Mauri Laakso

16.2k citations
43 papers · 11.0k indexed · 2 hit papers · h-index 27
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers)Metabolism, Diabetes, and Cancer (6 papers)Diabetes Management and Research (5 papers)

In The Last Decade

Mauri Laakso

42 papers receiving 10.2k citations

Hit Papers

Prevention of Type 2 Diabetes Mellitus by Changes in Life...2001202620092017200120062.5k5.0k7.5k

Peers

Mauri Laakso
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
Replace Timo T. Valle with:
Timo T. Valle Finland
Helena Hämäläinen Finland
Marjo Mannelin Finland
Merja Rastas Finland
Sirkka Aunola Finland
Pirjo Ilanne‐Parikka Finland
Anne Louheranta Finland
Vladislav Moltchanov Finland
Žygimantas Čepaitis United States
V. Martikkala Finland
Mauri Laakso relative to Timo T. Valle Finland Timo T. Valle's profile →
Citations per field
00.5×1.5×
Timo T. Valle · 1×
Citations per year

Countries citing papers authored by Mauri Laakso

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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.

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