (2014). Extreme Ends Approach Identifies Novel eQTL Genes for Low HDL-C. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 1 indexed citations
13.
Marttinen, Pekka, Matti Pirinen, Antti‐Pekka Sarin, et al.. (2014). Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression. Bioinformatics. 30(14). 2026–2034. 21 indexed citations
14.
Aho, Vilma, Hanna M. Ollila, Ville Rantanen, et al.. (2013). Partial Sleep Restriction Activates Immune Response-Related Gene Expression Pathways: Experimental and Epidemiological Studies in Humans. PLoS ONE. 8(10). e77184–e77184. 69 indexed citations
15.
Leinonen, Jaakko T., Ida Surakka, Aki S. Havulinna, et al.. (2012). Association of LIN28B with Adult Adiposity-Related Traits in Females. PLoS ONE. 7(11). e48785–e48785. 18 indexed citations
16.
Surakka, Ida, Kati Kristiansson, Michael Inouye, et al.. (2010). Founder population-specific HapMap panel increases power in GWA studies through improved imputation accuracy and CNV tagging. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 14 indexed citations
17.
Peltonen, Leena, Jussi Naukkarinen, Ida Surakka, et al.. (2010). . DSpace@MIT (Massachusetts Institute of Technology). 57 indexed citations
18.
Kananen, Laura, Ida Surakka, Sami Pirkola, et al.. (2010). Childhood Adversities Are Associated with Shorter Telomere Length at Adult Age both in Individuals with an Anxiety Disorder and Controls. PLoS ONE. 5(5). e10826–e10826. 215 indexed citations
19.
Humphreys, Keith, Ida Surakka, Emil Rehnberg, et al.. (2010). NordicDB: a Nordic pool and portal for genome-wide control data. University of Southern Denmark Research Portal (University of Southern Denmark).
20.
Keskitalo, Kaisu, Ulla Broms, Markku Heliövaara, et al.. (2009). Association of serum cotinine level with a cluster of three nicotinic acetylcholine receptor genes (CHRNA3/CHRNA5/CHRNB4) on chromosome 15. Human Molecular Genetics. 18(20). 4007–4012. 77 indexed citations

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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