Maris Kuningas

2.3k total citations
25 papers, 946 citations indexed

About

Maris Kuningas is a scholar working on Immunology, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Maris Kuningas has authored 25 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Maris Kuningas's work include Hormonal Regulation and Hypertension (6 papers), Stress Responses and Cortisol (5 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Maris Kuningas is often cited by papers focused on Hormonal Regulation and Hypertension (6 papers), Stress Responses and Cortisol (5 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Maris Kuningas collaborates with scholars based in Netherlands, Estonia and United Kingdom. Maris Kuningas's co-authors include Rudi G. J. Westendorp, P. Eline Slagboom, Diana van Heemst, Simon P. Mooijaart, Jelle Jolles, David van Bodegom, Henning Tiemeier, R. H. De Rijk, Bas J. Zwaan and André G. Uitterlinden and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Human Molecular Genetics.

In The Last Decade

Maris Kuningas

25 papers receiving 927 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maris Kuningas Netherlands 18 229 221 180 174 165 25 946
Martin Depner Germany 19 291 1.3× 161 0.7× 38 0.2× 49 0.3× 629 3.8× 32 1.7k
Caroline Trumpff United States 16 346 1.5× 77 0.3× 27 0.1× 271 1.6× 157 1.0× 35 1.2k
Carolina Gemma Argentina 20 733 3.2× 28 0.1× 80 0.4× 207 1.2× 477 2.9× 29 1.8k
A. Marcato Italy 12 107 0.5× 61 0.3× 40 0.2× 51 0.3× 102 0.6× 26 763
Rosana Maria dos Reis Brazil 29 407 1.8× 54 0.2× 42 0.2× 425 2.4× 303 1.8× 146 2.5k
Wen-Chi Hsueh United States 12 257 1.1× 23 0.1× 369 2.0× 53 0.3× 922 5.6× 12 1.3k
Jennifer Liang United States 16 435 1.9× 62 0.3× 19 0.1× 87 0.5× 93 0.6× 24 1.1k
Loa Nordkap Denmark 18 432 1.9× 38 0.2× 16 0.1× 160 0.9× 78 0.5× 26 1.4k
Nasim Ahmadiyeh United States 14 256 1.1× 185 0.8× 13 0.1× 33 0.2× 102 0.6× 25 895
Anna Aulinas Spain 17 88 0.4× 51 0.2× 40 0.2× 322 1.9× 119 0.7× 58 756

Countries citing papers authored by Maris Kuningas

Since Specialization
Citations

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

Fields of papers citing papers by Maris Kuningas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maris Kuningas

This figure shows the co-authorship network connecting the top 25 collaborators of Maris Kuningas. A scholar is included among the top collaborators of Maris Kuningas 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 Maris Kuningas. Maris Kuningas 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.
Altmäe, Signe, Maris Kuningas, Britt-Marie Landgren, et al.. (2014). Association between trefoil factor 3 gene variants and idiopathic recurrent spontaneous abortion. Reproductive BioMedicine Online. 29(6). 737–744. 3 indexed citations
2.
Koopman, Jacob J.E., David van Bodegom, Maris Kuningas, et al.. (2014). Variants of the IL‐10 gene associate with muscle strength in elderly from rural Africa: a candidate gene study. Aging Cell. 13(5). 862–868. 6 indexed citations
4.
Velders, Fleur P., Maris Kuningas, Meena Kumari, et al.. (2011). Genetics of cortisol secretion and depressive symptoms: A candidate gene and genome wide association approach. Psychoneuroendocrinology. 36(7). 1053–1061. 87 indexed citations
5.
Kuningas, Maris, Ruth McQuillan, James F. Wilson, et al.. (2011). Runs of Homozygosity Do Not Influence Survival to Old Age. PLoS ONE. 6(7). e22580–e22580. 8 indexed citations
6.
Kuningas, Maris, Karol Estrada, Yi‐Hsiang Hsu, et al.. (2011). Large common deletions associate with mortality at old age. Human Molecular Genetics. 20(21). 4290–4296. 29 indexed citations
7.
Kuningas, Maris, Signe Altmäe, André G. Uitterlinden, et al.. (2011). The relationship between fertility and lifespan in humans. AGE. 33(4). 615–622. 33 indexed citations
8.
May, Linda, David van Bodegom, Marijke Frölich, et al.. (2009). Polymorphisms in TLR4 and TLR2 genes, cytokine production and survival in rural Ghana. European Journal of Human Genetics. 18(4). 490–495. 13 indexed citations
9.
Kuningas, Maris, et al.. (2009). Common CFTR gene variants influence body composition and survival in rural Ghana. Human Genetics. 127(2). 201–206. 3 indexed citations
10.
May, Linda, David van Bodegom, Anton JM de Craen, et al.. (2009). Adverse environmental conditions influence age-related innate immune responsiveness. Immunity & Ageing. 6(1). 7–7. 21 indexed citations
11.
Bodegom, David van, et al.. (2009). Performance of the whole-blood stimulation assay for assessing innate immune activation under field conditions. Cytokine. 45(3). 184–189. 20 indexed citations
12.
Kuningas, Maris, Linda May, Riin Tamm, et al.. (2009). Selection for Genetic Variation Inducing Pro-Inflammatory Responses under Adverse Environmental Conditions in a Ghanaian Population. PLoS ONE. 4(11). e7795–e7795. 35 indexed citations
13.
Kuningas, Maris, Simon P. Mooijaart, Diana van Heemst, et al.. (2008). Genes encoding longevity: from model organisms to humans. Aging Cell. 7(2). 270–280. 87 indexed citations
14.
Kuningas, Maris, et al.. (2007). SIRT1 Gene, Age-Related Diseases, and Mortality: The Leiden 85-Plus Study. The Journals of Gerontology Series A. 62(9). 960–965. 73 indexed citations
15.
Kuningas, Maris, Reedik Mägi, Rudi G. J. Westendorp, et al.. (2007). Haplotypes in the human Foxo1a and Foxo3a genes; impact on disease and mortality at old age. European Journal of Human Genetics. 15(3). 294–301. 87 indexed citations
16.
Mooijaart, Simon P., Maris Kuningas, R. G. J. Westendorp, et al.. (2007). Liver X Receptor Alpha Associates With Human Life Span. The Journals of Gerontology Series A. 62(4). 343–349. 23 indexed citations
17.
Kuningas, Maris, R. H. De Rijk, Rudi G. J. Westendorp, et al.. (2006). Mental Performance in Old Age Dependent on Cortisol and Genetic Variance in the Mineralocorticoid and Glucocorticoid Receptors. Neuropsychopharmacology. 32(6). 1295–1301. 104 indexed citations
18.
Kuningas, Maris, Simon P. Mooijaart, P. Eline Slagboom, Rudi G. J. Westendorp, & Diana van Heemst. (2006). Genetic variants in the glucocorticoid receptor gene (NR3C1) and cardiovascular disease risk. The Leiden 85-plus Study. Biogerontology. 7(4). 231–238. 34 indexed citations
19.
Kuningas, Maris, P. Eline Slagboom, Rudi G. J. Westendorp, & Diana van Heemst. (2006). Impact of genetic variations in the WRN gene on age related pathologies and mortality. Mechanisms of Ageing and Development. 127(3). 307–313. 18 indexed citations
20.
Mooijaart, Simon P., Bernd W. Brandt, Jeroen Pijpe, et al.. (2005). C. elegans DAF-12, Nuclear Hormone Receptors and human longevity and disease at old age. Ageing Research Reviews. 4(3). 351–371. 27 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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