Merja Santaniemi

1.1k total citations
22 papers, 911 citations indexed

About

Merja Santaniemi is a scholar working on Epidemiology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Merja Santaniemi has authored 22 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 9 papers in Physiology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Merja Santaniemi's work include Adipokines, Inflammation, and Metabolic Diseases (13 papers), Adipose Tissue and Metabolism (6 papers) and Regulation of Appetite and Obesity (5 papers). Merja Santaniemi is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (13 papers), Adipose Tissue and Metabolism (6 papers) and Regulation of Appetite and Obesity (5 papers). Merja Santaniemi collaborates with scholars based in Finland and United States. Merja Santaniemi's co-authors include Olavi Ukkola, Y. Antero Kesäniemi, Risto Bloigu, Anne Kunnari, Juha S. Tapanainen, Y. Antero Kesäniemi, Laure Morin‐Papunen, Johanna Vartiainen, Aimo Ruokonen and Sirkka Keinänen‐Kiukaanniemi and has published in prestigious journals such as PLoS ONE, Gene and Metabolism.

In The Last Decade

Merja Santaniemi

21 papers receiving 865 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Merja Santaniemi Finland 15 502 314 209 197 182 22 911
Díez Jj Spain 7 553 1.1× 389 1.2× 208 1.0× 171 0.9× 179 1.0× 18 1.1k
N. Rassouli United States 6 550 1.1× 469 1.5× 145 0.7× 171 0.9× 217 1.2× 7 973
Shigeru Akagi Japan 12 399 0.8× 295 0.9× 94 0.4× 127 0.6× 160 0.9× 23 935
Masako Baba Japan 6 393 0.8× 293 0.9× 92 0.4× 130 0.7× 187 1.0× 9 816
C P Sewter United Kingdom 7 515 1.0× 648 2.1× 140 0.7× 140 0.7× 492 2.7× 8 1.1k
Jenny Palming Sweden 12 378 0.8× 445 1.4× 183 0.9× 146 0.7× 372 2.0× 15 1.0k
Teoman Doğru Türkiye 20 615 1.2× 160 0.5× 286 1.4× 243 1.2× 173 1.0× 47 1.1k
Joseph G. Yu United States 7 645 1.3× 707 2.3× 226 1.1× 154 0.8× 491 2.7× 8 1.3k
Samy Hadjadj France 16 208 0.4× 172 0.5× 224 1.1× 177 0.9× 196 1.1× 32 808
Laura Bertoccini Italy 18 345 0.7× 205 0.7× 291 1.4× 108 0.5× 198 1.1× 38 910

Countries citing papers authored by Merja Santaniemi

Since Specialization
Citations

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

Fields of papers citing papers by Merja Santaniemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Merja Santaniemi

This figure shows the co-authorship network connecting the top 25 collaborators of Merja Santaniemi. A scholar is included among the top collaborators of Merja Santaniemi 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 Merja Santaniemi. Merja Santaniemi 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.
Santaniemi, Merja, et al.. (2015). Dietary sodium intake and prediction of cardiovascular events. European Journal of Clinical Nutrition. 69(9). 1042–1047. 8 indexed citations
2.
3.
Santaniemi, Merja, et al.. (2014). Fatty liver predicts the risk for cardiovascular events in middle-aged population: a population-based cohort study. BMJ Open. 4(3). e004973–e004973. 73 indexed citations
4.
Ukkola, Olavi, Risto Bloigu, Petri Lehenkari, et al.. (2013). Long-term fructose feeding changes the expression of leptin receptors and autophagy genes in the adipose tissue and liver of male rats: a possible link to elevated triglycerides. Genes & Nutrition. 8(6). 623–635. 26 indexed citations
5.
6.
Santaniemi, Merja, et al.. (2013). Metabolic syndrome in the prediction of cardiovascular events: the potential additive role of hsCRP and adiponectin. European Journal of Preventive Cardiology. 21(10). 1242–1248. 27 indexed citations
7.
Santaniemi, Merja, Sakari Kakko, Panu Taskinen, et al.. (2012). Long Telomeres in Blood Leukocytes Are Associated with a High Risk of Ascending Aortic Aneurysm. PLoS ONE. 7(11). e50828–e50828. 5 indexed citations
8.
Santaniemi, Merja, et al.. (2012). Adiponectin concentration in plasma is associated with muscle fiber size in healthy middle-aged men. Scandinavian Journal of Clinical and Laboratory Investigation. 72(5). 395–402. 10 indexed citations
9.
Santaniemi, Merja, et al.. (2012). Plasma lipid levels and body weight altered by intrauterine growth restriction and postnatal fructose diet in adult rats. Pediatric Research. 73(2). 155–162. 18 indexed citations
10.
Ukkola, Olavi, et al.. (2011). Plasma adiponectin—an independent indicator of liver fat accumulation. Metabolism. 60(11). 1515–1520. 15 indexed citations
11.
Santaniemi, Merja. (2010). Genetic and epidemiological studies on the role of adiponectin and PTP1B in the metabolic syndrome. 5 indexed citations
12.
Santaniemi, Merja, et al.. (2008). The effect of energy restriction during pregnancy on obesity-related peptide hormones in rat offspring. Peptides. 30(4). 705–709. 10 indexed citations
13.
Kunnari, Anne, Merja Santaniemi, Anna Karjalainen, et al.. (2008). Estrogen replacement therapy decreases plasma adiponectin but not resistin in postmenopausal women. Metabolism. 57(11). 1509–1515. 27 indexed citations
14.
Santaniemi, Merja, Markku Timonen, Jari Jokelainen, et al.. (2008). Low serum adiponectin level as a predictor of impaired glucose regulation and type 2 diabetes mellitus in a middle-aged Finnish population. Metabolism. 57(8). 1130–1134. 36 indexed citations
15.
Santaniemi, Merja, Anne Kunnari, Johanna Vartiainen, et al.. (2007). Rosiglitazone treatment increases plasma levels of adiponectin and decreases levels of resistin in overweight women with PCOS: a randomized placebo-controlled study. European Journal of Endocrinology. 156(2). 263–269. 73 indexed citations
16.
Santaniemi, Merja, Y. Antero Kesäniemi, & Olavi Ukkola. (2006). Low plasma adiponectin concentration is an indicator of the metabolic syndrome. European Journal of Endocrinology. 155(5). 745–750. 96 indexed citations
17.
Ukkola, Olavi, Merja Santaniemi, Tuomo Rankinen, et al.. (2005). Adiponectin polymorphisms, adiposity and insulin metabolism: HERITAGE family study and Oulu diabetic study. Annals of Medicine. 37(2). 141–150. 39 indexed citations
18.
Santaniemi, Merja, Olavi Ukkola, & Y. Antero Kesäniemi. (2004). Tyrosine phosphatase 1B and leptin receptor genes and their interaction in type 2 diabetes. Journal of Internal Medicine. 256(1). 48–55. 29 indexed citations
19.
Ukkola, Olavi & Merja Santaniemi. (2002). Adiponectin: a link between excess adiposity and associated comorbidities?. Journal of Molecular Medicine. 80(11). 696–702. 298 indexed citations
20.
Ukkola, Olavi & Merja Santaniemi. (2002). Protein tyrosine phosphatase 1B: a new target for the treatment of obesity and associated co‐morbidities. Journal of Internal Medicine. 251(6). 467–475. 65 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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