Aino Latva‐Rasku

721 total citations
19 papers, 517 citations indexed

About

Aino Latva‐Rasku is a scholar working on Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Aino Latva‐Rasku has authored 19 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Physiology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Aino Latva‐Rasku's work include Metabolism, Diabetes, and Cancer (7 papers), Diet and metabolism studies (6 papers) and Diabetes Treatment and Management (5 papers). Aino Latva‐Rasku is often cited by papers focused on Metabolism, Diabetes, and Cancer (7 papers), Diet and metabolism studies (6 papers) and Diabetes Treatment and Management (5 papers). Aino Latva‐Rasku collaborates with scholars based in Finland, Sweden and Italy. Aino Latva‐Rasku's co-authors include Pirjo Nuutila, Miikka‐Juhani Honka, Jarna C. Hannukainen, Jan Oscarsson, Marco Bucci, Kari K. Kalliokoski, Kirsi A. Virtanen, Patricia Iozzo, L. E. B. Johansson and Anna K. Kirjavainen and has published in prestigious journals such as Journal of the American College of Cardiology, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Aino Latva‐Rasku

18 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aino Latva‐Rasku Finland 8 255 172 161 147 130 19 517
Amy Baumgartner United States 14 312 1.2× 148 0.9× 88 0.5× 132 0.9× 151 1.2× 32 622
Leontine E. H. Bakker Netherlands 14 202 0.8× 378 2.2× 136 0.8× 88 0.6× 93 0.7× 32 636
Valerie L. Adams United Kingdom 10 322 1.3× 155 0.9× 301 1.9× 113 0.8× 103 0.8× 15 678
Thomas Grenier–Larouche Canada 14 126 0.5× 325 1.9× 98 0.6× 181 1.2× 130 1.0× 18 569
Roman Trepp Switzerland 14 285 1.1× 157 0.9× 71 0.4× 89 0.6× 77 0.6× 38 530
Jane Cheeseman United Kingdom 6 123 0.5× 352 2.0× 188 1.2× 93 0.6× 54 0.4× 6 550
Roberto Bizzotto Italy 12 599 2.3× 210 1.2× 85 0.5× 257 1.7× 333 2.6× 24 877
Federica Costantino Italy 9 147 0.6× 176 1.0× 232 1.4× 81 0.6× 61 0.5× 9 424
Christina Jang Australia 13 219 0.9× 250 1.5× 94 0.6× 72 0.5× 41 0.3× 18 553
Tanja Miličić Serbia 10 89 0.3× 136 0.8× 115 0.7× 154 1.0× 65 0.5× 31 480

Countries citing papers authored by Aino Latva‐Rasku

Since Specialization
Citations

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

Fields of papers citing papers by Aino Latva‐Rasku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aino Latva‐Rasku. 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 Aino Latva‐Rasku. The network helps show where Aino Latva‐Rasku may publish in the future.

