M.J. Savolainen
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Molecular Biology
- Pathology and Forensic Medicine
- Ophthalmology top 10%
- Co-authors
- Y. Antero KesäniemiMinna L. HannukselaY L MarcelA NissinenJohanna LiinamaaKalevi PyörälàKatriina Aalto‐SetäläI. Suramo
- Topics
- Cholesterol and Lipid Metabolism (3 papers)Lipoproteins and Cardiovascular Health (3 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers)
In The Last Decade
M.J. Savolainen
9 papers receiving 322 citations
Peers
Comparison fields: 5 of 47
- Endocrinology, Diabetes and Metabolism 127
- Surgery 120
- Molecular Biology 74
- Pathology and Forensic Medicine 66
- Ophthalmology 58
Countries citing papers authored by M.J. Savolainen
This map shows the geographic impact of M.J. Savolainen'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 M.J. Savolainen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.J. Savolainen more than expected).
Fields of papers citing papers by M.J. Savolainen
This network shows the impact of papers produced by M.J. Savolainen. 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 M.J. Savolainen. The network helps show where M.J. Savolainen may publish in the future.
Co-authorship network of co-authors of M.J. Savolainen
This figure shows the co-authorship network connecting the top 25 collaborators of M.J. Savolainen. A scholar is included among the top collaborators of M.J. Savolainen 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 M.J. Savolainen. M.J. Savolainen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 70 | |
| 4 | The Once-Daily Human GLP-1 Analog Liraglutide Reduces the Prevalence of Prediabetes and Improves Systolic Blood Pressure in Obese Non-Diabetic Subjects: A 52-Week, Randomized Placebo-Controlled Trial | 2 |
| 5 | 15 | |
| 6 | Effect of hypertension, diabetes and other cardiovascular risk factors on kidney size in middle-aged adults. | 30 |
| 7 | 162 | |
| 8 | 34 | |
| 9 | 13 |
About M.J. Savolainen
M.J. Savolainen is a scholar working on Ophthalmology, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 9 papers that have together received 329 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (127 citations), Ophthalmology (58 citations) and Pathology and Forensic Medicine (66 citations). M.J. Savolainen has collaborated with scholars based in Finland, Canada and Czechia. Frequent co-authors include Y. Antero Kesäniemi, Minna L. Hannuksela, Y L Marcel, A Nissinen, Johanna Liinamaa, Kalevi Pyörälà, Katriina Aalto‐Setälä, I. Suramo, Helena Gylling and T K Korhonen. Their work appears in journals such as Journal of Lipid Research, Atherosclerosis and Journal of Internal Medicine.
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.