Mari Levula

1.4k citations
22 papers · 988 · h-index 17

Impact in

Papers in

    • Signaling Pathways in Disease 3
    • Lipoproteins and Cardiovascular Health 3
    • Infectious Aortic and Vascular Conditions 2

Mari Levula

22 papers receiving 973 citations

Peers

Mari Levula
Comparison fields: 5 of 85
  • Cancer Research 399
  • Biological Psychiatry 39
  • Immunology 219
  • Immunology and Allergy 57
  • Molecular Biology 552
Replace Xiaobo Mao with:
Xiaobo Mao China
Lieve Temmerman Netherlands
Jorge Oller Spain
Wenyuan Zhao United States
Jonathan Vanhoutte France
Zhiyong Wu China
H Häntzschel Germany
Tao Sun China
Mari Levula relative to Xiaobo Mao China Xiaobo Mao's profile →
Citations per field
00.5×1.5×2.2×
Xiaobo Mao · 1×
Citations per year

Countries citing papers authored by Mari Levula

Since Specialization
Citations

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

Fields of papers citing papers by Mari Levula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mari Levula, 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 Mari Levula Line = papers co-authored together Mari Levula links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011374
2 201168
3 200965
4 200958
5 201740
6 201038
7 200936
8 201534
9 201334
10 201530
11 200829
12 200928
13 200623
14 201118
15 201118
16 201718
17 201117
18 201016
19 201214
20 201312

About Mari Levula

Mari Levula is a scholar working on Molecular Biology, Surgery, Oncology, Epidemiology and Cancer Research, having authored 22 papers that have together received 988 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (3 papers), Cell Adhesion Molecules Research (3 papers), Protease and Inhibitor Mechanisms (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Infectious Aortic and Vascular Conditions (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), MicroRNA in disease regulation (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Cancer Research (399 citations), Biological Psychiatry (39 citations), Immunology (219 citations), Immunology and Allergy (57 citations) and Molecular Biology (552 citations). Mari Levula has collaborated with scholars based in Finland, Germany and Belgium. Frequent co-authors include Terho Lehtimäki, Mika Kähönen, Reijo Laaksonen, Niku Oksala, Emma Raitoharju, Leo‐Pekka Lyytikäinen, Norman Klopp, Pekka J. Karhunen, Thomas Illig and Ari Mennander. Their work appears in journals such as Atherosclerosis, Scandinavian Journal of Clinical and Laboratory Investigation, Annals of Medicine, Scientific Reports and European Journal of Dermatology.

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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