Ural Koç

536 total citations
29 papers, 343 citations indexed

About

Ural Koç is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ural Koç has authored 29 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ural Koç's work include Liver Disease Diagnosis and Treatment (6 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Radiology practices and education (4 papers). Ural Koç is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Radiology practices and education (4 papers). Ural Koç collaborates with scholars based in Türkiye, United States and France. Ural Koç's co-authors include William Parker, Marc Zins, Cedric Bohyn, Sergey Morozov, Erik Ranschaert, Daniel Pinto dos Santos, Martin J. Willemink, Martin Kočí, Dominik Fleischmann and Jie Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Radiology and International Journal of Radiation Biology.

In The Last Decade

Ural Koç

24 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ural Koç Türkiye	8	198	189	83	45	40	29	343
Hirotaka Takita Japan	14	252 1.3×	259 1.4×	121 1.5×	35 0.8×	25 0.6×	33	480
Malgorzata Polacin Switzerland	10	273 1.4×	119 0.6×	140 1.7×	105 2.3×	37 0.9×	28	646
Lauren Oakden‐Rayner Australia	11	152 0.8×	207 1.1×	99 1.2×	64 1.4×	32 0.8×	19	380
Ameer Khan United Kingdom	6	111 0.6×	71 0.4×	51 0.6×	29 0.6×	26 0.7×	14	260
Taiki Nozaki Japan	10	242 1.2×	235 1.2×	130 1.6×	65 1.4×	18 0.5×	19	490
Asser Abou Elkassem United States	10	199 1.0×	130 0.7×	50 0.6×	44 1.0×	62 1.6×	18	362
Janardhana Ponnatapura United States	7	142 0.7×	146 0.8×	102 1.2×	16 0.4×	38 0.9×	18	359
Anna Seehofnerová United States	8	139 0.7×	109 0.6×	129 1.6×	72 1.6×	11 0.3×	12	412
Reabal Najjar Australia	4	215 1.1×	162 0.9×	80 1.0×	116 2.6×	19 0.5×	6	390
Andrea Lum Canada	9	182 0.9×	109 0.6×	63 0.8×	89 2.0×	13 0.3×	13	358

Countries citing papers authored by Ural Koç

Since Specialization

Citations

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

Fields of papers citing papers by Ural Koç

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ural Koç

This figure shows the co-authorship network connecting the top 25 collaborators of Ural Koç. A scholar is included among the top collaborators of Ural Koç 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 Ural Koç. Ural Koç 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

Ganiz, Murat Can, et al.. (2025). Deep learning for named entity recognition in Turkish radiology reports. Diagnostic and Interventional Radiology. 31(5). 430–439.

Koç, Ural, et al.. (2025). Radiology meets AI: Evolving trends in national vs. international conferences (2019–2024). 3. 100032–100032. 1 indexed citations

Koç, Ural, et al.. (2025). Textual Proficiency and Visual Deficiency: A Comparative Study of Large Language Models and Radiologists in MRI Artifact Detection and Correction. Academic Radiology. 32(5). 2411–2421. 2 indexed citations

Koç, Ural, et al.. (2024). C-reactive protein to albumin ratio and radial artery thrombosis post transradial angiography. Biomarkers in Medicine. 18(9). 471–478.

Birinci, Şuayıp, Mustafa Mahir Ülgü, Erhan Akdoğan, et al.. (2022). Artificial Intelligence in Healthcare Competition (TEKNOFEST-2021): Stroke Data Set. Eurasian Journal of Medicine. 54(3). 248–258. 14 indexed citations

Algın, Oktay, Ural Koç, & Nadir Yalçın. (2021). Cerebrospinal fluid velocity changes of idiopathic scoliosis: a preliminary study on 3-T PC-MRI and 3D-SPACE-VFAM data. Child s Nervous System. 38(2). 379–386. 7 indexed citations

Huisman, Merel, Erik Ranschaert, William Parker, et al.. (2021). An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude. European Radiology. 31(9). 7058–7066. 143 indexed citations

Huisman, Merel, Erik Ranschaert, William Parker, et al.. (2021). An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education. European Radiology. 31(11). 8797–8806. 91 indexed citations

Şengül, Erkan, et al.. (2021). Evaluation of Tunneled Hemodialysis Catheters in Different Vascular Accesses. Kocaeli Üniversitesi - AVESİS. 7(2). 168–173.

10.

Koç, Ural, et al.. (2020). The Greulich-Pyle and Gilsanz-Ratib atlas method versus automated estimation tool for bone age: a multi-observer agreement study. Japanese Journal of Radiology. 39(3). 267–272. 7 indexed citations

11.

Koç, Ural, et al.. (2020). Statistical shape analysis of hand and wrist in paediatric population on radiographs. TURKISH JOURNAL OF MEDICAL SCIENCES. 50(5). 1288–1297. 1 indexed citations

12.

Koç, Ural, et al.. (2020). Evaluation of pancreatic steatosis prevalence and anthropometric measurements using non-contrast computed tomography. The Turkish Journal of Gastroenterology. 31(9). 640–648. 16 indexed citations

13.

Koç, Ural, et al.. (2020). Computed Tomography Measurements of Hepatic Steatosis in Cholelitihiasis and Cholecystectomy Cases Using Unenhanced Images. Journal of medical imaging and radiation sciences. 51(1). 137–144. 2 indexed citations

14.

Mertoğlu, Cuma, et al.. (2020). Is ischemia associated with the formation of White matter lesions in migraine?. Clinical Neurology and Neurosurgery. 193. 105770–105770. 4 indexed citations

15.

Koç, Ural, et al.. (2020). Evaluation of major complications associated with percutaneous CT-guided biopsy of lung nodules below 3 cm. TURKISH JOURNAL OF MEDICAL SCIENCES. 44(2). 369–374. 8 indexed citations

16.

Koç, Ural, Gökhan Ocakoğlu, & Oktay Algın. (2019). The efficacy of the 3-dimensional vibe-caipirinha-dixon technique in the evaluation of pancreatic steatosis. TURKISH JOURNAL OF MEDICAL SCIENCES. 50(1). 184–194. 5 indexed citations

17.

Koç, Ural & Pınar Karakaş. (2017). Retrograde Gastric Intussusception. Balkan Medical Journal. 34(2). 182–184. 1 indexed citations

18.

Koç, Ural & Pınar Karakaş. (2017). Radiological picture of premature baby with manifestation of brachytelephalangic type chondrodysplasia punctata, myelomalacia. The Turkish Journal of Pediatrics. 59(5). 604–609. 1 indexed citations

19.

Koç, Ural. (2017). Type 3 takayasu arteritis diagnosed by parvus‐tardus renal Doppler signal modulation. Journal of Clinical Ultrasound. 45(9). 612–615.

20.

Koç, Ural, et al.. (2016). A case of primary mediastinal Ewing's sarcoma/ primitive neuroectodermal tumor presenting with chest pain. Turkish Journal of Emergency Medicine. 17(2). 77–78. 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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