Mia Ståhle

651 total citations
25 papers, 495 citations indexed

About

Mia Ståhle is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Mia Ståhle has authored 25 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 6 papers in Oncology. Recurrent topics in Mia Ståhle's work include Peptidase Inhibition and Analysis (6 papers), Diabetes Treatment and Management (5 papers) and Neuropeptides and Animal Physiology (4 papers). Mia Ståhle is often cited by papers focused on Peptidase Inhibition and Analysis (6 papers), Diabetes Treatment and Management (5 papers) and Neuropeptides and Animal Physiology (4 papers). Mia Ståhle collaborates with scholars based in Finland, United States and Netherlands. Mia Ståhle's co-authors include Matti Poutanen, Antti Perheentupa, Kaisa Huhtinen, David J. Handelsman, Reena Desai, Anu Salminen, Anne Roivainen, Antti Saraste, Juhani Knuuti and Heidi Liljenbäck and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and European Heart Journal.

In The Last Decade

Mia Ståhle

24 papers receiving 490 citations

Peers

Mia Ståhle
David Kagan United States
Mia Ståhle
Citations per year, relative to Mia Ståhle Mia Ståhle (= 1×) peers David Kagan

Countries citing papers authored by Mia Ståhle

Since Specialization
Citations

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

Fields of papers citing papers by Mia Ståhle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mia Ståhle

This figure shows the co-authorship network connecting the top 25 collaborators of Mia Ståhle. A scholar is included among the top collaborators of Mia Ståhle 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 Mia Ståhle. Mia Ståhle 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.
Liljenbäck, Heidi, et al.. (2026). Folate receptor β-targeted Positron emission tomography imaging of activated macrophages in experimental myocardial infarction. Journal of Nuclear Cardiology. 102653–102653.
2.
Ståhle, Mia, Cristina Popescu, Christoph Rischpler, et al.. (2025). New Promising Targets for Imaging in Cardiovascular Diseases. Seminars in Nuclear Medicine. 55(5). 812–828. 2 indexed citations
3.
Liljenbäck, Heidi, Mia Ståhle, Jenni Virta, et al.. (2024). Evaluation of 18F FOL a PET tracer targeting folate receptor beta in a rat model of myocardial infarction. European Heart Journal. 45(Supplement_1). 1 indexed citations
4.
Saraste, Antti, Mia Ståhle, Anne Roivainen, & Juhani Knuuti. (2024). Molecular Imaging of Heart Failure: An Update and Future Trends. Seminars in Nuclear Medicine. 54(5). 674–685. 2 indexed citations
5.
Zheng, Kang H., Yannick Kaiser, Nick S. Nurmohamed, et al.. (2024). First-in-human study of 99mTc-labeled fucoidan, a SPECT tracer targeting P-selectin. EJNMMI Research. 14(1). 112–112. 2 indexed citations
6.
Kaiser, Yannick, Mia Ståhle, Nick S. Nurmohamed, et al.. (2023). Atorvastatin lowers 68Ga-DOTATATE uptake in coronary arteries, bone marrow and spleen in individuals with type 2 diabetes. Diabetologia. 66(11). 2164–2169. 8 indexed citations
7.
Ståhle, Mia, Sanna Hellberg, Jenni Virta, et al.. (2021). Evaluation of glucagon-like peptide-1 receptor expression in nondiabetic and diabetic atherosclerotic mice using PET tracer Ga-68-NODAGA-exendin-4. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 1 indexed citations
8.
Ståhle, Mia, Sanna Hellberg, Jenni Virta, et al.. (2021). Evaluation of glucagon-like peptide-1 receptor expression in nondiabetic and diabetic atherosclerotic mice using PET tracer 68Ga-NODAGA-exendin-4. American Journal of Physiology-Endocrinology and Metabolism. 320(5). E989–E998. 8 indexed citations
9.
Ståhle, Mia, Jenni Virta, Xiang‐Guo Li, et al.. (2021). Evaluation of [68Ga]Ga-NODAGA-RGD for PET Imaging of Rat Autoimmune Myocarditis. Frontiers in Medicine. 8. 783596–783596. 5 indexed citations
10.
Ståhle, Mia, Johanna M. U. Silvola, Sanna Hellberg, et al.. (2020). Therapeutic Antibody Against Phosphorylcholine Preserves Coronary Function and Attenuates Vascular 18F-FDG Uptake in Atherosclerotic Mice. JACC Basic to Translational Science. 5(4). 360–373. 10 indexed citations
11.
Ståhle, Mia, Jenni Virta, Xiang‐Guo Li, et al.. (2020). Folate Receptor β–Targeted PET Imaging of Macrophages in Autoimmune Myocarditis. Journal of Nuclear Medicine. 61(11). 1643–1649. 39 indexed citations
12.
Virta, Jenni, Sanna Hellberg, Heidi Liljenbäck, et al.. (2020). Effects of dipeptidyl peptidase 4 inhibition on inflammation in atherosclerosis: A 18F-fluorodeoxyglucose study of a mouse model of atherosclerosis and type 2 diabetes. Atherosclerosis. 305. 64–72. 5 indexed citations
13.
Koffert, Jukka, Mia Ståhle, Henry K. Karlsson, et al.. (2018). Morbid obesity and type 2 diabetes alter intestinal fatty acid uptake and blood flow. Diabetes Obesity and Metabolism. 20(6). 1384–1390. 13 indexed citations
14.
Ståhle, Mia, Ville Kytö, Heidi Liljenbäck, et al.. (2018). Glucagon-like peptide-1 receptor expression after myocardial infarction: Imaging study using 68Ga-NODAGA-exendin-4 positron emission tomography. Journal of Nuclear Cardiology. 27(6). 2386–2397. 10 indexed citations
15.
Hellberg, Sanna, Suvi Sippola, Heidi Liljenbäck, et al.. (2017). Effects of atorvastatin and diet interventions on atherosclerotic plaque inflammation and [18F]FDG uptake in Ldlr−/−Apob mice. Atherosclerosis. 263. 369–376. 17 indexed citations
16.
Virtanen, Helena E., Johanna M. U. Silvola, Anu Autio, et al.. (2017). Comparison of 68Ga-DOTA-Siglec-9 and 18F-Fluorodeoxyribose-Siglec-9: Inflammation Imaging and Radiation Dosimetry. Contrast Media & Molecular Imaging. 2017. 1–10. 4 indexed citations
17.
Silvola, Johanna M. U., Helena E. Virtanen, Sanna Hellberg, et al.. (2016). Leukocyte trafficking-associated vascular adhesion protein 1 is expressed and functionally active in atherosclerotic plaques. Scientific Reports. 6(1). 35089–35089. 31 indexed citations
18.
Rinne, Petteri, Johanna M. U. Silvola, Sanna Hellberg, et al.. (2014). Pharmacological Activation of the Melanocortin System Limits Plaque Inflammation and Ameliorates Vascular Dysfunction in Atherosclerotic Mice. Arteriosclerosis Thrombosis and Vascular Biology. 34(7). 1346–1354. 23 indexed citations
19.
Huhtinen, Kaisa, Reena Desai, Mia Ståhle, et al.. (2012). Endometrial and Endometriotic Concentrations of Estrone and Estradiol Are Determined by Local Metabolism Rather than Circulating Levels. The Journal of Clinical Endocrinology & Metabolism. 97(11). 4228–4235. 155 indexed citations
20.
Huhtinen, Kaisa, Mia Ståhle, Antti Perheentupa, & Matti Poutanen. (2011). Estrogen biosynthesis and signaling in endometriosis. Molecular and Cellular Endocrinology. 358(2). 146–154. 89 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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