M.J. Savolainen

405 total citations
9 papers, 329 citations indexed

About

M.J. Savolainen is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, M.J. Savolainen has authored 9 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Molecular Biology. Recurrent topics in M.J. Savolainen's work include Cholesterol and Lipid Metabolism (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). M.J. Savolainen is often cited by papers focused on Cholesterol and Lipid Metabolism (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). M.J. Savolainen collaborates with scholars based in Finland, Canada and Czechia. M.J. Savolainen's co-authors include Y. Antero Kesäniemi, Minna L. Hannuksela, Y L Marcel, Johanna Liinamaa, A Nissinen, I. Suramo, Hannu Turtola, J. Merikanto, Y. Antero Kesäniemi and Antti Reunanen and has published in prestigious journals such as Journal of Lipid Research, Atherosclerosis and Journal of Internal Medicine.

In The Last Decade

M.J. Savolainen

9 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M.J. Savolainen Finland	6	127	120	74	66	58	9	329
Danfeng Peng China	13	102 0.8×	99 0.8×	115 1.6×	63 1.0×	26 0.4×	36	416
Samantha Cordone Italy	6	63 0.5×	72 0.6×	156 2.1×	28 0.4×	27 0.5×	6	453
Nakhoul Nakhoul Israel	13	59 0.5×	44 0.4×	99 1.3×	39 0.6×	66 1.1×	24	388
Wanbing He China	12	74 0.6×	55 0.5×	83 1.1×	16 0.2×	25 0.4×	31	352
Gentaro Watanabe Japan	9	84 0.7×	56 0.5×	40 0.5×	25 0.4×	28 0.5×	15	494
M. Ciccarese Italy	10	250 2.0×	266 2.2×	106 1.4×	16 0.2×	21 0.4×	16	589
Yuichiro Makita Japan	13	109 0.9×	73 0.6×	128 1.7×	21 0.3×	14 0.2×	22	505
Chizuru Watanabe Japan	12	240 1.9×	144 1.2×	196 2.6×	23 0.3×	20 0.3×	19	594
Seong Yeon Kim South Korea	4	142 1.1×	93 0.8×	81 1.1×	16 0.2×	13 0.2×	8	323
Atsuko Tomizawa Japan	8	43 0.3×	69 0.6×	173 2.3×	26 0.4×	21 0.4×	9	430

Countries citing papers authored by M.J. Savolainen

Since Specialization

Citations

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

Fields of papers citing papers by M.J. Savolainen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.J. Savolainen. 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 M.J. Savolainen. The network helps show where M.J. Savolainen may publish in the future.

Co-authorship network of co-authors of M.J. Savolainen

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

All Works

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9 of 9 papers shown

Ruuth, Maija, Su Duy Nguyen, Terhi Vihervaara, et al.. (2018). Susceptibility of LDL particles to aggregate depends on particle lipidome, is modifiable, and associates with future cardiovascular deaths. Atherosclerosis. 275. e32–e32. 1 indexed citations

Kakko, Sakari, M.J. Savolainen, Sanna Seitsonen, et al.. (2013). The effects of interleukin‐8, VEGF and CFH polymorphisms on the long‐term response to bevacizumab therapy in exudative age‐related macular degeneration. Acta Ophthalmologica. 91(s252). 0–0. 2 indexed citations

Nissinen, A, et al.. (2012). High Vitreous Concentration of IL-6 and IL-8, but Not of Adhesion Molecules in Relation to Plasma Concentrations in Proliferative Diabetic Retinopathy. Ophthalmic Research. 49(2). 108–114. 70 indexed citations

Finer, Nick, L. Van Gaal, Arne Astrup, et al.. (2009). The Once-Daily Human GLP-1 Analog Liraglutide Reduces the Prevalence of Prediabetes and Improves Systolic Blood Pressure in Obese Non-Diabetic Subjects: A 52-Week, Randomized Placebo-Controlled Trial. 2 indexed citations

Korhonen, T K, et al.. (1999). The effect of the apolipoprotein E phenotype on cholesteryl ester transfer protein activity, plasma lipids and apolipoprotein A I levels in hypercholesterolaemic patients on colestipol and lovastatin treatment. European Journal of Clinical Pharmacology. 54(12). 903–910. 15 indexed citations

Merikanto, J., M.J. Savolainen, Mauno Lilja, et al.. (1998). Effect of hypertension, diabetes and other cardiovascular risk factors on kidney size in middle-aged adults.. PubMed. 50(3). 161–8. 30 indexed citations

Hannuksela, Minna L., Y L Marcel, Y. Antero Kesäniemi, & M.J. Savolainen. (1992). Reduction in the concentration and activity of plasma cholesteryl ester transfer protein by alcohol.. Journal of Lipid Research. 33(5). 737–744. 162 indexed citations

Aalto‐Setälä, Katriina, Ulla‐Maija Koivisto, T.A. Miettinen, et al.. (1992). Prevalence and geographical distribution of major LDL receptor gene rearrangements in Finland. Journal of Internal Medicine. 231(3). 227–234. 34 indexed citations

Savolainen, M.J., et al.. (1985). Relationship between lipid composition and drug metabolizing capacity of human liver. European Journal of Clinical Pharmacology. 27(6). 727–732. 13 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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