Aino Mutka

620 citations
18 papers · 474 · h-index 9

Impact in

Papers in

    • Cholesterol and Lipid Metabolism 5
    • Pediatric Hepatobiliary Diseases and Treatments 3
    • Sphingolipid Metabolism and Signaling 3
    • Peroxisome Proliferator-Activated Receptors 2
    • Lipid Membrane Structure and Behavior 2

Aino Mutka

18 papers receiving 468 citations

Peers

Aino Mutka
Comparison fields: 5 of 71
  • Physiology 26
  • Cell Biology 88
  • Physiology 129
  • Surgery 182
  • Cancer Research 55
Replace Mark Z. Chen with:
Mark Z. Chen United States
Ju-Qiong Wang China
Lisa Logie United Kingdom
Emilia Zmuda‐Trzebiatowska Sweden
Hassan Mziaut Germany
Hwanju Cheon South Korea
Ainara G. Cabodevilla United States
Carsten Friedrich Danzer Switzerland
Liliana I. Vera United States
Aino Mutka relative to Mark Z. Chen United States Mark Z. Chen's profile →
Citations per field
00.5×1.5×
Mark Z. Chen · 1×
Citations per year

Countries citing papers authored by Aino Mutka

Since Specialization
Citations

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

Fields of papers citing papers by Aino Mutka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2005111
2 200565
3 200563
4 201042
5 200441
6 201038
7 200737
8 200927
9 201322
10 20236
11 20226
12 20245
13 20254
14 20203
15 20251
16 20241
17 20201
18 20231

About Aino Mutka

Aino Mutka is a scholar working on Surgery, Molecular Biology, Physiology, Oncology and Cell Biology, having authored 18 papers that have together received 474 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (5 papers), Pediatric Hepatobiliary Diseases and Treatments (3 papers), Sphingolipid Metabolism and Signaling (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Cellular transport and secretion (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Physiology (26 citations), Cell Biology (88 citations), Physiology (129 citations), Surgery (182 citations) and Cancer Research (55 citations). Aino Mutka has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Elina Ikonen, Eija Jokitalo, Bart Staels, Giulia Chinetti, Marco Lepore, Elena Rigamonti, V. Clavey, Sophie Lestavel, Maarit Hölttä‐Vuori and Fabien Alpy. Their work appears in journals such as Circulation Research, Journal of Hepatology, European Heart Journal - Cardiovascular Imaging, Journal of Lipid Research and International Journal of Pediatric Otorhinolaryngology.

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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