Eija Ruotsalainen

695 total citations
16 papers, 539 citations indexed

About

Eija Ruotsalainen is a scholar working on Epidemiology, Physiology and Molecular Biology. According to data from OpenAlex, Eija Ruotsalainen has authored 16 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Physiology and 4 papers in Molecular Biology. Recurrent topics in Eija Ruotsalainen's work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Adipose Tissue and Metabolism (5 papers) and Regulation of Appetite and Obesity (3 papers). Eija Ruotsalainen is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (7 papers), Adipose Tissue and Metabolism (5 papers) and Regulation of Appetite and Obesity (3 papers). Eija Ruotsalainen collaborates with scholars based in Finland, United States and France. Eija Ruotsalainen's co-authors include Jussi Pihlajamäki, Markku Laakso, Sakari Kainulainen, Ilkka Vauhkonen, Kari Punnonen, Urpu Salmenniemi, Esko Vanninen, Urpu Salmenniemi, Jos Verbeek and Teemu Kuulasmaa and has published in prestigious journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Eija Ruotsalainen

16 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eija Ruotsalainen Finland 12 284 194 111 97 96 16 539
David Gable United Kingdom 11 219 0.8× 218 1.1× 135 1.2× 124 1.3× 151 1.6× 18 686
Tatsuya Nishimiya Japan 13 328 1.2× 232 1.2× 53 0.5× 72 0.7× 133 1.4× 25 601
Perla J. Martinez United States 9 228 0.8× 90 0.5× 85 0.8× 43 0.4× 63 0.7× 9 478
Jennifer Tabita‐Martinez United States 6 286 1.0× 223 1.1× 112 1.0× 59 0.6× 213 2.2× 6 651
Malaka B. Jackson United States 8 215 0.8× 192 1.0× 73 0.7× 34 0.4× 95 1.0× 8 518
Mariano J. Taverna France 12 129 0.5× 134 0.7× 173 1.6× 61 0.6× 99 1.0× 19 511
Gregor Holzer Austria 10 182 0.6× 114 0.6× 55 0.5× 89 0.9× 47 0.5× 16 495
Roy J. Kim United States 11 207 0.7× 205 1.1× 77 0.7× 36 0.4× 196 2.0× 16 705
Aki Hiuge-Shimizu Japan 10 172 0.6× 179 0.9× 187 1.7× 154 1.6× 89 0.9× 11 504
Laurie Bernstein United States 12 183 0.6× 335 1.7× 45 0.4× 55 0.6× 199 2.1× 32 717

Countries citing papers authored by Eija Ruotsalainen

Since Specialization
Citations

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

Fields of papers citing papers by Eija Ruotsalainen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eija Ruotsalainen

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

All Works

16 of 16 papers shown
1.
Patovirta, Riitta-Liisa, et al.. (2024). COVID-19 vaccination among health care workers in Finland: coverage, perceptions and attitudes. Scandinavian Journal of Public Health. 52(3). 309–315. 1 indexed citations
2.
Mentula, Silja, et al.. (2014). Legionella longbeachae infection in a persistent hand‐wound after a gardening accident. JMM Case Reports. 1(4). e004374–e004374. 7 indexed citations
3.
Verbeek, Jos, et al.. (2011). Interventions to reduce risky sexual behaviour for preventing HIV infection in workers in occupational settings. Cochrane Database of Systematic Reviews. CD005274–CD005274. 24 indexed citations
4.
Ruotsalainen, Eija, Alena Stančáková, Ilkka Vauhkonen, et al.. (2009). Changes in Cytokine Levels During Acute Hyperinsulinemia in Offspring of Type 2 Diabetic Subjects. Atherosclerosis. 210(2). 536–541. 12 indexed citations
5.
Ruotsalainen, Eija, et al.. (2008). Cluster of imported malaria from Gambia in Finland – travellers do not listen to given advice. Eurosurveillance. 13(51). 11 indexed citations
6.
Ruotsalainen, Eija, Ilkka Vauhkonen, Urpu Salmenniemi, et al.. (2007). Markers of endothelial dysfunction and low-grade inflammation are associated in the offspring of type 2 diabetic subjects. Atherosclerosis. 197(1). 271–277. 29 indexed citations
7.
Rutanen, Jarno, Jussi Pihlajamäki, Urpu Salmenniemi, et al.. (2007). Single Nucleotide Polymorphisms of the MCHR1 Gene Do Not Affect Metabolism in Humans. Obesity. 15(12). 2902–2907. 8 indexed citations
8.
Rutanen, Jarno, Jussi Pihlajamäki, Urpu Salmenniemi, et al.. (2006). Single Nucleotide Polymorphisms of theMelanocortin-3 ReceptorGene Are Associated with Substrate Oxidation and First-Phase Insulin Secretion in Offspring of Type 2 Diabetic Subjects. The Journal of Clinical Endocrinology & Metabolism. 92(3). 1112–1117. 14 indexed citations
9.
Pihlajamäki, Jussi, Hana Koutníková, Eija Ruotsalainen, et al.. (2006). Visceral Obesity is Associated with High Levels of Serum Squalene. Obesity. 14(7). 1155–1163. 26 indexed citations
10.
Pihlajamäki, Jussi, Urpu Salmenniemi, Eija Ruotsalainen, et al.. (2006). Common polymorphisms of calpain-10 are associated with abdominal obesity in subjects at high risk of type 2 diabetes. Diabetologia. 49(7). 1560–1566. 22 indexed citations
11.
Ruotsalainen, Eija, Urpu Salmenniemi, Ilkka Vauhkonen, et al.. (2006). Changes in Inflammatory Cytokines Are Related to Impaired Glucose Tolerance in Offspring of Type 2 Diabetic Subjects. Diabetes Care. 29(12). 2714–2720. 61 indexed citations
12.
Salmenniemi, Urpu, Eija Ruotsalainen, Ilkka Vauhkonen, et al.. (2005). Association of Adiponectin Level and Variants in the Adiponectin Gene with Glucose Metabolism, Energy Expenditure, and Cytokines in Offspring of Type 2 Diabetic Patients. The Journal of Clinical Endocrinology & Metabolism. 90(7). 4216–4223. 65 indexed citations
13.
Salmenniemi, Urpu, Eija Ruotsalainen, Ilkka Vauhkonen, et al.. (2005). High amount of visceral fat mass is associated with multiple metabolic changes in offspring of type 2 diabetic patients. International Journal of Obesity. 29(12). 1464–1470. 19 indexed citations
14.
Pihlajamäki, Jussi, Eija Ruotsalainen, Urpu Salmenniemi, et al.. (2005). Haplotypes of PPARGC1A are associated with glucose tolerance, body mass index and insulin sensitivity in offspring of patients with type 2 diabetes. Diabetologia. 48(7). 1331–1334. 22 indexed citations
15.
Karhapää, Pauli, Heidi Taipale, Urpu Salmenniemi, et al.. (2005). A 100-kDa urinary protein is associated with insulin resistance in offspring of type 2 diabetic patients. Diabetologia. 48(9). 1844–1850. 4 indexed citations
16.
Salmenniemi, Urpu, Eija Ruotsalainen, Jussi Pihlajamäki, et al.. (2004). Multiple Abnormalities in Glucose and Energy Metabolism and Coordinated Changes in Levels of Adiponectin, Cytokines, and Adhesion Molecules in Subjects With Metabolic Syndrome. Circulation. 110(25). 3842–3848. 214 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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