Dae Young Yoon
- Surgery top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Neurology top 5%
- Co-authors
- Young Lan SeoEun Joo YunKyoung Ja LimSuk Ki ChangChul Soon ChoiSora BaekYoung Soo RhoJong Seok Bae
- Topics
- Cerebrovascular and Carotid Artery Diseases (16 papers)Meta-analysis and systematic reviews (15 papers)Thyroid Cancer Diagnosis and Treatment (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroImageRadiology
- Partner nations
- South KoreaUnited StatesNigeria
In The Last Decade
Dae Young Yoon
140 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 153
- Surgery 780
- Radiology, Nuclear Medicine and Imaging 562
- Pulmonary and Respiratory Medicine 458
- Endocrinology, Diabetes and Metabolism 418
- Neurology 336
Countries citing papers authored by Dae Young Yoon
This map shows the geographic impact of Dae Young Yoon'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 Dae Young Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae Young Yoon more than expected).
Fields of papers citing papers by Dae Young Yoon
This network shows the impact of papers produced by Dae Young Yoon. 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 Dae Young Yoon. The network helps show where Dae Young Yoon may publish in the future.
Co-authorship network of co-authors of Dae Young Yoon
This figure shows the co-authorship network connecting the top 25 collaborators of Dae Young Yoon. A scholar is included among the top collaborators of Dae Young Yoon 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 Dae Young Yoon. Dae Young Yoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 13 | |
| 5 | 18 | |
| 6 | 2 | |
| 7 | 23 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 14 | |
| 12 | 15 | |
| 13 | 5 | |
| 14 | 127 | |
| 15 | Doppler Sonography of Diabetic Feet: Quantitative Analysis of Blood Flow Volume | 0 |
| 16 | Comparison of Quality of Ultrasonographic Image of the Pancreas: Tissue Harmonic Image vs. Fundamental Image | 0 |
| 17 | STUDY ON THE NOVEL REARRANGEMENT REACTION OF BICYCLIC ACETAL COMPOUND BY USING ACCL-NAI | 1 |
| 18 | Influence of Instrument Settings on Flow Signal and Background Noise in Power Doppler US | 2 |
| 19 | 24 | |
| 20 | 12 |
About Dae Young Yoon
Dae Young Yoon is a scholar working on Otorhinolaryngology, Statistics, Probability and Uncertainty and Neurology, having authored 151 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (16 papers), Meta-analysis and systematic reviews (15 papers) and Thyroid Cancer Diagnosis and Treatment (14 papers). The work is most often cited by research in Otorhinolaryngology (230 citations), Health Informatics (52 citations) and Statistics, Probability and Uncertainty (212 citations). Dae Young Yoon has collaborated with scholars based in South Korea, United States and Nigeria. Frequent co-authors include Young Lan Seo, Eun Joo Yun, Kyoung Ja Lim, Suk Ki Chang, Chul Soon Choi, Sora Baek, Young Soo Rho, Jong Seok Bae, Eun Soo Kim and Hee Sung Hwang. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Radiology.
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.