Sanni Söderlund

2.9k citations
47 papers · 1.4k · h-index 24

Impact in

Papers in

Sanni Söderlund

46 papers receiving 1.4k citations

Peers

Sanni Söderlund
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 632
  • Cardiology and Cardiovascular Medicine 279
  • Epidemiology 348
  • Biochemistry 72
  • Cancer Research 133
Replace Allan D. Sniderman with:
Allan D. Sniderman Canada
Richard L. Dunbar United States
Elias Björnson Sweden
Miek C. Jong Netherlands
G Lübben Germany
Bernhard Föger Austria
Jeffrey B. Boord United States
Rebecca L. Pollex Canada
T W de Bruin Netherlands
Hiroshi Mokuno Japan
Sanni Söderlund relative to Allan D. Sniderman Canada Allan D. Sniderman's profile →
Citations per field
00.5×4.2×
Allan D. Sniderman · 1×
Citations per year

Countries citing papers authored by Sanni Söderlund

Since Specialization
Citations

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

Fields of papers citing papers by Sanni Söderlund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011113
2 2010100
3 201898
4 201783
5 200662
6 201561
7 202056
8 201055
9 201555
10 202052
11 201251
12 200850
13 201044
14 201043
15 201942
16 201936
17 201435
18 201932
19 201630
20 202129

About Sanni Söderlund

Sanni Söderlund is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Molecular Biology and Cancer Research, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers), Lipoproteins and Cardiovascular Health (11 papers), Liver Disease Diagnosis and Treatment (7 papers), Cancer, Lipids, and Metabolism (7 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Cholesterol and Lipid Metabolism (4 papers), Lipid metabolism and disorders (4 papers) and Genetic Associations and Epidemiology (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (632 citations), Cardiology and Cardiovascular Medicine (279 citations), Epidemiology (348 citations), Biochemistry (72 citations) and Cancer Research (133 citations). Sanni Söderlund has collaborated with scholars based in Finland, Sweden and United States. Frequent co-authors include Marja‐Riitta Taskinen, Antti Hakkarainen, Jan Borén, Niina Matikainen, Nina Lundbom, Martin Adiels, Matti Jauhiainen, Elias Björnson, Jesper Lundbom and Jukka Westerbacka. Their work appears in journals such as Atherosclerosis, Journal of Lipid Research, Journal of Internal Medicine, Arteriosclerosis Thrombosis and Vascular Biology and Diabetes Obesity and Metabolism.

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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