Mauri Laakso
- Endocrinology, Diabetes and Metabolism top 0.05%
- Physiology top 0.5%
- Public Health, Environmental and Occupational Health top 0.5%
- Epidemiology top 1%
- Molecular Biology top 5%
- Co-authors
- Sirkka Keinänen‐KiukaanniemiMatti UusitupaJaakko TuomilehtoHelena HämäläinenTimo T. ValleJohan G. ErikssonPirjo Ilanne‐ParikkaSirkka Aunola
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers)Metabolism, Diabetes, and Cancer (6 papers)Diabetes Management and Research (5 papers)
- Journals
- New England Journal of MedicineThe LancetThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- FinlandGermanyUnited States
In The Last Decade
Mauri Laakso
42 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Endocrinology, Diabetes and Metabolism 6.1k
- Physiology 3.3k
- Public Health, Environmental and Occupational Health 2.3k
- Epidemiology 1.6k
- Molecular Biology 1.5k
Countries citing papers authored by Mauri Laakso
This map shows the geographic impact of Mauri Laakso'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 Mauri Laakso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauri Laakso more than expected).
Fields of papers citing papers by Mauri Laakso
This network shows the impact of papers produced by Mauri Laakso. 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 Mauri Laakso. The network helps show where Mauri Laakso may publish in the future.
Co-authorship network of co-authors of Mauri Laakso
This figure shows the co-authorship network connecting the top 25 collaborators of Mauri Laakso. A scholar is included among the top collaborators of Mauri Laakso 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 Mauri Laakso. Mauri Laakso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 11 | |
| 3 | 3 | |
| 4 | 19 | |
| 5 | 38 | |
| 6 | 11 | |
| 7 | 34 | |
| 8 | 239 | |
| 9 | 44 | |
| 10 | 30 | |
| 11 | 23 | |
| 12 | 102 | |
| 13 | 46 | |
| 14 | 165 | |
| 15 | 61 | |
| 16 | Variation in the fatty acid binding protein 2 gene is not associated with markers of metabolic syndrome in patients with coronary heart disease. | 24 |
| 17 | 108 | |
| 18 | 65 | |
| 19 | 28 | |
| 20 | 21 |
About Mauri Laakso
Mauri Laakso is a scholar working on Endocrinology, Diabetes and Metabolism, Occupational Therapy and Urology, having authored 43 papers that have together received 11.0k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers), Metabolism, Diabetes, and Cancer (6 papers) and Diabetes Management and Research (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (6.1k citations), Pharmacy (1.1k citations) and Physiology (3.3k citations). Mauri Laakso has collaborated with scholars based in Finland, Germany and United States. Frequent co-authors include Sirkka Keinänen‐Kiukaanniemi, Matti Uusitupa, Jaakko Tuomilehto, Helena Hämäläinen, Timo T. Valle, Johan G. Eriksson, Pirjo Ilanne‐Parikka, Sirkka Aunola, Jaana Lindström and Anne Louheranta. Their work appears in journals such as New England Journal of Medicine, The Lancet and The Journal of Clinical Endocrinology & 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.