Bianca E Suur
Impact in
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- Tryptophan and brain disorders
- Genetics top 10%
- Genetic Associations and Epidemiology
Papers in
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- Atherosclerosis and Cardiovascular Diseases 6
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- Protease and Inhibitor Mechanisms 2
- Co-authors
- Emma Börgeson (2 shared papers)Matúš Soták (2 shared papers)Daniel F.J. Ketelhuth (5 shared papers)Konstantinos A. Polyzos (1 shared paper)Andreas Hermansson (1 shared paper)Marion Mußbacher (2 shared papers)María J. Forteza (2 shared papers)Daniel K. Johansson (1 shared paper)
- Journals
- Atherosclerosis (2 papers)Frontiers in Immunology (1 paper)Frontiers in Pharmacology (1 paper)Vascular Pharmacology (1 paper)Nature Metabolism (1 paper)
- Partner nations
- SwedenNetherlandsDenmark
In The Last Decade
Bianca E Suur
11 papers receiving 689 citations
Bianca E Suur's Hit Papers
Peers
Comparison fields: 5 of 75
- Biological Psychiatry 14
- Genetics 263
- Immunology 81
- Cardiology and Cardiovascular Medicine 63
- Epidemiology 83
Countries citing papers authored by Bianca E Suur
This map shows the geographic impact of Bianca E Suur'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 Bianca E Suur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bianca E Suur more than expected).
Fields of papers citing papers by Bianca E Suur
This network shows the impact of papers produced by Bianca E Suur. 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 Bianca E Suur. The network helps show where Bianca E Suur may publish in the future.
Co-authors
The 25 scholars most cited alongside Bianca E Suur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals Hit paper breakdown → | 2020 | 465 |
| 2 | Inflammation and resolution in obesity Hit paper breakdown → | 2024 | 99 |
| 3 | 2018 | 42 | |
| 4 | 2020 | 40 | |
| 5 | 2022 | 14 | |
| 6 | 2020 | 13 | |
| 7 | 2020 | 11 | |
| 8 | 2020 | 7 | |
| 9 | 2022 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2025 | 2 | |
| 12 | 2021 | 0 |
About Bianca E Suur
Bianca E Suur is a scholar working on Immunology, Cancer Research, Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 699 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (6 papers), Protease and Inhibitor Mechanisms (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Cholesterol and Lipid Metabolism (1 paper), Elasticity and Material Modeling (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper), Aortic aneurysm repair treatments (1 paper) and Lipid metabolism and disorders (1 paper). The work is most often cited by research in Biological Psychiatry (14 citations), Genetics (263 citations), Immunology (81 citations), Cardiology and Cardiovascular Medicine (63 citations) and Epidemiology (83 citations). Bianca E Suur has collaborated with scholars based in Sweden, Netherlands and Denmark. Frequent co-authors include Emma Börgeson, Matúš Soták, Daniel F.J. Ketelhuth, Konstantinos A. Polyzos, Andreas Hermansson, Marion Mußbacher, María J. Forteza, Daniel K. Johansson, Göran K. Hansson and Roland Baumgartner. Their work appears in journals such as Atherosclerosis, Frontiers in Immunology, Frontiers in Pharmacology, Vascular Pharmacology and Nature 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.