Düzgün Yıldırım

1.4k total citations
71 papers, 672 citations indexed

About

Düzgün Yıldırım is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Düzgün Yıldırım has authored 71 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Surgery, 20 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Biomedical Engineering. Recurrent topics in Düzgün Yıldırım's work include Advanced Chemical Sensor Technologies (9 papers), Olfactory and Sensory Function Studies (9 papers) and Thyroid Cancer Diagnosis and Treatment (8 papers). Düzgün Yıldırım is often cited by papers focused on Advanced Chemical Sensor Technologies (9 papers), Olfactory and Sensory Function Studies (9 papers) and Thyroid Cancer Diagnosis and Treatment (8 papers). Düzgün Yıldırım collaborates with scholars based in Türkiye, United States and Pakistan. Düzgün Yıldırım's co-authors include Deniz Esin Tekcan Şanlı, Aytuğ Altundağ, Sedat Giray Kandemirli, Özlem Saatçi, Ahmet Necati Şanlı, Melih Çayönü, Bengı Gürses, Gühan Dergin, Cenk Kılıç and Hasan Garip and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Laryngoscope and Otolaryngology.

In The Last Decade

Düzgün Yıldırım

65 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Düzgün Yıldırım Türkiye 13 210 206 159 137 105 71 672
Alberto Grammatica Italy 18 150 0.7× 117 0.6× 83 0.5× 478 3.5× 77 0.7× 56 989
Sangam Kanekar United States 15 218 1.0× 37 0.2× 50 0.3× 174 1.3× 122 1.2× 68 755
Nicholas R. Rowan United States 20 94 0.4× 389 1.9× 197 1.2× 548 4.0× 48 0.5× 124 1.3k
Anna See Singapore 13 74 0.4× 142 0.7× 95 0.6× 121 0.9× 20 0.2× 36 637
Hiroko Monobe Japan 12 33 0.2× 139 0.7× 32 0.2× 138 1.0× 40 0.4× 24 469
Devyani Lal United States 28 140 0.7× 74 0.4× 48 0.3× 1.0k 7.5× 60 0.6× 115 2.0k
Bayram Veyseller Türkiye 16 66 0.3× 219 1.1× 70 0.4× 336 2.5× 13 0.1× 61 700
Bozena Wrobel United States 19 86 0.4× 293 1.4× 206 1.3× 462 3.4× 15 0.1× 66 974
David W. Jang United States 16 63 0.3× 94 0.5× 51 0.3× 541 3.9× 13 0.1× 95 863
Andrea Costantino Italy 17 69 0.3× 63 0.3× 72 0.5× 436 3.2× 43 0.4× 113 897

