Marju Tilly-Kiesi

26 total papers · 671 total citations
23 papers, 568 citations indexed

About

Marju Tilly-Kiesi is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Marju Tilly-Kiesi has authored 23 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Endocrinology, Diabetes and Metabolism, 15 papers in Surgery and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Marju Tilly-Kiesi's work include Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Lipoproteins and Cardiovascular Health (12 papers) and Cancer, Lipids, and Metabolism (5 papers). Marju Tilly-Kiesi is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Lipoproteins and Cardiovascular Health (12 papers) and Cancer, Lipids, and Metabolism (5 papers). Marju Tilly-Kiesi collaborates with scholars based in Finland, United Kingdom and United States. Marju Tilly-Kiesi's co-authors include Marja‐Riitta Taskinen, Sanni Lahdenperä, Matti J. Tikkanen, Juhani Kahri, H. Vuorinen-Markkola, Timo Kuusi, Christian Ehnholm, T Kuusi, Alice H. Lichtenstein and Sonja Ehnholm and has published in prestigious journals such as Diabetes Care, Arteriosclerosis Thrombosis and Vascular Biology and Journal of Lipid Research.

In The Last Decade

Marju Tilly-Kiesi

23 papers receiving 546 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marju Tilly-Kiesi 348 285 122 96 81 23 568
N Vinaimont 331 1.0× 243 0.9× 144 1.2× 141 1.5× 68 0.8× 15 634
David Nevin 229 0.7× 195 0.7× 214 1.8× 102 1.1× 45 0.6× 17 574
S. C. Riemens 367 1.1× 220 0.8× 97 0.8× 127 1.3× 56 0.7× 19 593
Frank G. Perton 293 0.8× 265 0.9× 81 0.7× 107 1.1× 77 1.0× 23 506
C. Delcroix 251 0.7× 236 0.8× 81 0.7× 189 2.0× 61 0.8× 28 525
Anisa Jahangiri 189 0.5× 260 0.9× 121 1.0× 155 1.6× 58 0.7× 19 671
Gemma Gianfranceschi 319 0.9× 319 1.1× 141 1.2× 141 1.5× 86 1.1× 18 635
A. S. Fosbrooke 177 0.5× 170 0.6× 86 0.7× 106 1.1× 61 0.8× 26 558
Havel Rj 241 0.7× 218 0.8× 112 0.9× 139 1.4× 110 1.4× 18 594
Maire Rantala 167 0.5× 192 0.7× 113 0.9× 78 0.8× 48 0.6× 15 640

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 of co-authors of Marju Tilly-Kiesi

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

All Works

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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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