Co-authorship network of co-authors of Aino Latva‐Rasku

This figure shows the co-authorship network connecting the top 25 collaborators of Aino Latva‐Rasku. A scholar is included among the top collaborators of Aino Latva‐Rasku 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 Aino Latva‐Rasku. Aino Latva‐Rasku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Latva‐Rasku, Aino, Sergey V. Nesterov, Vesa Oikonen, et al.. (2026). Automated long axial field of view PET image processing and kinetic modelling with the TurBO toolbox. European Journal of Nuclear Medicine and Molecular Imaging.
2.
Pak, Kyoungjune, Jouni Tuisku, Henry K. Karlsson, et al.. (2025). Anorexia nervosa is associated with higher brain mu-opioid receptor availability. Molecular Psychiatry. 30(7). 2840–2847. 2 indexed citations
3.
Honka, Miikka‐Juhani, Eleni Rebelos, Aino Latva‐Rasku, et al.. (2025). Hepatic Glucose Uptake During Euglycemic Hyperinsulinemia Associates With Glycemia During Oral Glucose Tolerance Test. Journal of the Endocrine Society. 9(5). bvaf054–bvaf054. 1 indexed citations
4.
5.
Kantonen, Tatu, Vesa Oikonen, Merja Haaparanta‐Solin, et al.. (2023). Lower abdominal adipose tissue cannabinoid type 1 receptor availability in young men with overweight. Obesity. 31(7). 1844–1858. 1 indexed citations
6.
Rebelos, Eleni, Andrea Mari, Miikka‐Juhani Honka, et al.. (2023). Renal Cortical Glucose Uptake Is Decreased in Insulin Resistance and Correlates Inversely With Serum Free-fatty Acids. The Journal of Clinical Endocrinology & Metabolism. 109(4). 1033–1040. 4 indexed citations
7.
Knuuti, Juhani, Jouni Tuisku, Hidehiro Iida, et al.. (2023). Quantitative Perfusion Imaging with Total-Body PET. Journal of Nuclear Medicine. 64(Supplement 2). 11S–19S. 20 indexed citations
8.
Rebelos, Eleni, Aino Latva‐Rasku, Ekaterina Saukko, et al.. (2023). Insulin-stimulated brain glucose uptake correlates with brain metabolites in severe obesity: A combined neuroimaging study. Journal of Cerebral Blood Flow & Metabolism. 44(3). 407–418. 4 indexed citations
9.
Datta, Neeta, Savithri Rangarajan, Yen Nguyen, et al.. (2022). Finnish-specific AKT2 gene variant leads to impaired insulin signalling in myotubes. Journal of Molecular Endocrinology. 70(2). 4 indexed citations
10.
Kantonen, Tatu, Eleni Rebelos, Aino Latva‐Rasku, et al.. (2022). Obesity risk is associated with brain glucose uptake and insulin resistance. European Journal of Endocrinology. 187(6). 917–928. 7 indexed citations
11.
12.
Rebelos, Eleni, Marco Bucci, Tomi Karjalainen, et al.. (2021). Insulin Resistance Is Associated With Enhanced Brain Glucose Uptake During Euglycemic Hyperinsulinemia: A Large-Scale PET Cohort. Diabetes Care. 44(3). 788–794. 45 indexed citations
13.
Klén, Riku, Miikka‐Juhani Honka, Jarna C. Hannukainen, et al.. (2020). Predicting Skeletal Muscle and Whole-Body Insulin Sensitivity Using NMR-Metabolomic Profiling. Journal of the Endocrine Society. 4(4). bvaa026–bvaa026. 5 indexed citations
14.
Vähä‐Ypyä, Henri, Minna Lahesmaa, Sanna Laurila, et al.. (2020). Both sedentary time and physical activity are associated with cardiometabolic health in overweight adults in a 1 month accelerometer measurement. Scientific Reports. 10(1). 34 indexed citations
15.
Oldgren, Jonas, Sanna Laurila, Axel Åkerblom, et al.. (2020). EFFECTS OF 6 WEEKS OF TREATMENT WITH DAPAGLIFLOZIN, A SODIUM-GLUCOSE COTRANSPORTER 2 INHIBITOR, ON MYOCARDIAL FUNCTION AND METABOLISM IN TYPE 2 DIABETES PATIENTS: A RANDOMIZED PLACEBO-CONTROLLED STUDY. Journal of the American College of Cardiology. 75(11). 1610–1610. 2 indexed citations
16.
17.
Åkerblom, Axel, Jonas Oldgren, Aino Latva‐Rasku, et al.. (2019). Effects of DAPAgliflozin on CARDiac substrate uptake, myocardial efficiency, and myocardial contractile work in type 2 diabetes patients—a description of the DAPACARD study. Upsala Journal of Medical Sciences. 124(1). 59–64. 16 indexed citations
18.
Honka, Miikka‐Juhani, Aino Latva‐Rasku, Marco Bucci, et al.. (2018). Insulin-stimulated glucose uptake in skeletal muscle, adipose tissue and liver: a positron emission tomography study. European Journal of Endocrinology. 178(5). 523–531. 103 indexed citations
19.

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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