Terho Lehtimäki

184.9k total citations · 3 hit papers
863 papers, 28.0k citations indexed

About

Terho Lehtimäki is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Terho Lehtimäki has authored 863 papers receiving a total of 28.0k indexed citations (citations by other indexed papers that have themselves been cited), including 252 papers in Cardiology and Cardiovascular Medicine, 168 papers in Molecular Biology and 137 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Terho Lehtimäki's work include Diabetes, Cardiovascular Risks, and Lipoproteins (84 papers), Lipoproteins and Cardiovascular Health (74 papers) and Genetic Associations and Epidemiology (73 papers). Terho Lehtimäki is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (84 papers), Lipoproteins and Cardiovascular Health (74 papers) and Genetic Associations and Epidemiology (73 papers). Terho Lehtimäki collaborates with scholars based in Finland, United States and United Kingdom. Terho Lehtimäki's co-authors include Olli T. Raitakari, Mika Kähönen, Jorma Viikari, Markus Juonala, Nina Hutri‐Kähönen, Tapani Rönnemaa, Mikko Hurme, Pekka J. Karhunen, Reijo Laaksonen and Leena Taittonen and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

Terho Lehtimäki

839 papers receiving 27.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cohort Profile: The Cardiovascular Risk in Young Finns Study

2008 538 citations Olli T. Raitakari, Markus Juonala et al. profile →
Tracking of Serum Lipid Levels, Blood Pressure, and Body Mass Index from Childhood to Adulthood: The Cardiovascular Risk in Young Finns Study

2011 386 citations Costan G. Magnussen, Jorma Viikari et al. profile →
Childhood Cardiovascular Risk Factors and Adult Cardiovascular Events

2022 313 citations Markus Juonala, Terho Lehtimäki et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Terho Lehtimäki Finland	79	6.6k	6.3k	4.4k	4.0k	3.8k	863	28.0k
Aroon D. Hingorani United Kingdom	72	7.0k 1.1×	3.6k 0.6×	2.8k 0.6×	3.3k 0.8×	4.5k 1.2×	266	26.0k
Olle Melander Sweden	65	6.2k 0.9×	6.3k 1.0×	4.4k 1.0×	3.3k 0.8×	3.9k 1.0×	578	21.3k
John Danesh United Kingdom	59	5.5k 0.8×	3.9k 0.6×	3.5k 0.8×	4.0k 1.0×	5.8k 1.6×	129	29.9k
Philippe Amouyel France	72	6.7k 1.0×	5.2k 0.8×	5.3k 1.2×	4.1k 1.0×	3.1k 0.8×	512	25.1k
Rudi G. J. Westendorp Netherlands	92	3.4k 0.5×	4.0k 0.6×	6.2k 1.4×	3.8k 0.9×	3.4k 0.9×	577	30.7k
Albert Hofman Netherlands	91	3.7k 0.6×	4.6k 0.7×	4.0k 0.9×	6.9k 1.7×	2.9k 0.8×	360	31.4k
Donna K. Arnett United States	74	14.7k 2.2×	4.9k 0.8×	4.0k 0.9×	5.0k 1.2×	5.5k 1.4×	495	35.2k
Robert Luben United Kingdom	91	3.5k 0.5×	4.8k 0.8×	5.8k 1.3×	5.3k 1.3×	2.9k 0.8×	517	30.3k
Bruno H. Stricker Netherlands	90	9.1k 1.4×	3.7k 0.6×	3.7k 0.8×	3.2k 0.8×	3.7k 1.0×	571	30.4k
Mika Kähönen Finland	64	7.3k 1.1×	3.6k 0.6×	3.1k 0.7×	2.8k 0.7×	2.1k 0.5×	577	18.6k

Countries citing papers authored by Terho Lehtimäki

Since Specialization

Citations

This map shows the geographic impact of Terho Lehtimäki'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 Terho Lehtimäki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terho Lehtimäki more than expected).

Fields of papers citing papers by Terho Lehtimäki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Terho Lehtimäki. 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 Terho Lehtimäki. The network helps show where Terho Lehtimäki may publish in the future.

Co-authorship network of co-authors of Terho Lehtimäki

This figure shows the co-authorship network connecting the top 25 collaborators of Terho Lehtimäki. A scholar is included among the top collaborators of Terho Lehtimäki 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 Terho Lehtimäki. Terho Lehtimäki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mäkinen, Ville‐Petteri, Terho Lehtimäki, Tapani Rönnemaa, et al.. (2025). Metabolic transition from childhood to adulthood based on two decades of biochemical time series in three longitudinal cohorts.. PubMed. 54(2). 1 indexed citations

Viinikainen, Jutta, Petri Böckerman, Christian Hakulinen, et al.. (2025). Tobacco Smoking in Early Adulthood and Labor Market Performance: The Cardiovascular Risk in Young Finns Study. Nicotine & Tobacco Research. 27(7). 1289–1293.

