Jukka Kemppainen

4.8k total citations
115 papers, 3.6k citations indexed

About

Jukka Kemppainen is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Complementary and alternative medicine. According to data from OpenAlex, Jukka Kemppainen has authored 115 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiology, Nuclear Medicine and Imaging, 33 papers in Cardiology and Cardiovascular Medicine and 26 papers in Complementary and alternative medicine. Recurrent topics in Jukka Kemppainen's work include Cardiovascular and exercise physiology (26 papers), Cardiovascular Function and Risk Factors (16 papers) and Prostate Cancer Treatment and Research (15 papers). Jukka Kemppainen is often cited by papers focused on Cardiovascular and exercise physiology (26 papers), Cardiovascular Function and Risk Factors (16 papers) and Prostate Cancer Treatment and Research (15 papers). Jukka Kemppainen collaborates with scholars based in Finland, United States and Sweden. Jukka Kemppainen's co-authors include Juhani Knuuti, Pirjo Nuutila, Kari K. Kalliokoski, Vesa Oikonen, Marko Seppänen, Ilkka Heinonen, Toshihiko Fujimoto, Heikki Minn, Tapio Viljanen and Ivan Jambor and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Jukka Kemppainen

113 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jukka Kemppainen Finland	37	1.0k	913	736	652	633	115	3.6k
Peter Rasmussen Denmark	34	514 0.5×	1.4k 1.6×	750 1.0×	632 1.0×	306 0.5×	100	3.4k
Mika Teräs Finland	37	2.1k 2.1×	1.1k 1.2×	488 0.7×	300 0.5×	426 0.7×	125	4.4k
Georges Lefthériotis France	31	479 0.5×	1.2k 1.3×	764 1.0×	161 0.2×	458 0.7×	158	3.8k
H. Fred Downey United States	30	491 0.5×	1.2k 1.3×	595 0.8×	202 0.3×	403 0.6×	155	3.3k
Luke J. Haseler Australia	32	659 0.7×	1.0k 1.1×	422 0.6×	1.4k 2.1×	470 0.7×	91	3.3k
Göran Rådegran Sweden	35	200 0.2×	2.7k 3.0×	817 1.1×	1.9k 2.9×	1.5k 2.4×	157	5.1k
Yasuharu Matsumoto Japan	27	674 0.7×	1.4k 1.6×	502 0.7×	57 0.1×	497 0.8×	92	2.9k
Egbert Nitzsche Germany	35	1.8k 1.8×	738 0.8×	246 0.3×	173 0.3×	964 1.5×	93	4.3k
Gianmario Sambuceti Italy	44	2.7k 2.7×	2.1k 2.3×	665 0.9×	77 0.1×	710 1.1×	249	6.1k
Helmut Habazettl Germany	32	227 0.2×	1.1k 1.2×	363 0.5×	307 0.5×	786 1.2×	133	3.0k

Countries citing papers authored by Jukka Kemppainen

Since Specialization

Citations

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

Fields of papers citing papers by Jukka Kemppainen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jukka Kemppainen

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

All Works

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20 of 20 papers shown

Malaspina, Simona, Marko Seppänen, Ivan Jambor, et al.. (2025). Prospective comparison of 18F-PSMA-1007 PET/CT and MRI with histopathology as the reference standard for intraprostatic tumour detection and T-staging of high-risk prostate cancer. European Journal of Nuclear Medicine and Molecular Imaging. 52(10). 3709–3719. 2 indexed citations

Rainio, Oona, et al.. (2024). Comparison of thresholds for a convolutional neural network classifying medical images. International Journal of Data Science and Analytics. 20(3). 2093–2099. 3 indexed citations

Rainio, Oona, et al.. (2024). One-click annotation to improve segmentation by a convolutional neural network for PET images of head and neck cancer patients. Network Modeling Analysis in Health Informatics and Bioinformatics. 13(1). 1 indexed citations

Rainio, Oona, et al.. (2023). Classification of head and neck cancer from PET images using convolutional neural networks. Scientific Reports. 13(1). 10528–10528. 14 indexed citations

Rainio, Oona, Otto Ettala, Marko Seppänen, et al.. (2023). New method of using a convolutional neural network for 2D intraprostatic tumor segmentation from PET images. Research on Biomedical Engineering. 39(4). 905–913. 6 indexed citations

