Kimmo Kontula

2.1k total citations
40 papers, 1.5k citations indexed

About

Kimmo Kontula is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kimmo Kontula has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kimmo Kontula's work include Lipoproteins and Cardiovascular Health (6 papers), Ion channel regulation and function (6 papers) and Hormonal Regulation and Hypertension (6 papers). Kimmo Kontula is often cited by papers focused on Lipoproteins and Cardiovascular Health (6 papers), Ion channel regulation and function (6 papers) and Hormonal Regulation and Hypertension (6 papers). Kimmo Kontula collaborates with scholars based in Finland, United States and Switzerland. Kimmo Kontula's co-authors include Katariina Kainulainen, Olli A. Jänne, Heikki Swan, Laura Oksanen, Helena E. Miettinen, Matti Viitasalo, Kirsi Piippo, Jorma J. Palvimo, Lauri Toivonen and Veikko A Koivisto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Gastroenterology.

In The Last Decade

Kimmo Kontula

40 papers receiving 1.5k citations

Peers

Kimmo Kontula
Alexander Paliege Germany
May Bloch-Faure France
Richard Larivière Canada
Vito De Gennaro Colonna Italy
Fernando P. Dominici Argentina
Erkki Ilveskoski Finland
Willem A. Bax Netherlands
Hema Viswambharan United Kingdom
T Saruta Japan
Ivo Quack Germany
Alexander Paliege Germany
Kimmo Kontula
Citations per year, relative to Kimmo Kontula Kimmo Kontula (= 1×) peers Alexander Paliege

Countries citing papers authored by Kimmo Kontula

Since Specialization
Citations

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

Fields of papers citing papers by Kimmo Kontula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimmo Kontula

This figure shows the co-authorship network connecting the top 25 collaborators of Kimmo Kontula. A scholar is included among the top collaborators of Kimmo Kontula 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 Kimmo Kontula. Kimmo Kontula 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.
Donner, Kati, Timo P. Hiltunen, Olli A. Jänne, Timo Sane, & Kimmo Kontula. (2012). Generalized glucocorticoid resistance caused by a novel two-nucleotide deletion in the hormone-binding domain of the glucocorticoid receptor gene NR3C1. European Journal of Endocrinology. 168(1). K9–K18. 18 indexed citations
2.
Donner, Kati, et al.. (2010). Common genetic variation of β1- and β2-adrenergic receptor and response to four classes of antihypertensive treatment. Pharmacogenetics and Genomics. 20(5). 342–345. 30 indexed citations
3.
Donner, Kati, Timo P. Hiltunen, Tuula Hannila‐Handelberg, et al.. (2009). CYP2C9 genotype modifies activity of the renin–angiotensin–aldosterone system in hypertensive men. Journal of Hypertension. 27(10). 2001–2009. 16 indexed citations
4.
Suominen, Tiina, S. Auvinen, Pekka Hannonen, et al.. (2007). G.P.14.16 Myotonic dystrophy type 2 (DM2) may be misdiagnosed as fibromyalgia. Neuromuscular Disorders. 17(9-10). 858–859. 1 indexed citations
5.
Lehtonen, Jukka, Kirsi Paukku, Laurent Daviet, & Kimmo Kontula. (2006). Abstract 1037: Angiotensin II Type 1 Receptor 1166 Polymorphism A -> C Increases mRNA Stability and Steady-State Levels. Circulation. 114(2). 16–9. 1 indexed citations
6.
Hannila‐Handelberg, Tuula, Kimmo Kontula, Ilkka Tikkanen, et al.. (2005). Common variants of the beta and gamma subunits of the epithelial sodium channel and their relation to plasma renin and aldosterone levels in essential hypertension. BMC Medical Genetics. 6(1). 4–4. 53 indexed citations
7.
Schalin‐Jäntti, Camilla, et al.. (2005). Manifestation, Management and Molecular Analysis of Candidate Genes in Two Rare Cases of Thyrotoxic Hypokalemic Periodic Paralysis. Hormone Research in Paediatrics. 63(3). 139–144. 50 indexed citations
8.
Hiltunen, Timo P., Tuula Hannila‐Handelberg, Ilkka Kantola, et al.. (2002). Liddle's syndrome associated with a point mutation in the extracellular domain of the epithelial sodium channel γ subunit. Journal of Hypertension. 20(12). 2383–2390. 62 indexed citations
9.
Ylikoski, Raija, Auli Verkkoniemi, Kati Juva, et al.. (2001). Does Apolipoprotein E Influence Learning and Memory in the Nondemented Oldest Old?. International Psychogeriatrics. 13(4). 451–459. 24 indexed citations
10.
Välimäki, Stiina, Riitta Tähtelä, Katariina Kainulainen, et al.. (2001). Relation of collagen type I alpha 1 (COLIA 1) and vitamin D receptor genotypes to bone mass, turnover, and fractures in early postmenopausal women and to hip fractures in elderly people. European Journal of Internal Medicine. 12(1). 48–56. 27 indexed citations
11.
Myllykangas, Liisa, Tuomo Polvikoski, Raimo Sulkava, et al.. (2000). Cardiovascular risk factors and Alzheimer's disease: a genetic association study in a population aged 85 or over. Neuroscience Letters. 292(3). 195–198. 45 indexed citations
12.
Swan, Heikki, Kirsi Piippo, Matti Viitasalo, et al.. (1999). Arrhythmic disorder mapped to chromosome 1q42–q43 causes malignant polymorphic ventricular tachycardia in structurally normal hearts. Journal of the American College of Cardiology. 34(7). 2035–2042. 238 indexed citations
13.
Öhman, Miina K., Laura Oksanen, Katariina Kainulainen, et al.. (1999). Testing of human homologues of murine obesity genes as candidate regions in Finnish obese sib pairs. European Journal of Human Genetics. 7(2). 117–124. 13 indexed citations
14.
Heliö, Tiina, Martti Färkkilâ, Leena Halme, et al.. (1998). [Genetic background and DNA diagnostics of hemochromatosis].. PubMed. 114(14). 1404–9. 1 indexed citations
15.
Oksanen, Laura, Miina K. Öhman, Mark L. Heiman, et al.. (1997). Markers for the gene ob and serum leptin levels in human morbid obesity. Human Genetics. 99(5). 559–564. 34 indexed citations
16.
Vuorio, Alpo, Lars Paulín, Hannu Turtola, & Kimmo Kontula. (1997). Deletions of the low density lipoprotein receptor gene underlying familial hypercholesterolaemia: screening by polymerase chain reaction using pooled DNA and blood samples. Molecular and Cellular Probes. 11(1). 65–70. 4 indexed citations
17.
Koistinen, Heikki A., Veikko A Koivisto, Sture Andersson, et al.. (1997). Leptin Concentration in Cord Blood Correlates with Intrauterine Growth1. The Journal of Clinical Endocrinology & Metabolism. 82(10). 3328–3330. 135 indexed citations
18.
C.W., Ronald, Pentti A. Järvinen, Kimmo Kontula, et al.. (1993). GENETIC-POLYMORPHISM OF APOLIPOPROTEIN-B, APOLIPOPROTEIN-E, AND LIPOPROTEIN-LIPASE, AND SERUM-LIPOPROTEIN LEVELS IN SURVIVORS OF MYOCARDIAL-INFARCTION. Nutrition Metabolism and Cardiovascular Diseases. 3. 118–127. 5 indexed citations
19.
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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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