Mats Eriksson
- Surgery top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 1%
- Cancer Research top 1%
- Co-authors
- Bo AngelinJohn J.P. KasteleinCharles L. ShearBryan BrewerJames H. RevkinMichel KomajdaDavid D. WatersPhilip J. Barter
- Topics
- Lipoproteins and Cardiovascular Health (54 papers)Cholesterol and Lipid Metabolism (31 papers)Cancer, Lipids, and Metabolism (24 papers)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Mats Eriksson
133 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Surgery 3.8k
- Endocrinology, Diabetes and Metabolism 2.4k
- Molecular Biology 1.8k
- Cardiology and Cardiovascular Medicine 1.3k
- Cancer Research 1.1k
Countries citing papers authored by Mats Eriksson
This map shows the geographic impact of Mats Eriksson'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 Mats Eriksson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mats Eriksson more than expected).
Fields of papers citing papers by Mats Eriksson
This network shows the impact of papers produced by Mats Eriksson. 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 Mats Eriksson. The network helps show where Mats Eriksson may publish in the future.
Co-authorship network of co-authors of Mats Eriksson
This figure shows the co-authorship network connecting the top 25 collaborators of Mats Eriksson. A scholar is included among the top collaborators of Mats Eriksson 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 Mats Eriksson. Mats Eriksson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Treatment gaps in the implementation of LDL cholesterol control among high- and very high-risk patients in Europe between 2020 and 2021: the multinational observational SANTORINI studybreakdown → | 170 |
| 2 | Soat2 ties cholesterol metabolism to β-oxidation and glucose tolerance in male mice | 16 |
| 3 | 5 | |
| 4 | [Acute flaccid myelitis amongst Swedish children with a possible link to an outbreak of enterovirus D68]. | 1 |
| 5 | 24 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 29 | |
| 9 | 286 | |
| 10 | 83 | |
| 11 | 429 | |
| 12 | 22 | |
| 13 | 30 | |
| 14 | 26 | |
| 15 | 45 | |
| 16 | Kinetic analysis of LDL apoB transport and metabolism in non-steady states | 1 |
| 17 | 23 | |
| 18 | 8 | |
| 19 | 6 | |
| 20 | 7 |
About Mats Eriksson
Mats Eriksson is a scholar working on Biochemistry, Surgery and Endocrinology, Diabetes and Metabolism, having authored 135 papers that have together received 7.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (54 papers), Cholesterol and Lipid Metabolism (31 papers) and Cancer, Lipids, and Metabolism (24 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.4k citations), Surgery (3.8k citations) and Cancer Research (1.1k citations). Mats Eriksson has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Bo Angelin, John J.P. Kastelein, Charles L. Shear, Bryan Brewer, James H. Revkin, Michel Komajda, David D. Waters, Philip J. Barter, Mark J. Caulfield and Marian R. Fisher. Their work appears in journals such as Nature, New England Journal of Medicine and The Lancet.
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.