Juha Koskenvuo

3.1k total citations
93 papers, 2.0k citations indexed

About

Juha Koskenvuo is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Juha Koskenvuo has authored 93 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Cardiology and Cardiovascular Medicine, 23 papers in Molecular Biology and 19 papers in Surgery. Recurrent topics in Juha Koskenvuo's work include Cardiomyopathy and Myosin Studies (21 papers), Cardiac Imaging and Diagnostics (15 papers) and Cardiovascular Function and Risk Factors (11 papers). Juha Koskenvuo is often cited by papers focused on Cardiomyopathy and Myosin Studies (21 papers), Cardiac Imaging and Diagnostics (15 papers) and Cardiovascular Function and Risk Factors (11 papers). Juha Koskenvuo collaborates with scholars based in Finland, United States and Japan. Juha Koskenvuo's co-authors include Tero‐Pekka Alastalo, Jaakko Hartiala, Jyri Toikka, Markku Saraste, Juhani Knuuti, Oyediran Akinrinade, Pekka Niemi, Hajime Sakuma, Samuel Myllykangas and Antti Saraste and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Juha Koskenvuo

90 papers receiving 1.9k citations

Peers

Juha Koskenvuo
Shengmei Zhou United States
Ronald J. Kanter United States
Jacques Debets Netherlands
H Tomoike Japan
Shengmei Zhou United States
Juha Koskenvuo
Citations per year, relative to Juha Koskenvuo Juha Koskenvuo (= 1×) peers Shengmei Zhou

Countries citing papers authored by Juha Koskenvuo

Since Specialization
Citations

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

Fields of papers citing papers by Juha Koskenvuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juha Koskenvuo

This figure shows the co-authorship network connecting the top 25 collaborators of Juha Koskenvuo. A scholar is included among the top collaborators of Juha Koskenvuo 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 Juha Koskenvuo. Juha Koskenvuo 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.
Vasilescu, Catalina, Tiina Ojala, Tuula Manninen, et al.. (2024). Recessive TMOD1 mutation causes childhood cardiomyopathy. Communications Biology. 7(1). 7–7. 3 indexed citations
2.
Koskinen, Lars‐Owe, et al.. (2024). Phenotypes of carriers of two mutated alleles in major cancer susceptibility genes. Breast Cancer Research and Treatment. 208(3). 589–595. 1 indexed citations
3.
Huusko, Johanna M., Allison Faber, Satu Valo, et al.. (2023). P487: Genetic findings from multi-gene panel for primary ciliary dyskinesia. SHILAP Revista de lepidopterología. 1(1). 100534–100534. 1 indexed citations
4.
Hathaway, Julie, Johanna Tommiska, Johanna M. Huusko, et al.. (2023). Diagnostic yield of genetic testing in a multinational heterogeneous cohort of 2088 DCM patients. Frontiers in Cardiovascular Medicine. 10. 1254272–1254272. 10 indexed citations
5.
Kandolin, Riina, et al.. (2023). DSP c.6310delA p.(Thr2104Glnfs*12) associates with arrhythmogenic cardiomyopathy, increased trabeculation, curly hair, and palmoplantar keratoderma. Frontiers in Cardiovascular Medicine. 10. 1130903–1130903. 2 indexed citations
7.
Izzo, Emanuela, Eija H. Seppälä, Kirsi Alakurtti, et al.. (2021). Next-generation sequencing in childhood-onset epilepsies: Diagnostic yield and impact on neuronal ceroid lipofuscinosis type 2 (CLN2) disease diagnosis. PLoS ONE. 16(9). e0255933–e0255933. 6 indexed citations
8.
Spagnoli, Carlotta, et al.. (2021). Pharmacological Treatment of Severe Breathing Abnormalities in a Case of HNRNPU Epileptic Encephalopathy. Molecular Syndromology. 12(2). 101–105. 3 indexed citations
9.
Irving, Melita, Matti Hero, Liisa M. Pelttari, et al.. (2021). Diagnostic utility of next-generation sequencing-based panel testing in 543 patients with suspected skeletal dysplasia. Orphanet Journal of Rare Diseases. 16(1). 412–412. 9 indexed citations
10.
Aalto‐Setälä, Katriina, et al.. (2020). DSP p.(Thr2104Glnfs*12) variant presents variably with early onset severe arrhythmias and left ventricular cardiomyopathy. BMC Medical Genetics. 21(1). 19–19. 13 indexed citations
11.
Alastalo, Tero‐Pekka, Kati Kämpjärvi, Lucia Guidugli, et al.. (2019). Prevalence and genetic characteristics of RPE65-associated retinal disease. Investigative Ophthalmology & Visual Science. 60(9). 400–400. 3 indexed citations
12.
Kämpjärvi, Kati, Miika Mehine, Johanna Känsäkoski, et al.. (2019). A whole exome sequencing-based panel assay with boosted clinical content generates a high diagnostic yield in patients with inherited eye diseases. Investigative Ophthalmology & Visual Science. 60(9). 421–421. 1 indexed citations
13.
Stark, Christoffer, Pekka Taimen, Miikka Tarkia, et al.. (2012). Therapeutic potential of thymosin β4 in myocardial infarct and heart failure. Annals of the New York Academy of Sciences. 1269(1). 117–124. 5 indexed citations
14.
Malmberg, Markus, Tommi Vähäsilta, Antti Saraste, et al.. (2012). Intracoronary Levosimendan during Ischemia Prevents Myocardial Apoptosis. Frontiers in Physiology. 3. 17–17. 12 indexed citations
15.
Joutsiniemi, Esa, Antti Saraste, Marko Pietilä, et al.. (2011). Resting coronary flow velocity in the functional evaluation of coronary artery stenosis: study on sequential use of computed tomography angiography and transthoracic Doppler echocardiography. European Heart Journal - Cardiovascular Imaging. 13(1). 79–85. 4 indexed citations
16.
Kiviniemi, Tuomas, Antti Saraste, Jyri Toikka, et al.. (2008). Effects of cognac on coronary flow reserve and plasma antioxidant status in healthy young men. Cardiovascular Ultrasound. 6(1). 25–25. 5 indexed citations
17.
Kiviniemi, Tuomas, Antti Saraste, Jyri Toikka, et al.. (2007). A moderate dose of red wine, but not de-alcoholized red wine increases coronary flow reserve. Atherosclerosis. 195(2). e176–e181. 33 indexed citations
18.
Salminen, Paulina, Eeva Sala, Juha Koskenvuo, Jukka Karvonen, & Jari Ovaska. (2007). Reflux Laryngitis: A Feasible Indication for Laparoscopic Antireflux Surgery?. Surgical Laparoscopy Endoscopy & Percutaneous Techniques. 17(2). 73–78. 12 indexed citations
19.
Saraste, Antti, Juha Koskenvuo, Markku Saraste, et al.. (2006). Coronary artery flow velocity profile measured by transthoracic Doppler echocardiography predicts myocardial viability after acute myocardial infarction: Figure 1. Heart. 93(4). 456–457. 13 indexed citations
20.
Koskenvuo, Juha, Hajime Sakuma, Pekka Niemi, et al.. (2001). Global myocardial blood flow and global flow reserve measurements by MRI and PET are comparable. Journal of Magnetic Resonance Imaging. 13(3). 361–366. 34 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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