Max Vikström
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
Papers in
-
- Systemic Lupus Erythematosus Research 8
-
- Atherosclerosis and Cardiovascular Diseases 6
- Co-authors
- Ulf dé Fairé (23 shared papers)Mai-Lis Hellénius (12 shared papers)Karin Leander (20 shared papers)Johan Frostegård (10 shared papers)Bruna Gigante (13 shared papers)Jun Su (5 shared papers)Elin Ekblom‐Bak (2 shared papers)Bjorn T. Ekblom (1 shared paper)
- Journals
- PLoS ONE (7 papers)Scientific Reports (3 papers)BMC Cardiovascular Disorders (2 papers)British Journal of Sports Medicine (2 papers)Frontiers in Physiology (1 paper)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Max Vikström
39 papers receiving 1.8k citations
Max Vikström's Hit Papers
Peers
Comparison fields: 5 of 103
- Genetics 563
- Nephrology 128
- Rheumatology 162
- Immunology 170
- Nutrition and Dietetics 92
Countries citing papers authored by Max Vikström
This map shows the geographic impact of Max Vikström'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 Max Vikström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Vikström more than expected).
Fields of papers citing papers by Max Vikström
This network shows the impact of papers produced by Max Vikström. 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 Max Vikström. The network helps show where Max Vikström may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Vikström, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance Hit paper breakdown → | 2012 | 681 |
| 2 | 2018 | 163 | |
| 3 | 2013 | 116 | |
| 4 | 2010 | 105 | |
| 5 | 2014 | 63 | |
| 6 | 2013 | 62 | |
| 7 | 2010 | 56 | |
| 8 | 2019 | 50 | |
| 9 | 2017 | 42 | |
| 10 | 2012 | 41 | |
| 11 | 2015 | 40 | |
| 12 | 2012 | 38 | |
| 13 | 2006 | 35 | |
| 14 | 2014 | 28 | |
| 15 | 2009 | 25 | |
| 16 | 2020 | 25 | |
| 17 | 2016 | 22 | |
| 18 | 2010 | 20 | |
| 19 | 2012 | 20 | |
| 20 | 2020 | 17 |
About Max Vikström
Max Vikström is a scholar working on Rheumatology, Immunology, Nutrition and Dietetics, Genetics and Cardiology and Cardiovascular Medicine, having authored 40 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Systemic Lupus Erythematosus Research (8 papers), Atherosclerosis and Cardiovascular Diseases (6 papers), Fatty Acid Research and Health (4 papers), Pharmaceutical Practices and Patient Outcomes (2 papers), Physical Activity and Health (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers) and Health Promotion and Cardiovascular Prevention (2 papers). The work is most often cited by research in Genetics (563 citations), Nephrology (128 citations), Rheumatology (162 citations), Immunology (170 citations) and Nutrition and Dietetics (92 citations). Max Vikström has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Ulf dé Fairé, Mai-Lis Hellénius, Karin Leander, Johan Frostegård, Bruna Gigante, Jun Su, Elin Ekblom‐Bak, Bjorn T. Ekblom, Roland Fiskesund and Thomas P. Gustafsson. Their work appears in journals such as PLoS ONE, Scientific Reports, BMC Cardiovascular Disorders, British Journal of Sports Medicine and Frontiers in Physiology.
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.