Onur Yıldırım
Impact in
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- Glioma Diagnosis and Treatment
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- Cancer Genomics and Diagnostics
Papers in
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- MRI in cancer diagnosis 4
- Radiomics and Machine Learning in Medical Imaging 4
- Genetics 5
- Glioma Diagnosis and Treatment 4
- Co-authors
- Oğuz Akın (2 shared papers)Maria Clara Fernandes (3 shared papers)Jingya Liu (1 shared paper)Yingli Tian (1 shared paper)İbrahim ŞEKER (1 shared paper)Selim Kul (1 shared paper)Hedvig Hricak (1 shared paper)Luca Pasquini (3 shared papers)
- Journals
- American Journal of Neuroradiology (3 papers)Journal of Neuro-Oncology (2 papers)Cancers (2 papers)Neuro-Oncology (1 paper)Annals of Oncology (1 paper)
- Partner nations
- United StatesTürkiyeJordan
In The Last Decade
Onur Yıldırım
31 papers receiving 373 citations
Peers
Comparison fields: 5 of 58
- Genetics 78
- Cancer Research 54
- Radiology, Nuclear Medicine and Imaging 82
- Pulmonary and Respiratory Medicine 113
- Neurology 45
Countries citing papers authored by Onur Yıldırım
This map shows the geographic impact of Onur 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 Onur Yıldırım with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Onur Yıldırım more than expected).
Fields of papers citing papers by Onur Yıldırım
This network shows the impact of papers produced by Onur 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 Onur Yıldırım. The network helps show where Onur Yıldırım may publish in the future.
Co-authors
The 25 scholars most cited alongside Onur Yıldırım, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 77 | |
| 2 | 2022 | 50 | |
| 3 | 2022 | 37 | |
| 4 | 2023 | 32 | |
| 5 | 2022 | 30 | |
| 6 | 2021 | 21 | |
| 7 | 2006 | 20 | |
| 8 | 2016 | 17 | |
| 9 | 2021 | 16 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 11 | |
| 12 | 2006 | 9 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2022 | 5 | |
| 16 | The incidence and distribution of accessory ossicles of the foot | 2011 | 4 |
| 17 | 2025 | 4 | |
| 18 | 2008 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2024 | 3 |
About Onur Yıldırım
Onur Yıldırım is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Orthopedics and Sports Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 36 papers that have together received 386 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), MRI in cancer diagnosis (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Renal cell carcinoma treatment (3 papers), Foot and Ankle Surgery (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Orthopedic Surgery and Rehabilitation (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Genetics (78 citations), Cancer Research (54 citations), Radiology, Nuclear Medicine and Imaging (82 citations), Pulmonary and Respiratory Medicine (113 citations) and Neurology (45 citations). Onur Yıldırım has collaborated with scholars based in United States, Türkiye and Jordan. Frequent co-authors include Oğuz Akın, Maria Clara Fernandes, Jingya Liu, Yingli Tian, İbrahim ŞEKER, Selim Kul, Hedvig Hricak, Luca Pasquini, Sungmin Woo and Andrei I. Holodny. Their work appears in journals such as American Journal of Neuroradiology, Journal of Neuro-Oncology, Cancers, Neuro-Oncology and Annals of Oncology.
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.