Ismail Kabakus

1.1k total citations
45 papers, 678 citations indexed

About

Ismail Kabakus is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Ismail Kabakus has authored 45 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Pulmonary and Respiratory Medicine and 17 papers in Biomedical Engineering. Recurrent topics in Ismail Kabakus's work include Advanced X-ray and CT Imaging (16 papers), Cardiac Imaging and Diagnostics (15 papers) and Radiation Dose and Imaging (13 papers). Ismail Kabakus is often cited by papers focused on Advanced X-ray and CT Imaging (16 papers), Cardiac Imaging and Diagnostics (15 papers) and Radiation Dose and Imaging (13 papers). Ismail Kabakus collaborates with scholars based in United States, United Kingdom and Germany. Ismail Kabakus's co-authors include Bradford J. Wood, Peter A. Pinto, Barış Türkbey, Matthew D. Greer, Peter L. Choyke, Maria J. Merino, Samuel Borofsky, Joanna H. Shih, Tristan Barrett and Yan Mee Law and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and American Journal of Roentgenology.

In The Last Decade

Ismail Kabakus

43 papers receiving 672 citations

Peers

Ismail Kabakus
Sylvain Bodard France
Enming Cui China
Masatomo Kaneko Japan
Flavie Bratan France
Ambereen Yousuf United States
Samuel Borofsky United States
Felix G. Gassert Germany
Milan Pantelic United States
Yan Mee Law Singapore
Cleo K. Maehara United States
Sylvain Bodard France
Ismail Kabakus
Citations per year, relative to Ismail Kabakus Ismail Kabakus (= 1×) peers Sylvain Bodard

Countries citing papers authored by Ismail Kabakus

Since Specialization
Citations

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

Fields of papers citing papers by Ismail Kabakus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ismail Kabakus

This figure shows the co-authorship network connecting the top 25 collaborators of Ismail Kabakus. A scholar is included among the top collaborators of Ismail Kabakus 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 Ismail Kabakus. Ismail Kabakus 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.
Vecsey-Nagy, Milán, U. Joseph Schoepf, Chiara Gnasso, et al.. (2025). Coronary Plaque Quantification with Ultrahigh-Spatial-Resolution Photon-counting Detector CT: Intraindividual Comparison with Energy-integrating Detector CT. Radiology. 314(3). e241479–e241479. 12 indexed citations
2.
Varga‐Szemes, Ákos, U. Joseph Schoepf, Dmitrij Kravchenko, et al.. (2025). Semiquantitative metrics of coronary artery disease burden: Intra-individual comparison between ultrahigh-resolution photon-counting detector CT and energy-integrating detector CT. Journal of cardiovascular computed tomography. 19(4). 474–482. 1 indexed citations
3.
Burt, Jeremy R., et al.. (2025). Non-small cell lung cancer in ever-smokers vs never-smokers. BMC Medicine. 23(1). 3–3. 2 indexed citations
4.
Baruah, Dhiraj, et al.. (2024). ChatGPT vs Gemini: Comparative Accuracy and Efficiency in CAD-RADS Score Assignment from Radiology Reports. Journal of Imaging Informatics in Medicine. 38(4). 2303–2311. 9 indexed citations
5.
Schoepf, U. Joseph, Chiara Gnasso, Emese Zsarnóczay, et al.. (2024). Intraindividual Comparison of Ultrahigh-Spatial-Resolution Photon-Counting Detector CT and Energy-Integrating Detector CT for Coronary Stenosis Measurement. Circulation Cardiovascular Imaging. 17(10). e017112–e017112. 27 indexed citations
6.
Fink, Nicola, Tilman Emrich, U. Joseph Schoepf, et al.. (2024). Improved Detection of Small and Low-Density Plaques in Virtual Noncontrast Imaging–based Calcium Scoring at Photon-Counting Detector CT. Radiology Cardiothoracic Imaging. 6(4). e230328–e230328. 3 indexed citations
7.
Knight, Heather, Jim O’Doherty, Dhiraj Baruah, et al.. (2024). Enhancing diagnostic precision for acute chest syndrome in sickle cell disease: insights from dual-energy CT lung perfusion mapping. Emergency Radiology. 31(1). 73–82. 2 indexed citations
8.
Stoddard, Greg, Peter Anderson, Anna P. Newman, et al.. (2024). Prognostic value of coronary artery calcium scoring in patients with non-small cell lung cancer using initial staging computed tomography. BMC Medical Imaging. 24(1). 350–350. 1 indexed citations
9.
Schoepf, U. Joseph, Saeed Elojeimy, Jim O’Doherty, et al.. (2023). A deep convolutional neural network ensemble for composite identification of pulmonary nodules and incidental findings on routine PET/CT. Clinical Radiology. 78(5). e368–e376. 3 indexed citations
10.
11.
Kocher, Madison, Joseph Stephenson, Dhiraj Baruah, et al.. (2022). Tumor burden of lung metastases at initial staging in breast cancer patients detected by artificial intelligence as a prognostic tool for precision medicine. Heliyon. 8(2). e08962–e08962. 7 indexed citations
12.
Baruah, Dhiraj, et al.. (2022). COVID-19 Diagnosis on Chest Radiograph Using Artificial Intelligence. Cureus. 14(11). e31897–e31897. 2 indexed citations
13.
Aquino, Gilberto J., Andres F. Abadia, U. Joseph Schoepf, et al.. (2021). Coronary CT Fractional Flow Reserve before Transcatheter Aortic Valve Replacement: Clinical Outcomes. Radiology. 302(1). 50–58. 16 indexed citations
14.
15.
Kabakus, Ismail, U. Joseph Schoepf, Andreas Fischer, et al.. (2021). Performance of an Artificial Intelligence-Based Platform Against Clinical Radiology Reports for the Evaluation of Noncontrast Chest CT. Academic Radiology. 29. S108–S117. 12 indexed citations
16.
Burt, Jeremy R., et al.. (2020). Fat-Finding Mission. SHILAP Revista de lepidopterología. 2(10). 1520–1526. 1 indexed citations
17.
Greer, Matthew D., Nathan Lay, Joanna H. Shih, et al.. (2018). Computer-aided diagnosis prior to conventional interpretation of prostate mpMRI: an international multi-reader study. European Radiology. 28(10). 4407–4417. 73 indexed citations
18.
Greer, Matthew D., Joanna H. Shih, Nathan Lay, et al.. (2017). Validation of the Dominant Sequence Paradigm and Role of Dynamic Contrast-enhanced Imaging in PI-RADS Version 2. Radiology. 285(3). 859–869. 123 indexed citations
19.
Mertan, Francesca, Matthew D. Greer, Ismail Kabakus, et al.. (2016). Multiparametric Magnetic Resonance Imaging of Recurrent Prostate Cancer. Topics in Magnetic Resonance Imaging. 25(3). 139–147. 43 indexed citations
20.
Kabakus, Ismail, et al.. (2013). Fracture of the Atlas through a Synchondrosis of Anterior Arch. SHILAP Revista de lepidopterología. 2013. 1–3. 2 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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