Erdal Taşçı

744 total citations
39 papers, 532 citations indexed

About

Erdal Taşçı is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Erdal Taşçı has authored 39 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 9 papers in Genetics. Recurrent topics in Erdal Taşçı's work include Radiomics and Machine Learning in Medical Imaging (10 papers), Glioma Diagnosis and Treatment (9 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Erdal Taşçı is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Glioma Diagnosis and Treatment (9 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Erdal Taşçı collaborates with scholars based in Türkiye, United States and United Kingdom. Erdal Taşçı's co-authors include Aybars Uğur, Andra Krauze, Kevin Camphausen, Ying Zhuge, Harpreet Kaur, Cemal Asım Kutlu, Mary Sproull, Çağatay Tezel, Megan Mackey and Uma Shankavaram and has published in prestigious journals such as International Journal of Molecular Sciences, Expert Systems with Applications and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Erdal Taşçı

37 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erdal Taşçı Türkiye 11 197 182 88 85 72 39 532
Kazuma Kobayashi Japan 14 193 1.0× 241 1.3× 65 0.7× 52 0.6× 115 1.6× 32 638
Duyen Thi Taiwan 11 78 0.4× 178 1.0× 60 0.7× 32 0.4× 166 2.3× 15 513
Shanxiong Chen China 11 153 0.8× 83 0.5× 24 0.3× 129 1.5× 18 0.3× 66 443
Antonio Foncubierta–Rodríguez Switzerland 13 159 0.8× 233 1.3× 67 0.8× 187 2.2× 55 0.8× 29 532
Ta Zhou China 15 282 1.4× 190 1.0× 81 0.9× 59 0.7× 27 0.4× 54 615
Pooya Mobadersany United States 5 432 2.2× 420 2.3× 84 1.0× 94 1.1× 114 1.6× 9 716
George Nikiforidis Greece 16 410 2.1× 216 1.2× 53 0.6× 206 2.4× 93 1.3× 42 792
Dong Wei China 12 163 0.8× 205 1.1× 35 0.4× 146 1.7× 10 0.1× 40 422
Paul Desbordes France 9 142 0.7× 285 1.6× 104 1.2× 41 0.5× 34 0.5× 13 534
Dimitris Glotsos Greece 16 424 2.2× 321 1.8× 44 0.5× 219 2.6× 107 1.5× 73 868

Countries citing papers authored by Erdal Taşçı

Since Specialization
Citations

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

Fields of papers citing papers by Erdal Taşçı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erdal Taşçı

This figure shows the co-authorship network connecting the top 25 collaborators of Erdal Taşçı. A scholar is included among the top collaborators of Erdal Taşçı 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 Erdal Taşçı. Erdal Taşçı 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.
Taşçı, Erdal, Ying Zhuge, Longze Zhang, et al.. (2025). Radiomics and AI-Based Prediction of MGMT Methylation Status in Glioblastoma Using Multiparametric MRI: A Hybrid Feature Weighting Approach. Diagnostics. 15(10). 1292–1292. 3 indexed citations
3.
Taşçı, Erdal, Yajas Shah, Ying Zhuge, et al.. (2024). MGMT ProFWise: Unlocking a New Application for Combined Feature Selection and the Rank-Based Weighting Method to Link MGMT Methylation Status to Serum Protein Expression in Patients with Glioblastoma. International Journal of Molecular Sciences. 25(7). 4082–4082. 6 indexed citations
4.
Taşçı, Erdal, Ying Zhuge, Longze Zhang, et al.. (2024). MetaWise: Combined Feature Selection and Weighting Method to Link the Serum Metabolome to Treatment Response and Survival in Glioblastoma. International Journal of Molecular Sciences. 25(20). 10965–10965. 4 indexed citations
5.
Taşçı, Erdal, Ying Zhuge, Longze Zhang, et al.. (2024). Serum CD133-Associated Proteins Identified by Machine Learning Are Connected to Neural Development, Cancer Pathways, and 12-Month Survival in Glioblastoma. Cancers. 16(15). 2740–2740. 2 indexed citations
6.
Taşçı, Erdal, et al.. (2023). An Overview of CD133 as a Functional Unit of Prognosis and Treatment Resistance in Glioblastoma. Current Oncology. 30(9). 8278–8293. 15 indexed citations
7.
Krauze, Andra, Michael Sierk, Qingrong Chen, et al.. (2023). Glioblastoma survival is associated with distinct proteomic alteration signatures post chemoirradiation in a large-scale proteomic panel. Frontiers in Oncology. 13. 1127645–1127645. 7 indexed citations
9.
Taşçı, Erdal, Ying Zhuge, Mary Sproull, et al.. (2023). RadWise: A Rank-Based Hybrid Feature Weighting and Selection Method for Proteomic Categorization of Chemoirradiation in Patients with Glioblastoma. Cancers. 15(10). 2672–2672. 10 indexed citations
11.
Zhuge, Ying, Holly Ning, Jason Cheng, et al.. (2023). Survival Prediction in Glioblastoma Using Combination of Deep Learning and Hand-Crafted Radiomic Features in MRI Images. Journal of Advances in Information Technology. 14(6). 1461–1469. 1 indexed citations
13.
Taşçı, Erdal, et al.. (2021). Lung transplantation for non-cystic fibrosis bronchiectasis in Turkey: An initial institutional experience. Asian Journal of Surgery. 45(1). 162–166.
14.
Taşçı, Erdal, et al.. (2021). COVID-19: the new cause of dyspnoea as a result of reduced lung and peripheral muscle performance. Journal of Breath Research. 15(4). 47103–47103. 8 indexed citations
15.
Taşçı, Erdal, et al.. (2020). Extracorporeal membrane oxygenation as a bridge to lung transplantation in a Turkish lung transplantation program: our initial experience. Journal of Artificial Organs. 24(1). 36–43. 2 indexed citations
16.
Taşçı, Erdal. (2020). Voting combinations-based ensemble of fine-tuned convolutional neural networks for food image recognition. Multimedia Tools and Applications. 79(41-42). 30397–30418. 25 indexed citations
17.
Taşçı, Erdal, et al.. (2019). Weighted Voting Based Ensemble Classification with Hyper-parameter Optimization. 1–4. 10 indexed citations
18.
Dalar, Levent, et al.. (2016). Lung transplantation in Turkey: lessons from surgeons and pulmonologists. TURKISH JOURNAL OF MEDICAL SCIENCES. 46(5). 1434–1442. 2 indexed citations
19.
Taşçı, Erdal & Aybars Uğur. (2015). Shape and Texture Based Novel Features for Automated Juxtapleural Nodule Detection in Lung CTs. Journal of Medical Systems. 39(5). 46–46. 43 indexed citations
20.
Taşçı, Erdal, et al.. (2008). Latero-lateral slide tracheoplasty for upper airway stenosis: An 8-year follow-up. Journal of Thoracic and Cardiovascular Surgery. 137(1). e44–e46. 1 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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