Markku Taittonen
- Physiology top 0.5%
- Epidemiology top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Rehabilitation top 0.5%
- Molecular Biology
- Co-authors
- Pirjo NuutilaKirsi A. VirtanenTarja NiemiJanne OravaMartin E. LidellSven EnerbäckJukka LaineRickard Westergren
- Topics
- Adipose Tissue and Metabolism (12 papers)Anesthesia and Sedative Agents (7 papers)Treatment of Major Depression (5 papers)
- Cited by
- PhysiologyRehabilitationBiochemistry
In The Last Decade
Markku Taittonen
35 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Physiology 3.0k
- Epidemiology 1.3k
- Cardiology and Cardiovascular Medicine 935
- Rehabilitation 737
- Molecular Biology 595
Countries citing papers authored by Markku Taittonen
This map shows the geographic impact of Markku Taittonen'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 Taittonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markku Taittonen more than expected).
Fields of papers citing papers by Markku Taittonen
This network shows the impact of papers produced by Markku Taittonen. 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 Taittonen. The network helps show where Markku Taittonen may publish in the future.
Co-authorship network of co-authors of Markku Taittonen
This figure shows the co-authorship network connecting the top 25 collaborators of Markku Taittonen. A scholar is included among the top collaborators of Markku Taittonen 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 Markku Taittonen. Markku Taittonen 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 | 33 | |
| 4 | 52 | |
| 5 | 41 | |
| 6 | 11 | |
| 7 | 22 | |
| 8 | 38 | |
| 9 | 6 | |
| 10 | Different Metabolic Responses of Human Brown Adipose Tissue to Activation by Cold and Insulinbreakdown → | 581 |
| 11 | 52 | |
| 12 | Whole body distribution of fatty acid and glucose metabolism: Relationships with insulin sensitivity and ectopic fat topography | 1 |
| 13 | 15 | |
| 14 | 4 | |
| 15 | 26 | |
| 16 | 4 | |
| 17 | 17 | |
| 18 | 103 | |
| 19 | 16 | |
| 20 | The effect of cream on plasma cholesterol. | 2 |
About Markku Taittonen
Markku Taittonen is a scholar working on Anesthesiology and Pain Medicine, Critical Care and Intensive Care Medicine and Physiology, having authored 36 papers that have together received 3.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (12 papers), Anesthesia and Sedative Agents (7 papers) and Treatment of Major Depression (5 papers). The work is most often cited by research in Physiology (3.0k citations), Rehabilitation (737 citations) and Biochemistry (302 citations). Markku Taittonen has collaborated with scholars based in Finland, Italy and Sweden. Frequent co-authors include Pirjo Nuutila, Kirsi A. Virtanen, Tarja Niemi, Janne Orava, Martin E. Lidell, Sven Enerbäck, Jukka Laine, Rickard Westergren, Mikael Heglind and Tapio Viljanen. Their work appears in journals such as New England Journal of Medicine, Cell Metabolism and Diabetes.
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.