Markku Laakso
Impact in
- Endocrinology, Diabetes and Metabolism top 0.01%
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Treatment and Management
- Diabetes Management and Research
- Geriatrics and Gerontology top 0.05%
Papers in
-
- Metabolism, Diabetes, and Cancer 65
- Peroxisome Proliferator-Activated Receptors 48
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 112
- Co-authors
- Kalevi Pyörälà (62 shared papers)Seppo Lehto (45 shared papers)Tapani Rönnemaa (43 shared papers)Steven M. Haffner (23 shared papers)Johanna Kuusisto (80 shared papers)Leena Mykkänen (51 shared papers)Matti Uusitupa (71 shared papers)Jussi Pihlajamäki (89 shared papers)
- Journals
- Diabetes Care (51 papers)Diabetes (46 papers)Diabetologia (40 papers)The Journal of Clinical Endocrinology & Metabolism (33 papers)Atherosclerosis (21 papers)
- Partner nations
- FinlandUnited StatesSweden
In The Last Decade
Markku Laakso
663 papers receiving 52.6k citations
Markku Laakso's Hit Papers
Peers
Comparison fields: 5 of 192
- Endocrinology, Diabetes and Metabolism 16.0k
- Geriatrics and Gerontology 2.0k
- Physiology 10.2k
- Cardiology and Cardiovascular Medicine 8.4k
- Endocrine and Autonomic Systems 1.5k
Countries citing papers authored by Markku Laakso
This map shows the geographic impact of Markku 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 Markku Laakso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markku Laakso more than expected).
Fields of papers citing papers by Markku Laakso
This network shows the impact of papers produced by Markku 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 Markku Laakso. The network helps show where Markku Laakso may publish in the future.
Co-authors
The 25 scholars most cited alongside Markku Laakso, 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 671 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mortality from Coronary Heart Disease in Subjects with Type 2 Diabetes and in Nondiabetic Subjects with and without Prior Myocardial Infarction Hit paper breakdown → | 1998 | 5178 |
| 2 | Resveratrol Improves Mitochondrial Function and Protects against Metabolic Disease by Activating SIRT1 and PGC-1α Hit paper breakdown → | 2006 | 3382 |
| 3 | Acarbose for prevention of type 2 diabetes mellitus: the STOP-NIDDM randomised trial Hit paper breakdown → | 2002 | 1809 |
| 4 | Acarbose Treatment and the Risk of Cardiovascular Disease and Hypertension in Patients With Impaired Glucose Tolerance Hit paper breakdown → | 2003 | 1229 |
| 5 | A Pro12Ala substitution in PPARγ2 associated with decreased receptor activity, lower body mass index and improved insulin sensitivity Hit paper breakdown → | 1998 | 1071 |
| 6 | Decreased effect of insulin to stimulate skeletal muscle blood flow in obese man. A novel mechanism for insulin resistance. Hit paper breakdown → | 1990 | 801 |
| 7 | Diabetes and atherosclerosis: An epidemiologic view Hit paper breakdown → | 1987 | 743 |
| 8 | Intense metabolic control by means of insulin in patients with diabetes mellitus and acute myocardial infarction (DIGAMI 2): effects on mortality and morbidity Hit paper breakdown → | 2005 | 729 |
| 9 | How Good a Marker Is Insulin Level for Insulin Resistance? Hit paper breakdown → | 1993 | 649 |
| 10 | Insulin resistance and hyperglycaemia in cardiovascular disease development Hit paper breakdown → | 2014 | 598 |
| 11 | Hyperglycemia and cardiovascular disease in type 2 diabetes. Hit paper breakdown → | 1999 | 577 |
| 12 | Medial Artery Calcification Hit paper breakdown → | 1996 | 490 |
| 13 | 1994 | 441 | |
| 14 | 2003 | 394 | |
| 15 | 1992 | 388 | |
| 16 | 1996 | 372 | |
| 17 | 1997 | 354 | |
| 18 | 2005 | 327 | |
| 19 | 1998 | 322 | |
| 20 | Type 2 diabetes genetic loci informed by multi-trait associations point to disease mechanisms and subtypes: A soft clustering analysis Hit paper breakdown → | 2018 | 314 |
About Markku Laakso
Markku Laakso is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Surgery and Cardiology and Cardiovascular Medicine, having authored 671 papers that have together received 54.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (112 papers), Adipose Tissue and Metabolism (78 papers), Metabolism, Diabetes, and Cancer (65 papers), Adipokines, Inflammation, and Metabolic Diseases (50 papers), Peroxisome Proliferator-Activated Receptors (48 papers), Diet and metabolism studies (45 papers), Pancreatic function and diabetes (44 papers) and Genetic Associations and Epidemiology (42 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (16.0k citations), Geriatrics and Gerontology (2.0k citations), Physiology (10.2k citations), Cardiology and Cardiovascular Medicine (8.4k citations) and Endocrine and Autonomic Systems (1.5k citations). Markku Laakso has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Kalevi Pyörälà, Seppo Lehto, Tapani Rönnemaa, Steven M. Haffner, Johanna Kuusisto, Leena Mykkänen, Matti Uusitupa, Jussi Pihlajamäki, Jean‐Louis Chiasson and M Hanefeld. Their work appears in journals such as Diabetes Care, Diabetes, Diabetologia, The Journal of Clinical Endocrinology & Metabolism and Atherosclerosis.
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.