Sanja Sädevirta

1.3k citations
12 papers · 671 · 1 hit paper · h-index 9

Impact in

Papers in

Sanja Sädevirta

12 papers receiving 666 citations

Sanja Sädevirta's Hit Papers

Hepatic ceramides dissociate steatosis and insulin resistance in patients with non-alcoholic fatty liver disease 2016 · 342 citations
3420+3+6Years since publication100200300

Peers

Sanja Sädevirta
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 198
  • Epidemiology 343
  • Biochemistry 56
  • Hepatology 44
  • Cancer Research 67
Replace Francis Sanders with:
Francis Sanders United Kingdom
Xabier Buqué Spain
Mulugeta Seneshaw United States
Hironori Kitade Japan
Frank Jankowiak Germany
Ashwani Kapoor United States
I. Pierantonelli Italy
Hyohun Park Japan
Vicência Mara Rodrigues de Lima Brazil
Matthias Schlensak Germany
Sanja Sädevirta relative to Francis Sanders United Kingdom Francis Sanders's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sanja Sädevirta

Since Specialization
Citations

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

Fields of papers citing papers by Sanja Sädevirta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Hepatic ceramides dissociate steatosis and insulin resistance in patients with non-alcoholic fatty liver disease
Hit paper breakdown →
2016342
2 201574
3 202044
4 201644
5 201443
6 201631
7 202131
8 201531
9 201720
10 20197
11 20183
12 20161

About Sanja Sädevirta

Sanja Sädevirta is a scholar working on Epidemiology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology and Cancer Research, having authored 12 papers that have together received 671 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (3 papers), Diet, Metabolism, and Disease (2 papers), MicroRNA in disease regulation (2 papers), Diet and metabolism studies (1 paper), Liver Diseases and Immunity (1 paper), Hepatitis B Virus Studies (1 paper), Circular RNAs in diseases (1 paper) and Lipid metabolism and biosynthesis (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (198 citations), Epidemiology (343 citations), Biochemistry (56 citations), Hepatology (44 citations) and Cancer Research (67 citations). Sanja Sädevirta has collaborated with scholars based in Finland, Sweden and Germany. Frequent co-authors include Hannele Yki‐Järvinen, Panu K. Luukkonen, Marja Leivonen, You Zhou, Tuulia Hyötyläinen, Johanna Arola, Matej Orešič, Jarkko Soronen, Vesa M. Olkkonen and Ksenia Sevastianova. Their work appears in journals such as Journal of Hepatology, The Journal of Clinical Endocrinology & Metabolism, Arteriosclerosis Thrombosis and Vascular Biology, Obesity Facts and PLoS ONE.

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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