Mika Teräs

5.9k total citations
125 papers, 4.4k citations indexed

About

Mika Teräs is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mika Teräs has authored 125 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Biomedical Engineering and 22 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mika Teräs's work include Medical Imaging Techniques and Applications (76 papers), Advanced MRI Techniques and Applications (50 papers) and Cardiac Imaging and Diagnostics (29 papers). Mika Teräs is often cited by papers focused on Medical Imaging Techniques and Applications (76 papers), Advanced MRI Techniques and Applications (50 papers) and Cardiac Imaging and Diagnostics (29 papers). Mika Teräs collaborates with scholars based in Finland, United Kingdom and Italy. Mika Teräs's co-authors include Juhani Knuuti, Ulla Ruotsalainen, Hannu Sipilä, Pirjo Nuutila, Vesa Oikonen, Kjell Någren, Merja Haaparanta‐Solin, Sirkku Leskinen-Kallio, U Wegelius and Olof Solin and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Mika Teräs

121 papers receiving 4.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mika Teräs Finland 37 2.1k 1.1k 800 560 488 125 4.4k
Hannu Sipilä Finland 27 1.1k 0.5× 559 0.5× 364 0.5× 297 0.5× 420 0.9× 67 3.0k
P Bloomfield United Kingdom 41 2.1k 1.0× 1.9k 1.7× 390 0.5× 1.4k 2.5× 542 1.1× 118 6.4k
Michael Schocke Austria 51 1.9k 0.9× 798 0.7× 220 0.3× 741 1.3× 379 0.8× 174 6.7k
Joseph A. Fisher Canada 46 3.1k 1.5× 1.2k 1.1× 262 0.3× 461 0.8× 419 0.9× 225 7.1k
Ronald Borra Netherlands 40 1.5k 0.7× 780 0.7× 517 0.6× 671 1.2× 990 2.0× 124 4.8k
G. Blomqvist Sweden 38 1.5k 0.7× 1.0k 0.9× 311 0.4× 511 0.9× 756 1.5× 111 4.7k
M. E. Phelps United States 39 4.7k 2.2× 1.0k 0.9× 437 0.5× 455 0.8× 431 0.9× 78 7.5k
Manfred Kaps Germany 49 1.1k 0.5× 1.8k 1.6× 621 0.8× 758 1.4× 611 1.3× 270 8.6k
Ignasi Carrió Spain 36 1.8k 0.8× 1.4k 1.3× 289 0.4× 541 1.0× 226 0.5× 167 4.0k
Edwin M. Nemoto United States 43 879 0.4× 485 0.4× 472 0.6× 617 1.1× 431 0.9× 204 5.2k

Countries citing papers authored by Mika Teräs

Since Specialization
Citations

This map shows the geographic impact of Mika Teräs'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 Mika Teräs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mika Teräs more than expected).

Fields of papers citing papers by Mika Teräs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mika Teräs. 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 Mika Teräs. The network helps show where Mika Teräs may publish in the future.

