Aino Soro

733 total citations
10 papers, 581 citations indexed

About

Aino Soro is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Aino Soro has authored 10 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 5 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Surgery. Recurrent topics in Aino Soro's work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Lipid metabolism and disorders (3 papers) and Cholesterol and Lipid Metabolism (2 papers). Aino Soro is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Lipid metabolism and disorders (3 papers) and Cholesterol and Lipid Metabolism (2 papers). Aino Soro collaborates with scholars based in Finland, United States and Italy. Aino Soro's co-authors include Marja‐Riitta Taskinen, Jukka Westerbacka, Chris J. Packard, Sven‐Olof Olofsson, Philip Stewart, Muriel Caslake, Martin Adiels, Jan Borén, Bernt Wennberg and Kati Ylitalo and has published in prestigious journals such as The American Journal of Human Genetics, Arteriosclerosis Thrombosis and Vascular Biology and Journal of Lipid Research.

In The Last Decade

Aino Soro

10 papers receiving 559 citations

Peers

Aino Soro

EDM

SURGE

CCM

EPIDE

Sonja Ehnholm Finland

Changting Haudenschild United States

Heidi E. Lilja Finland

Pin Yue United States

Maxime Nowak France

S. Olofsson Sweden

Sabine Rütti Switzerland

F Berthezène France

Rossella Spina Italy

Frank G. Perton Netherlands

Sonja Ehnholm Finland

Aino Soro

277 ×1.0

EDM

296 ×1.3

SURGE

151 ×0.8

CCM

165 ×1.1

87 ×0.7

EPIDE

Citations per year, relative to Aino Soro Aino Soro (= 1×) peers Sonja Ehnholm

Countries citing papers authored by Aino Soro

Since Specialization

Citations

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

Fields of papers citing papers by Aino Soro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aino Soro

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

All Works

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10 of 10 papers shown

Kietäväinen, Riikka, Mari Raulio, Aino Soro, et al.. (2022). Epilithic Microbial Community Functionality in Deep Oligotrophic Continental Bedrock. Frontiers in Microbiology. 13. 826048–826048. 14 indexed citations

Adiels, Martin, Jan Borén, Muriel Caslake, et al.. (2005). Overproduction of VLDL ₁ Driven by Hyperglycemia Is a Dominant Feature of Diabetic Dyslipidemia. Arteriosclerosis Thrombosis and Vascular Biology. 25(8). 1697–1703. 202 indexed citations

Adiels, Martin, Chris J. Packard, Muriel Caslake, et al.. (2004). A new combined multicompartmental model for apolipoprotein B-100 and triglyceride metabolism in VLDL subfractions. Journal of Lipid Research. 46(1). 58–67. 98 indexed citations

Pajukanta, Päivi, Hooman Allayee, Kelly L. Krass, et al.. (2003). Combined Analysis of Genome Scans of Dutch and Finnish Families Reveals a Susceptibility Locus for High-Density Lipoprotein Cholesterol on Chromosome 16q. The American Journal of Human Genetics. 72(4). 903–917. 73 indexed citations

Alagona, C., Aino Soro, Jukka Westerbacka, et al.. (2003). Low HDL cholesterol concentration is associated with increased intima‐media thickness independent of arterial stiffness in healthy subjects from families with low HDL cholesterol. European Journal of Clinical Investigation. 33(6). 457–463. 25 indexed citations

Soro, Aino, Matti Jauhiainen, Christian Ehnholm, & Marja‐Riitta Taskinen. (2003). Determinants of low HDL levels in familial combined hyperlipidemia. Journal of Lipid Research. 44(8). 1536–1544. 32 indexed citations

Soro, Aino, Päivi Pajukanta, Heidi E. Lilja, et al.. (2002). Genome Scans Provide Evidence for Low-HDL-C Loci on Chromosomes 8q23, 16q24.1-24.2, and 20q13.11 in Finnish Families. The American Journal of Human Genetics. 70(5). 1333–1340. 87 indexed citations

Lilja, Heidi E., Aino Soro, Kati Ylitalo, et al.. (2002). A candidate gene study in low HDL-cholesterol families provides evidence for the involvement of the APOA2 gene and the APOA1C3A4 gene cluster. Atherosclerosis. 164(1). 103–111. 17 indexed citations

Alagona, C., Aino Soro, Kati Ylitalo, et al.. (2002). A low high density lipoprotein (HDL) level is associated with carotid artery intima-media thickness in asymptomatic members of low HDL families. Atherosclerosis. 165(2). 309–316. 31 indexed citations

10.

Soro, Aino, Päivi Pajukanta, Kati Ylitalo, et al.. (2002). Genome scans provide evidence for low HDL-C loci on 8q23, 16q24.1-24.2 and 20q13.11 in Finnish families. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 2 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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