Aytül Hande Yardımcı

673 total citations
34 papers, 479 citations indexed

About

Aytül Hande Yardımcı is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Aytül Hande Yardımcı has authored 34 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 14 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Oncology. Recurrent topics in Aytül Hande Yardımcı's work include Radiomics and Machine Learning in Medical Imaging (12 papers), Colorectal Cancer Surgical Treatments (7 papers) and MRI in cancer diagnosis (5 papers). Aytül Hande Yardımcı is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Colorectal Cancer Surgical Treatments (7 papers) and MRI in cancer diagnosis (5 papers). Aytül Hande Yardımcı collaborates with scholars based in Türkiye, Antigua and Barbuda and United Kingdom. Aytül Hande Yardımcı's co-authors include Ceyda Turan Bektaş, Özgür Kılıçkesmez, Burak Koçak, Çağrı Erdim, Sevim Baykal Koca, Uğur Yücetaş, Burak Koçak, Nevra Dursun, Hasan Bektaş and Mert Mahsuni Sevinç and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Roentgenology and Annals of Surgical Oncology.

In The Last Decade

Aytül Hande Yardımcı

30 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aytül Hande Yardımcı Türkiye 11 343 274 114 76 67 34 479
Hiram Shaish United States 11 244 0.7× 209 0.8× 40 0.4× 55 0.7× 117 1.7× 33 385
Ceyda Turan Bektaş Türkiye 7 313 0.9× 245 0.9× 103 0.9× 46 0.6× 55 0.8× 11 378
Emily B. Tsai United States 10 184 0.5× 167 0.6× 49 0.4× 207 2.7× 37 0.6× 17 548
Stylianos Argentos Greece 12 274 0.8× 167 0.6× 193 1.7× 71 0.9× 29 0.4× 23 462
Yura Ahn South Korea 10 163 0.5× 107 0.4× 35 0.3× 47 0.6× 24 0.4× 51 353
Hoi Yin Loi Singapore 8 354 1.0× 148 0.5× 102 0.9× 37 0.5× 96 1.4× 20 426
Sarim Ather United Kingdom 9 343 1.0× 254 0.9× 67 0.6× 18 0.2× 37 0.6× 30 466
Khoschy Schawkat Switzerland 10 115 0.3× 136 0.5× 34 0.3× 109 1.4× 119 1.8× 24 408
Gowthaman Gunabushanam United States 10 235 0.7× 231 0.8× 93 0.8× 35 0.5× 27 0.4× 29 418
Serena Dell’Aversana Italy 14 211 0.6× 69 0.3× 56 0.5× 108 1.4× 23 0.3× 28 400

Countries citing papers authored by Aytül Hande Yardımcı

Since Specialization
Citations

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

Fields of papers citing papers by Aytül Hande Yardımcı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aytül Hande Yardımcı. 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 Aytül Hande Yardımcı. The network helps show where Aytül Hande Yardımcı may publish in the future.

Co-authorship network of co-authors of Aytül Hande Yardımcı

This figure shows the co-authorship network connecting the top 25 collaborators of Aytül Hande Yardımcı. A scholar is included among the top collaborators of Aytül Hande Yardımcı 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 Aytül Hande Yardımcı. Aytül Hande Yardımcı 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.
Erdem, Gökmen Umut, et al.. (2025). Predicting complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: The role of baseline volumetric 18F-FDG PET/CT parameters and inflammatory markers. Revista Española de Medicina Nuclear e Imagen Molecular (English Edition). 44(5). 500113–500113.
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Yardımcı, Aytül Hande, et al.. (2023). The effect of sarcopenia and sarcopenic obesity on survival in gastric cancer. BMC Cancer. 23(1). 911–911. 19 indexed citations
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Yardımcı, Aytül Hande, Burak Koçak, Ceyda Turan Bektaş, et al.. (2022). Radiomics of locally advanced rectal cancer: machine learning-based prediction of response to neoadjuvant chemoradiotherapy using pre-treatment sagittal T2-weighted MRI. Japanese Journal of Radiology. 41(1). 71–82. 27 indexed citations
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Turan, Demet, et al.. (2021). Transbronchial cryobiopsy for diagnosing parenchymal lung diseases: real-life experience from a tertiary referral center.. PubMed. 38(1). e2021004–e2021004. 3 indexed citations
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Yardımcı, Aytül Hande, et al.. (2021). Is appendectomy always the adequate treatment? Clinical manifestations of isolated actinomycosis in appendix. Turkish Journal of Surgery. 37(4). 403–407. 3 indexed citations
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Hacıhamdioğlu, Duygu Övünç, et al.. (2021). Could arterial stiffness be early reversible target organ damage test in childhood hypertension?. The Anatolian Journal of Cardiology. 25(7). 496–504.
10.
Dursun, Nevra, et al.. (2020). Prognostic Value of Preoperative Neutrophil-lymphocyte/ Platelet-lymphocyte Ratio in Patients with Stage II-III Rectal Cancer Who Underwent Curative Resection. SHILAP Revista de lepidopterología. 21(5). 384–390. 2 indexed citations
11.
Koçak, Burak, Ece Ateş Kuş, Aytül Hande Yardımcı, Ceyda Turan Bektaş, & Özgür Kılıçkesmez. (2020). Machine Learning in Radiomic Renal Mass Characterization: Fundamentals, Applications, Challenges, and Future Directions. American Journal of Roentgenology. 215(4). 920–928. 16 indexed citations
12.
Arslan, Esra, et al.. (2020). 18F-FDG PET/CT in Hyalinized Cholecystitis. Clinical Nuclear Medicine. 46(4). e228–e230. 1 indexed citations
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Yardımcı, Aytül Hande, Ceyda Turan Bektaş, Nevra Dursun, et al.. (2020). Computed tomography texture analysis in patients with gastric cancer: a quantitative imaging biomarker for preoperative evaluation before neoadjuvant chemotherapy treatment. Japanese Journal of Radiology. 38(6). 553–560. 6 indexed citations
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Erdim, Çağrı, Aytül Hande Yardımcı, Ceyda Turan Bektaş, et al.. (2020). Prediction of Benign and Malignant Solid Renal Masses: Machine Learning-Based CT Texture Analysis. Academic Radiology. 27(10). 1422–1429. 55 indexed citations
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Bektaş, Ceyda Turan, Burak Koçak, Aytül Hande Yardımcı, et al.. (2018). Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade. European Radiology. 29(3). 1153–1163. 126 indexed citations
16.
Koçak, Burak, Aytül Hande Yardımcı, Ceyda Turan Bektaş, et al.. (2018). Textural differences between renal cell carcinoma subtypes: Machine learning-based quantitative computed tomography texture analysis with independent external validation. European Journal of Radiology. 107. 149–157. 101 indexed citations
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Yardımcı, Aytül Hande, et al.. (2018). Is Appendectomy Always Adequate Treatment ? : Clinical Manifestations of Isolated Actinomycosis in Appendix. Turkish Journal of Surgery. 1–4. 1 indexed citations
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Gündoğan, Cihan, et al.. (2018). Role of contrast-enhanced 18F-FDG PET/CT imaging in the diagnosis and staging of renal tumors. Nuclear Medicine Communications. 39(12). 1174–1182. 8 indexed citations
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Bayrak, Savaş, Ceyda Turan Bektaş, Aytül Hande Yardımcı, et al.. (2016). Preoperative localization of distal colorectal tumours.. PubMed. 87. 595–600. 3 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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