Co-authorship network of co-authors of Mika Teräs

This figure shows the co-authorship network connecting the top 25 collaborators of Mika Teräs. A scholar is included among the top collaborators of Mika Teräs 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 Mika Teräs. Mika Teräs 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
1.
2.
Klén, Riku, Jarmo Teuho, Tommi Noponen, et al.. (2020). Estimation of optimal number of gates in dual gated 18F-FDG cardiac PET. Scientific Reports. 10(1). 19362–19362. 3 indexed citations
3.
Teuho, Jarmo, Heidi Liljenbäck, Jenni Virta, et al.. (2019). NEMA NU 4-2008 and in vivo imaging performance of RAYCAN trans-PET/CT X5 small animal imaging system. Physics in Medicine and Biology. 64(11). 115014–115014. 10 indexed citations
4.
Salminen, Paulina, Juha Grönroos, Irina Rinta‐Kiikka, et al.. (2017). LOW-DOSE CT PROTOCOL OPTIMIZATION FOR THE ASSESSMENT OF ACUTE APPENDICITIS: THE OPTICAP PHANTOM STUDY. Radiation Protection Dosimetry. 178(1). 20–28. 6 indexed citations
5.
Teuho, Jarmo, et al.. (2015). Tissue probability-based AC for neurological PET/MR using SPM8. EJNMMI Physics. 2(S1). A26–A26. 2 indexed citations
6.
Teuho, Jarmo, et al.. (2015). A novel respiratory gating method for oncologic positron emission tomography based on bioimpedance approach. Annals of Nuclear Medicine. 29(4). 351–358. 6 indexed citations
7.
Teuho, Jarmo, Virva Saunavaara, & Mika Teräs. (2015). Long-term stability of the MR system of the Philips Ingenuity TF. EJNMMI Physics. 2(S1). A22–A22. 2 indexed citations
8.
Kajander, Sami, Esa Joutsiniemi, Markku Saraste, et al.. (2010). Cardiac Positron Emission Tomography/Computed Tomography Imaging Accurately Detects Anatomically and Functionally Significant Coronary Artery Disease. Circulation. 122(6). 603–613. 251 indexed citations
9.
Teräs, Mika, Tommi Noponen, Mikko Pietilä, et al.. (2009). Dual-gated cardiac PET–Clinical feasibility study. European Journal of Nuclear Medicine and Molecular Imaging. 37(3). 505–516. 50 indexed citations
10.
Kajander, Sami, Heikki Ukkonen, Hannu Sipilä, Mika Teräs, & Juhani Knuuti. (2008). Low radiation dose imaging of myocardial perfusion and coronary angiography with a hybrid PET/CT scanner. Clinical Physiology and Functional Imaging. 29(1). 81–88. 36 indexed citations
11.
Kalliokoski, Kari K., Jens Bojsen‐Møller, Marko Seppänen, et al.. (2007). Contraction‐induced [18F]‐fluoro‐deoxy‐glucose uptake can be measured in human calf muscle using high‐resolution PET. Clinical Physiology and Functional Imaging. 27(4). 239–241. 19 indexed citations
12.
Merisaari, Harri, et al.. (2007). Evaluation of partial volume effect correction methods for brain positron emission tomography: Quantification and reproducibility. Journal of Medical Physics. 32(3). 108–108. 22 indexed citations
13.
Tenovuo, Olli, Victor Vorobyev, Jaana Hiltunen, et al.. (2006). Functional brain imaging, clinical and neurophysiological outcome of visual rehabilitation in a chronic stroke patient. Restorative Neurology and Neuroscience. 24(2). 123–132. 21 indexed citations
14.
Pawitan, Yudi, Valentino Bettinardi, & Mika Teräs. (2005). Non-Gaussian smoothing of low-count transmission scans for PET whole-body studies. IEEE Transactions on Medical Imaging. 24(1). 122–129. 1 indexed citations
15.
Vesalainen, Risto, Mikko Pietilä, Kari U. O. Tahvanainen, et al.. (1999). Cardiac positron emission tomography imaging with [11c]hydroxyephedrine, a specific tracer for sympathetic nerve endings, and its functional correlates in congestive heart failure. The American Journal of Cardiology. 84(5). 568–574. 42 indexed citations
16.
Lapela, Maria, Sirkku Leskinen-Kallio, Matti Varpula, et al.. (1995). Metabolic imaging of ovarian tumors with carbon-11-methionine: a PET study.. PubMed. 36(12). 2196–200. 24 indexed citations
17.
Lindholm, Paula, S. Leskinen, Kjell Någren, et al.. (1995). Carbon-11-methionine PET imaging of malignant melanoma.. PubMed. 36(10). 1806–10. 26 indexed citations
18.
Bettinardi, Valentino, et al.. (1994). A hybrid method of attenuation correction for positron emission tomography brain studies. European Journal of Nuclear Medicine and Molecular Imaging. 21(12). 1279–1284. 10 indexed citations
19.
Minn, Heikki, Paula Lindholm, Pirjo Nuutila, et al.. (1994). In vivo effects of insulin on tumor and skeletal muscle glucose metabolism in patients with lymphoma. Cancer. 73(5). 1490–1498. 37 indexed citations
20.
Nuutila, Pirjo, Veikko A Koivisto, Juhani Knuuti, et al.. (1992). Glucose-free fatty acid cycle operates in human heart and skeletal muscle in vivo.. Journal of Clinical Investigation. 89(6). 1767–1774. 259 indexed citations

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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