Countries citing papers authored by Düzgün Yıldırım

Since Specialization
Citations

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

Fields of papers citing papers by Düzgün Yıldırım

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Düzgün Yıldırım

This figure shows the co-authorship network connecting the top 25 collaborators of Düzgün Yıldırım. A scholar is included among the top collaborators of Düzgün Yıldırım 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 Düzgün Yıldırım. Düzgün Yıldırım 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.
Şamlı, Rüya, et al.. (2024). SEGMENTATION OF THYROID NODULES ON ULTRASOUND IMAGES. DergiPark (Istanbul University). 20(2). 191–211. 1 indexed citations
2.
Kocadağlı, Ozan, et al.. (2023). Multi-class classification of thyroid nodules from automatic segmented ultrasound images: Hybrid ResNet based UNet convolutional neural network approach. Computer Methods and Programs in Biomedicine. 243. 107921–107921. 20 indexed citations
3.
Alış, Deniz, et al.. (2023). Deep learning for assessing image quality in bi-parametric prostate MRI: A feasibility study. European Journal of Radiology. 165. 110924–110924. 10 indexed citations
4.
Kocadağlı, Ozan, et al.. (2023). ChatGPT-assisted deep learning model for thyroid nodule analysis: beyond artifical intelligence. Medical Ultrasonography. 25(4). 375–375. 6 indexed citations
5.
Yılmaz, Eren, et al.. (2022). Endoscopic Endonasal Approach to a Giant Dentigerous Cyst. SHILAP Revista de lepidopterología. 32(2). 43–46.
6.
Yıldırım, Düzgün, et al.. (2022). A new technique waiting to improve in the diagnosis of breast cancer: Contrast-enhanced mammography. The Annals of Clinical and Analytical Medicine. 13(Suppl_01). 1 indexed citations
7.
Altundağ, Aytuğ, Özlem Saatçi, Sedat Giray Kandemirli, et al.. (2021). Imaging Features to Predict Response to Olfactory Training in Post‐Traumatic Olfactory Dysfunction. The Laryngoscope. 131(7). E2243–E2250. 3 indexed citations
8.
Şanlı, Deniz Esin Tekcan, et al.. (2020). Magnetic resonance visualization of iron-loaded meshes in patients with pain after inguinal hernia repair. Hernia. 25(3). 727–732. 3 indexed citations
9.
Şanlı, Deniz Esin Tekcan & Düzgün Yıldırım. (2020). A new imaging sign in COVID-19 pneumonia: vascular changes and their correlation with clinical severity of the disease. Diagnostic and Interventional Radiology. 27(2). 172–180. 5 indexed citations
10.
Yıldırım, Düzgün, et al.. (2017). Current Radiological Approach in Thyroid Nodules. Journal of Cancer Therapy. 8(5). 423–442. 1 indexed citations
11.
Yıldırım, Düzgün, Cesur Samancı, Fethi Emre Ustabaşıoğlu, et al.. (2016). A dilemma at gray scale thyroid ultrasound: microcalcification or not? Differentiation with Acoustic Radiation Force Impulse Imaging–Virtual Touch Imaging.. Medical Ultrasonography. 18(4). 452–452. 4 indexed citations
12.
Yıldırım, Düzgün, et al.. (2015). Diagnostic value of single-photon emission computed tomography combined with computed tomography in relation to MRI on osteochondral lesions of the talus. Nuclear Medicine Communications. 36(8). 808–814. 15 indexed citations
13.
Yıldırım, Düzgün, et al.. (2013). Ultrasound elastography for the differential diagnosis of nipple retraction. Journal of Medical Ultrasonics. 40(4). 429–435. 2 indexed citations
14.
Yıldırım, Düzgün, et al.. (2012). Evaluation of ureteric jet flow with Doppler ultrasonography during manual compression. SHILAP Revista de lepidopterología. 37(4). 341–349. 1 indexed citations
15.
Yıldırım, Düzgün, et al.. (2012). Virtual bronchoscopy using FDG-PET/CT images for the evaluation of lung cancer.. PubMed. 16(14). 1951–60. 3 indexed citations
16.
17.
Yıldırım, Düzgün, et al.. (2011). Indirect measurement of the temporomandibular joint disc elasticity with magnetic resonance imaging. Dentomaxillofacial Radiology. 40(7). 422–428. 9 indexed citations
18.
Bozlar, Uğur, Fatih Örs, Düzgün Yıldırım, et al.. (2009). Atypical malignant mesothelioma characterized with massive effusion: computed tomography findings.. DergiPark (Istanbul University). 14(1). 78–80. 1 indexed citations
19.
Yıldırım, Düzgün, et al.. (2009). Multicentric osteoid osteoma with a nidus located in the epiphysis. Pediatric Radiology. 39(11). 1238–1241. 9 indexed citations
20.
Taşar, Mustafa, Mustafa Taşar, Sertaç Yetışer, et al.. (2006). Preoperative evaluation of the congenital aural atresia on computed tomography; an analysis of the severity of the deformity of the middle ear and mastoid. European Journal of Radiology. 62(1). 97–105. 14 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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