Otso Arponen

716 total citations
50 papers, 441 citations indexed

About

Otso Arponen is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Otso Arponen has authored 50 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Pulmonary and Respiratory Medicine and 13 papers in Artificial Intelligence. Recurrent topics in Otso Arponen's work include AI in cancer detection (13 papers), MRI in cancer diagnosis (11 papers) and Digital Radiography and Breast Imaging (11 papers). Otso Arponen is often cited by papers focused on AI in cancer detection (13 papers), MRI in cancer diagnosis (11 papers) and Digital Radiography and Breast Imaging (11 papers). Otso Arponen collaborates with scholars based in Finland, Colombia and United Kingdom. Otso Arponen's co-authors include Ritva Vanninen, Irina Rinta‐Kiikka, Said Pertuz, Mikko Taina, Antti Tolonen, Antti Muuronen, Pekka Jäkälä, Marja Hedman, Pirjo Mustonen and Mazen Sudah and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Otso Arponen

44 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Otso Arponen Finland 12 193 80 74 63 61 50 441
Ya‐Ting Jan Taiwan 12 73 0.4× 169 2.1× 14 0.2× 18 0.3× 42 0.7× 22 449
Jiang Hu China 12 106 0.5× 18 0.2× 41 0.6× 13 0.2× 101 1.7× 27 369
Valentina Brancato Italy 16 225 1.2× 59 0.7× 17 0.2× 50 0.8× 135 2.2× 39 566
Christos Tsalikidis Greece 12 110 0.6× 18 0.2× 35 0.5× 45 0.7× 132 2.2× 38 523
Yih‐Jong Chern Taiwan 11 49 0.3× 39 0.5× 25 0.3× 27 0.4× 88 1.4× 45 352
Kwon Joong Na South Korea 13 98 0.5× 37 0.5× 22 0.3× 22 0.3× 267 4.4× 69 627
Maciej Bobowicz Poland 12 46 0.2× 112 1.4× 42 0.6× 37 0.6× 87 1.4× 47 469
Benjamin Hunter United Kingdom 10 125 0.6× 23 0.3× 48 0.6× 87 1.4× 82 1.3× 19 428
Minghao Li China 12 92 0.5× 21 0.3× 11 0.1× 34 0.5× 102 1.7× 40 353
Yu‐Sen Huang Taiwan 15 129 0.7× 22 0.3× 49 0.7× 22 0.3× 156 2.6× 56 603

Countries citing papers authored by Otso Arponen

Since Specialization
Citations

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

Fields of papers citing papers by Otso Arponen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Otso Arponen

This figure shows the co-authorship network connecting the top 25 collaborators of Otso Arponen. A scholar is included among the top collaborators of Otso Arponen 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 Otso Arponen. Otso Arponen 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
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Hickman, Sarah, Nicholas Roy Payne, Otso Arponen, et al.. (2024). Accuracy of an Artificial Intelligence System for Interval Breast Cancer Detection at Screening Mammography. Radiology. 312(2). e232303–e232303. 10 indexed citations
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Ometov, Aleksandr, et al.. (2024). Stress DeTech-tion: Revolutionizing Wellbeing in Future Networks. Trepo - Institutional Repository of Tampere University. 114–117. 1 indexed citations
6.
Pertuz, Said, et al.. (2023). Saliency of breast lesions in breast cancer detection using artificial intelligence. Scientific Reports. 13(1). 20545–20545. 11 indexed citations
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Arponen, Otso, Mervi Könönen, Ritva Vanninen, et al.. (2023). Neoadjuvant chemotherapy induces an elevation of tumour apparent diffusion coefficient values in patients with ovarian cancer. BMC Cancer. 23(1). 299–299. 1 indexed citations
9.
Arponen, Otso, et al.. (2023). Frailty in Late Midlife to Old Age and Its Relationship to Medical Imaging Use and Imaging-related Costs: A Longitudinal Study. Radiology. 309(2). e230283–e230283. 2 indexed citations
10.
Arponen, Otso, et al.. (2023). Hyperpolarised 13C-MRI using 13C-pyruvate in breast cancer: A review. European Journal of Radiology. 167. 111058–111058. 4 indexed citations
11.
Anttila, Maarit, et al.. (2023). Dynamic contrast-enhanced MRI to characterize angiogenesis in primary epithelial ovarian cancer: An exploratory study. European Journal of Radiology. 165. 110925–110925. 4 indexed citations
12.
Jukkola‐Vuorinen, Arja, Leena Tiainen, Timo Liimatainen, et al.. (2023). Breast density and the likelihood of malignant MRI-detected lesions in women diagnosed with breast cancer. European Radiology. 33(11). 8080–8088. 5 indexed citations
13.
Arponen, Otso, Aino Siltari, Miia Artama, et al.. (2023). Statin Use, Cholesterol Level, and Mortality Among Females With Breast Cancer. JAMA Network Open. 6(11). e2343861–e2343861. 15 indexed citations
14.
Tolonen, Antti, et al.. (2021). Methodology, clinical applications, and future directions of body composition analysis using computed tomography (CT) images: A review. European Journal of Radiology. 145. 109943–109943. 85 indexed citations
15.
Anttila, Maarit, Suvi Rautiainen, Otso Arponen, et al.. (2019). Dynamic contrast-enhanced perfusion parameters in ovarian cancer: Good accuracy in identifying high HIF-1α expression. PLoS ONE. 14(8). e0221340–e0221340. 14 indexed citations
16.
Arponen, Otso, Mazen Sudah, Anna Sutela, et al.. (2018). Gadoterate meglumine decreases ADC values of breast lesions depending on the b value combination. Scientific Reports. 8(1). 87–87. 7 indexed citations
17.
Arponen, Otso, Amro Masarwah, Anna Sutela, et al.. (2017). Quantitative Volumetric K-Means Cluster Segmentation of Fibroglandular Tissue and Skin in Breast MRI. Journal of Digital Imaging. 31(4). 425–434. 12 indexed citations
18.
Taina, Mikko, Pirjo Mustonen, Marja Hedman, et al.. (2017). Soluble Urokinase-type Plasminogen Activator Receptor Predicts All-cause 5-Year Mortality in Ischemic Stroke and TIA. In Vivo. 31(3). 381–386. 10 indexed citations
19.
Arponen, Otso, Antti Muuronen, Mikko Taina, et al.. (2015). Acute Phase IL-10 Plasma Concentration Associates with the High Risk Sources of Cardiogenic Stroke. PLoS ONE. 10(4). e0120910–e0120910. 9 indexed citations
20.
Muuronen, Antti, Otso Arponen, Pirjo Mustonen, et al.. (2015). Left Atrial Appendage Morphology in Patients with Suspected Cardiogenic Stroke without Known Atrial Fibrillation. PLoS ONE. 10(3). e0118822–e0118822. 46 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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