Marju Tilly-Kiesi

671 citations
23 papers · 568 indexed · h-index 16

Marju Tilly-Kiesi

23 papers receiving 548 citations

Peers

Marju Tilly-Kiesi
Comparison fields: 5 of 57
  • Endocrinology, Diabetes and Metabolism 348
  • Clinical Biochemistry 61
  • Biochemistry 57
  • Surgery 285
  • Transplantation 16
Replace J. Jiménez-Perepérez with:
J. Jiménez-Perepérez Spain
T. T. Nguyen United States
A. Kandoussi France
Yoshisuke Maruhama Japan
T. Solakivi Finland
Sandra Bacon United States
Matthias Schlensak Germany
G. Kakis Canada
Bagdade Jd United States
Osamah Hussein Israel
Marju Tilly-Kiesi relative to J. Jiménez-Perepérez Spain J. Jiménez-Perepérez's profile →
Citations per field
00.5×3.2×
J. Jiménez-Perepérez · 1×
Citations per year

Countries citing papers authored by Marju Tilly-Kiesi

Since Specialization
Citations

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

Fields of papers citing papers by Marju Tilly-Kiesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marju Tilly-Kiesi. 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 Marju Tilly-Kiesi. The network helps show where Marju Tilly-Kiesi may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Marju Tilly-Kiesi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marju Tilly-Kiesi Line = papers co-authored together Marju Tilly-Kiesi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200415
2 19983
3 199854
4 199818
5 199714
6 199727
7 199720
8 199728
9 199615
10 199623
11
Hyperlipidemia enhances chronic rejection in experimental rat model.
19953
12 199435
13 19943
14 199429
15 199326
16
Effects of lovastatin and gemfibrozil on high-density lipoprotein subfraction density and composition in patients with familial hypercholesterolemia.
19928
17 199229
18 199138
19 199122
20 19915

About Marju Tilly-Kiesi

Marju Tilly-Kiesi is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research, having authored 23 papers that have together received 568 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Lipoproteins and Cardiovascular Health (12 papers), Cancer, Lipids, and Metabolism (5 papers), Lipid metabolism and disorders (4 papers), Hormonal and reproductive studies (3 papers), Cardiovascular Function and Risk Factors (3 papers), Estrogen and related hormone effects (2 papers) and Vitamin K Research Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (348 citations), Clinical Biochemistry (61 citations) and Biochemistry (57 citations). Marju Tilly-Kiesi has collaborated with scholars based in Finland, United Kingdom and United States. Frequent co-authors include Marja‐Riitta Taskinen, Sanni Lahdenperä, Matti J. Tikkanen, Juhani Kahri, H. Vuorinen-Markkola, Timo Kuusi, Christian Ehnholm, Alice H. Lichtenstein, T Kuusi and Sonja Ehnholm. Their work appears in journals such as Diabetes Care, Arteriosclerosis Thrombosis and Vascular Biology and Journal of Lipid Research.

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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