Ioannis Tsougos

2.0k total citations
97 papers, 1.4k citations indexed

About

Ioannis Tsougos is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Genetics. According to data from OpenAlex, Ioannis Tsougos has authored 97 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Biomedical Engineering and 12 papers in Genetics. Recurrent topics in Ioannis Tsougos's work include Advanced MRI Techniques and Applications (24 papers), Advanced Neuroimaging Techniques and Applications (16 papers) and MRI in cancer diagnosis (14 papers). Ioannis Tsougos is often cited by papers focused on Advanced MRI Techniques and Applications (24 papers), Advanced Neuroimaging Techniques and Applications (16 papers) and MRI in cancer diagnosis (14 papers). Ioannis Tsougos collaborates with scholars based in Greece, United Kingdom and United States. Ioannis Tsougos's co-authors include Ioannis Fezoulidis, Patricia Svolos, Kyriaki Theodorou, Evanthia Kousi, Panagiotis Georgoulias, C. Kappas, Konstantinos Fountas, Varvara Valotassiou, Eftychia Kapsalaki and Katerina Vassiou and has published in prestigious journals such as ACS Applied Materials & Interfaces, Psychopharmacology and Human Brain Mapping.

In The Last Decade

Ioannis Tsougos

92 papers receiving 1.4k citations

Peers

Ioannis Tsougos
Ioannis Tsougos
Citations per year, relative to Ioannis Tsougos Ioannis Tsougos (= 1×) peers Josep M. Martí‐Climent

Countries citing papers authored by Ioannis Tsougos

Since Specialization
Citations

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

Fields of papers citing papers by Ioannis Tsougos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ioannis Tsougos

This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis Tsougos. A scholar is included among the top collaborators of Ioannis Tsougos 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 Ioannis Tsougos. Ioannis Tsougos 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.
Karagiannis, Georgios, Ioannis Grivas, Anastasia Tsingotjidou, et al.. (2025). Diagnostic System for Early In Situ Melanoma Detection Using Acoustic Microscopy and Infrared Spectroscopic Mapping Imaging. Cancers. 17(15). 2599–2599.
2.
Maria, Lucio De, Hwan-ho Cho, Karoline Skogen, et al.. (2024). The Current Diagnostic Performance of MRI-Based Radiomics for Glioma Grading: A Meta-Analysis. Journal of Integrative Neuroscience. 23(5). 100–100. 4 indexed citations
4.
Σπανός, Κωνσταντίνος, Athanasios Giannoukas, George Kouvelos, Ioannis Tsougos, & Anna Mavroforou. (2022). Artificial intelligence application in vascular diseases. Journal of Vascular Surgery. 76(3). 615–619. 2 indexed citations
5.
Georgoulias, Panagiotis, George Angelidis, Varvara Valotassiou, & Ioannis Tsougos. (2021). COVID-19 crisis: will online learning have negative consequences to our students?. Cardiology in the Young. 31(3). 511–511. 4 indexed citations
6.
Tsougos, Ioannis, et al.. (2018). Diagnostic performance of quantitative diffusion tensor imaging for the differentiation of breast lesions at 3 T MRI. Clinical Imaging. 53. 25–31. 10 indexed citations
7.
Fanariotis, Michael, et al.. (2018). Contrast-enhanced and unenhanced diffusion-weighted imaging of the breast at 3 T. Clinical Radiology. 73(11). 928–935. 8 indexed citations
8.
Angelidis, George, et al.. (2017). Myocardial strain may predict exercise tolerance in patients with reduced and mid-range ejection fraction. Hellenic Journal of Cardiology. 59(6). 331–335. 11 indexed citations
9.
Svolos, Patricia, Evangelia Tsolaki, Eftychia Z. Kapsalaki, et al.. (2013). Investigating brain tumor differentiation with diffusion and perfusion metrics at 3T MRI using pattern recognition techniques. Magnetic Resonance Imaging. 31(9). 1567–1577. 68 indexed citations
10.
Tsolaki, Evangelia, Patricia Svolos, Evanthia Kousi, et al.. (2013). Automated differentiation of glioblastomas from intracranial metastases using 3T MR spectroscopic and perfusion data. International Journal of Computer Assisted Radiology and Surgery. 8(5). 751–761. 42 indexed citations
11.
Valotassiou, Varvara, John Papatriantafyllou, Chara Tzavara, et al.. (2012). Perfusion SPECT studies with mapping of Brodmann areas in differentiating Alzheimer’s disease from frontotemporal degeneration syndromes. Nuclear Medicine Communications. 33(12). 1267–1276. 13 indexed citations
12.
Sulieman, Abdelmoneim, et al.. (2011). Radiation doses to paediatric patients and comforters undergoing chest X rays. Radiation Protection Dosimetry. 147(1-2). 171–175. 18 indexed citations
13.
Tsougos, Ioannis, et al.. (2011). Strengths and Weaknesses of 1.5T and 3T MRS Data in Brain Glioma Classification. IEEE Transactions on Information Technology in Biomedicine. 15(4). 647–654. 12 indexed citations
14.
Kapsalaki, Eftychia Z., Patricia Svolos, Ioannis Tsougos, et al.. (2011). Quantification of Normal CSF Flow Through the Aqueduct Using PC-Cine MRI at 3T. Acta neurochirurgica. Supplementum. 113. 39–42. 14 indexed citations
15.
Svolos, Patricia, et al.. (2011). On the use of published radiobiological parameters and the evaluation of NTCP models regarding lung pneumonitis in clinical breast radiotherapy. Australasian Physical & Engineering Sciences in Medicine. 34(1). 69–81. 7 indexed citations
16.
Valotassiou, Varvara, et al.. (2010). Myocardial Perfusion SPECT Imaging in Patients after Percutaneous Coronary Intervention. Current Cardiology Reviews. 6(2). 98–103. 8 indexed citations
17.
Georgoulias, Panagiotis, et al.. (2008). Long-term prognostic value of heart-rate recovery after treadmill testing in patients with diabetes mellitus. International Journal of Cardiology. 134(1). 67–74. 13 indexed citations
18.
Tsougos, Ioannis, Per Nilsson, Elisabeth Kjellén, et al.. (2007). NTCP modelling and pulmonary function tests evaluation for the prediction of radiation induced pneumonitis in non-small-cell lung cancer radiotherapy. Physics in Medicine and Biology. 52(4). 1055–1073. 33 indexed citations
19.
Σάτρα, Μαρία, et al.. (2006). Correlation between radiation-induced telomerase activity and human telomerase reverse transcriptase mRNA expression in HeLa cells. International Journal of Radiation Biology. 82(6). 401–409. 13 indexed citations
20.
Tsougos, Ioannis, Panayiotis Mavroidis, Kyriaki Theodorou, et al.. (2005). Evaluation of dose–response models and parameters predicting radiation induced pneumonitis using clinical data from breast cancer radiotherapy. Physics in Medicine and Biology. 50(15). 3535–3554. 19 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026