Sakellarios, Antonis I., Rick Quax, Pashupati P. Mishra, et al.. (2024). Predicting early-stage coronary artery disease using machine learning and routine clinical biomarkers improved by augmented virtual data. European Heart Journal - Digital Health. 5(5). 542–550. 6 indexed citations

Rovio, Suvi, Markus Juonala, Nina Hutri‐Kähönen, et al.. (2023). Nonalcoholic Fatty Liver Disease Incidence and Remission and Their Predictors During 7 Years of Follow-up Among Finns. The Journal of Clinical Endocrinology & Metabolism. 109(1). e291–e305. 3 indexed citations

Saarinen, Aino, Jarmo Hietala, Leo‐Pekka Lyytikäinen, et al.. (2023). Polygenic risk for schizophrenia predicting social trajectories in a general population sample. Psychological Medicine. 54(8). 1589–1597. 3 indexed citations

Ollikainen, Miina, Juha Mykkänen, Olli T. Raitakari, et al.. (2022). Multi-Omics Integration in a Twin Cohort and Predictive Modeling of Blood Pressure Values. OMICS A Journal of Integrative Biology. 26(3). 130–141. 14 indexed citations

Mishra, Pashupati P., Ismo Hänninen, Emma Raitoharju, et al.. (2020). Epigenome-450K-wide methylation signatures of active cigarette smoking: The Young Finns Study. Bioscience Reports. 40(7). 10 indexed citations

Erhart, Gertraud, Claudia Lamina, Terho Lehtimäki, et al.. (2018). Genetic Factors Explain a Major Fraction of the 50% Lower Lipoprotein(a) Concentrations in Finns. Arteriosclerosis Thrombosis and Vascular Biology. 38(5). 1230–1241. 32 indexed citations

Wu, Feitong, Markus Juonala, Niina Pitkänen, et al.. (2017). Both youth and long-term vitamin D status is associated with risk of type 2 diabetes mellitus in adulthood: a cohort study. Annals of Medicine. 50(1). 74–82. 19 indexed citations

10.

Kampman, Olli, Ari Illi, Merja Viikki, et al.. (2015). SERT and NET polymorphisms, temperament and antidepressant response. Nordic Journal of Psychiatry. 69(7). 531–538. 15 indexed citations

11.

Heinonen, Ilkka, Katja Pahkala, Olli J. Heinonen, et al.. (2013). Sedentary behaviours and obesity in adults: the Cardiovascular Risk in Young Finns Study. BMJ Open. 3(6). e002901–e002901. 90 indexed citations

12.

Würtz, Peter, Mika Tiainen, Ville‐Petteri Mäkinen, et al.. (2012). Circulating Metabolite Predictors of Glycemia in Middle-Aged Men and Women. Diabetes Care. 35(8). 1749–1756. 168 indexed citations

13.

Würtz, Peter, Ville‐Petteri Mäkinen, Pasi Soininen, et al.. (2012). Metabolic Signatures of Insulin Resistance in 7,098 Young Adults. Diabetes. 61(6). 1372–1380. 235 indexed citations

14.

Magnussen, Costan G., Jorma Viikari, Mika Kähönen, et al.. (2012). Socioeconomic Status, Cardiovascular Risk Factors, and Subclinical Atherosclerosis in Young Adults The Cardiovascular Risk in Young Finns Study. UCL Discovery (University College London). 1 indexed citations

15.

Viikki, Merja, Kaija Huuhka, Esa Leìnonen, et al.. (2011). Interaction between two HTR2A polymorphisms and gender is associated with treatment response in MDD. Neuroscience Letters. 501(1). 20–24. 22 indexed citations

16.

Illi, Ari, Outi Poutanen, Eija Setälä-Soikkeli, et al.. (2010). Is 5-HTTLPR linked to the response of selective serotonin reuptake inhibitors in MDD?. European Archives of Psychiatry and Clinical Neuroscience. 261(2). 95–102. 27 indexed citations

17.

Viikki, Merja, Olli Kampman, Ari Illi, et al.. (2009). TPH1 218A/C polymorphism is associated with major depressive disorder and its treatment response. Neuroscience Letters. 468(1). 80–84. 31 indexed citations

18.

Sihto, Harri, Johan Lundin, Terho Lehtimäki, et al.. (2008). Molecular Subtypes of Breast Cancers Detected in Mammography Screening and Outside of Screening. Clinical Cancer Research. 14(13). 4103–4110. 90 indexed citations

19.

Huuhka, Martti, Sami Anttila, Esa Leìnonen, et al.. (2005). The Apolipoprotein E Polymorphism Is Not Associated With Response to Electroconvulsive Therapy in Major Depressive Disorder. Journal of Ect. 21(1). 7–11. 17 indexed citations

20.

Lehtimäki, Terho, et al.. (1994). Apolipoprotein E Phenotypes and Serum Lipids in Newborns and 3-Year-Old Children: The Cardiovascular Risk in Young Finns Study. PEDIATRICS. 94(4). 489–493. 37 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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