Piia Simonen

1.9k total citations
62 papers, 1.4k citations indexed

About

Piia Simonen is a scholar working on Surgery, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Piia Simonen has authored 62 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Surgery, 18 papers in Molecular Biology and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Piia Simonen's work include Cholesterol and Lipid Metabolism (36 papers), Lipoproteins and Cardiovascular Health (15 papers) and Sarcoidosis and Beryllium Toxicity Research (8 papers). Piia Simonen is often cited by papers focused on Cholesterol and Lipid Metabolism (36 papers), Lipoproteins and Cardiovascular Health (15 papers) and Sarcoidosis and Beryllium Toxicity Research (8 papers). Piia Simonen collaborates with scholars based in Finland, United States and Thailand. Piia Simonen's co-authors include Tatu A. Miettinen, Helena Gylling, Helena Gylling, Maarit Hallikainen, Alan Howard, Markku Kupari, Jukka Lehtonen, Markku Nissinen, Veikko A Koivisto and J. A. Tuominen and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and American Journal of Clinical Nutrition.

In The Last Decade

Piia Simonen

57 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Piia Simonen Finland 19 776 379 352 339 210 62 1.4k
Oliver Weingärtner Germany 23 913 1.2× 296 0.8× 166 0.5× 368 1.1× 97 0.5× 65 1.5k
Esther Ooi Australia 28 1.1k 1.4× 937 2.5× 255 0.7× 450 1.3× 102 0.5× 81 2.2k
Mercedes Heras Spain 27 390 0.5× 418 1.1× 321 0.9× 861 2.5× 67 0.3× 76 1.9k
Franco Pazzucconi Italy 26 719 0.9× 553 1.5× 175 0.5× 298 0.9× 73 0.3× 48 1.7k
Nilo B. Cater United States 18 846 1.1× 736 1.9× 131 0.4× 251 0.7× 95 0.5× 35 1.6k
Ornella Guardamagna Italy 24 606 0.8× 271 0.7× 349 1.0× 395 1.2× 32 0.2× 63 1.5k
Richard B. Horenstein United States 20 581 0.7× 554 1.5× 288 0.8× 564 1.7× 72 0.3× 27 1.8k
Eliana Cotta de Faria Brazil 20 401 0.5× 342 0.9× 160 0.5× 253 0.7× 36 0.2× 86 1.2k
Yasuhiko Homma Japan 21 534 0.7× 307 0.8× 113 0.3× 239 0.7× 55 0.3× 72 1.1k
Giovanni Battista Vigna Italy 21 806 1.0× 479 1.3× 114 0.3× 202 0.6× 79 0.4× 55 1.5k

Countries citing papers authored by Piia Simonen

Since Specialization
Citations

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

Fields of papers citing papers by Piia Simonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piia Simonen

This figure shows the co-authorship network connecting the top 25 collaborators of Piia Simonen. A scholar is included among the top collaborators of Piia Simonen 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 Piia Simonen. Piia Simonen 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.
Pöyhönen, Pauli, Jukka Lehtonen, Suvi Syväranta, et al.. (2024). Magnetic Resonance Imaging in the Assessment of the Risk of Sudden Death in Cardiac Sarcoidosis: What Is Extensive or Significant Late Gadolinium Enhancement?. Circulation Arrhythmia and Electrophysiology. 18(1). e013239–e013239. 6 indexed citations
2.
Pentikäinen, Markku O., Piia Simonen, Helena Tuunanen, et al.. (2024). Pulmonary hypertension in Finland 2008-2020: A descriptive real-world cohort study (FINPAH). SHILAP Revista de lepidopterología. 7. 100191–100191. 1 indexed citations
3.
Haddad, François, Antti Saraste, Kristiina Santalahti, et al.. (2024). Smartphone-Based Recognition of Heart Failure by Means of Microelectromechanical Sensors. JACC Heart Failure. 12(6). 1030–1040. 7 indexed citations
4.
5.
Gylling, Helena, et al.. (2024). The profile of cholesterol metabolism does not interfere with the cholesterol-lowering efficacy of phytostanol esters. Clinical Nutrition. 43(3). 587–592. 3 indexed citations
6.
Pöyhönen, Pauli, Jukka Lehtonen, Piia Simonen, et al.. (2024). 30-Year Trends in the Incidence, Characteristics, and Outcome of Cardiac Sarcoidosis in a Nationwide Cohort. SHILAP Revista de lepidopterología. 3(8). 101102–101102. 4 indexed citations
7.
Pentikäinen, Markku O., et al.. (2024). Economic burden of pulmonary arterial hypertension (PAH) and chronic thromboembolic pulmonary hypertension (CTEPH) in Finland. IJC Heart & Vasculature. 55. 101534–101534. 1 indexed citations
8.
Gylling, Helena, et al.. (2023). High cholesterol absorption, a potential risk factor for atherosclerosis. A possible proatherogenic mechanism in a cohort study. Atherosclerosis. 379. S132–S132. 2 indexed citations
9.
Simonen, Piia, et al.. (2023). High cholesterol absorption: A risk factor of atherosclerotic cardiovascular diseases?. Atherosclerosis. 376. 53–62. 18 indexed citations
10.
Simonen, Piia, Heli Tolppanen, Otto Hartman, et al.. (2023). The effect of hydroxychloroquine on cholesterol metabolism in statin treated patients after myocardial infarction. SHILAP Revista de lepidopterología. 53. 26–32. 3 indexed citations
11.
Simonen, Piia, et al.. (2023). Amiodarone accumulates two cholesterol precursors in myocardium: A controlled clinical study. Journal of Internal Medicine. 294(4). 506–514. 2 indexed citations
12.
13.
Gylling, Helena, et al.. (2018). Serum non-cholesterol sterols and cholesterol metabolism in childhood and adolescence. Atherosclerosis. 278. 91–96. 6 indexed citations
14.
Simonen, Piia, Jukka Lehtonen, Riina Kandolin, et al.. (2015). F-18-Fluorodeoxyglucose Positron Emission Tomography-Guided Sampling of Mediastinal Lymph Nodes in the Diagnosis of Cardiac Sarcoidosis. The American Journal of Cardiology. 116(10). 1581–1585. 37 indexed citations
15.
Simonen, Piia, Maarit Hallikainen, Kalervo Werkkala, et al.. (2015). Dietary plant stanols or sterols neither accumulate in stenotic aortic valves nor influence their structure or inflammatory status. Clinical Nutrition. 34(6). 1251–1257. 9 indexed citations
16.
17.
Gylling, Helena, Harri Lindholm, Piia Simonen, et al.. (2013). The effects of plant stanol ester consumption on arterial stiffness and endothelial function in adults: a randomised controlled clinical trial. BMC Cardiovascular Disorders. 13(1). 50–50. 33 indexed citations
18.
Gylling, Helena, Maarit Hallikainen, Piia Simonen, et al.. (2011). Serum and lipoprotein sitostanol and non-cholesterol sterols after an acute dose of plant stanol ester on its long-term consumption. European Journal of Nutrition. 51(5). 615–622. 10 indexed citations
19.
Gylling, Helena, Maarit Hallikainen, Radhakrishnan Rajaratnam, et al.. (2009). The metabolism of plant sterols is disturbed in postmenopausal women with coronary artery disease. Metabolism. 58(3). 401–407. 32 indexed citations
20.
Simonen, Piia, Helena Gylling, & Tatu A. Miettinen. (2002). Acute effects of weight reduction on cholesterol metabolism in obese type 2 diabetes. Clinica Chimica Acta. 316(1-2). 55–61. 31 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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