Kemppainen, Jukka, Aki Kangasmäki, Simona Malaspina, et al.. (2022). Single Center Experience with a 4-Week 177Lu-PSMA-617 Treatment Interval in Patients with Metastatic Castration-Resistant Prostate Cancer. Cancers. 14(24). 6155–6155. 6 indexed citations

Heinonen, Ilkka, David A. Low, Chunlei Han, et al.. (2020). Changes in quadriceps femoris muscle perfusion following different degrees of cold-water immersion. Journal of Applied Physiology. 128(5). 1392–1401. 20 indexed citations

Kudomi, Nobuyuki, Kari K. Kalliokoski, Vesa Oikonen, et al.. (2019). Myocardial Blood Flow and Metabolic Rate of Oxygen Measurement in the Right and Left Ventricles at Rest and During Exercise Using 15O-Labeled Compounds and PET. Frontiers in Physiology. 10. 741–741. 8 indexed citations

Färkkilä, Anniina, Tuulia Vallius, Olli Carpén, et al.. (2018). Mathematical Modeling Predicts Response to Chemotherapy and Drug Combinations in Ovarian Cancer. Cancer Research. 78(14). 4036–4044. 26 indexed citations

10.

Hynninen, Johanna, Tuulia Vallius, Jukka Kemppainen, et al.. (2018). Clinical Value of 18F-fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Response Evaluation after Primary Treatment of Advanced Epithelial Ovarian Cancer. Clinical Oncology. 30(8). 507–514. 6 indexed citations

11.

Saraste, Antti, Jukka Kemppainen, Jeroen J. Bax, et al.. (2015). 18F-FDG positron emission tomography/computed tomography in infective endocarditis. Journal of Nuclear Cardiology. 24(1). 195–206. 52 indexed citations

12.

Kiviniemi, Aida, Maria Gardberg, Janek Frantzén, et al.. (2015). Somatostatin receptor subtype 2 in high-grade gliomas: PET/CT with 68Ga-DOTA-peptides, correlation to prognostic markers, and implications for targeted radiotherapy. EJNMMI Research. 5(1). 25–25. 21 indexed citations

13.

Heinonen, Ilkka, Chunlei Han, Jukka Kemppainen, et al.. (2012). Pulmonary blood flow and its distribution in highly trained endurance athletes and healthy control subjects. Journal of Applied Physiology. 114(3). 329–334. 9 indexed citations

14.

Heinonen, Ilkka, Sergey V. Nesterov, Jukka Kemppainen, et al.. (2012). Increasing Exercise Intensity Reduces Heterogeneity of Glucose Uptake in Human Skeletal Muscles. PLoS ONE. 7(12). e52191–e52191. 39 indexed citations

15.

Jambor, Ivan, Ronald Borra, Jukka Kemppainen, et al.. (2010). Functional Imaging of Localized Prostate Cancer Aggressiveness Using ¹¹C-Acetate PET/CT and ¹H-MR Spectroscopy. Journal of Nuclear Medicine. 51(11). 1676–1683. 43 indexed citations

16.

Laaksonen, Marko S., Glenn Björklund, Ilkka Heinonen, et al.. (2010). Perfusion heterogeneity does not explain excess muscle oxygen uptake during variable intensity exercise. Clinical Physiology and Functional Imaging. 30(4). 241–249. 5 indexed citations

17.

Heinonen, Ilkka, Jukka Kemppainen, Kimmo Kaskinoro, et al.. (2010). Regulation of human skeletal muscle perfusion and its heterogeneity during exercise in moderate hypoxia. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 299(1). R72–R79. 53 indexed citations

18.

Karmi, Anna, Patricia Iozzo, Antti Viljanen, et al.. (2010). Increased Brain Fatty Acid Uptake in Metabolic Syndrome. Diabetes. 59(9). 2171–2177. 168 indexed citations

19.

Honka, Miikka‐Juhani, Patricia Iozzo, Kirsi A. Virtanen, et al.. (2009). The Pro12Ala polymorphism of the PPARγ2 gene is associated with hepatic glucose uptake during hyperinsulinemia in subjects with type 2 diabetes mellitus. Metabolism. 58(4). 541–546. 9 indexed citations

20.

Kemppainen, Jukka, Sargo Aalto, Toshihiko Fujimoto, et al.. (2005). High intensity exercise decreases global brain glucose uptake in humans. The Journal of Physiology. 568(1). 323–332. 145 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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