Jae W. Song
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- Cerebrovascular and Carotid Artery Diseases 23
- Vasculitis and related conditions 10
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 5
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- Advanced Neuroimaging Techniques and Applications 7
- Cardiac Imaging and Diagnostics 5
- Neurology top 10%
- Intracranial Aneurysms: Treatment and Complications 9
- Rheumatology top 10%
- Moyamoya disease diagnosis and treatment 9
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- Acute Ischemic Stroke Management 13
- Co-authors
- Kevin C. ChungEmi TakahashiP. Ellen GrantZhaoyang FanSteven R. MesséScott E. KasnerJiayu XiaoMike K. Liang
- Journals
- Journal of Neuroscience (1 paper)SHILAP Revista de lepidopterología (1 paper)NeuroImage (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Jae W. Song
67 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Pulmonary and Respiratory Medicine 439
- Radiology, Nuclear Medicine and Imaging 305
- Neurology 193
- Rheumatology 138
- Developmental Neuroscience 32
Countries citing papers authored by Jae W. Song
This map shows the geographic impact of Jae W. Song'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 Jae W. Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae W. Song more than expected).
Fields of papers citing papers by Jae W. Song
This network shows the impact of papers produced by Jae W. Song. 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 Jae W. Song. The network helps show where Jae W. Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jae W. Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 11 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 2 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 18 | |
| 12 | 2020 | 81 | |
| 13 | 2020 | 11 | |
| 14 | 2020 | 1 | |
| 15 | 2020 | 17 | |
| 16 | 2019 | 6 | |
| 17 | 2019 | 14 | |
| 18 | 2019 | 7 | |
| 19 | 2018 | 5 | |
| 20 | 2011 | 21 |
About Jae W. Song
Jae W. Song is a scholar working on Pulmonary and Respiratory Medicine, Neurology and Rheumatology, having authored 76 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (23 papers), Acute Ischemic Stroke Management (13 papers), Vasculitis and related conditions (10 papers), Intracranial Aneurysms: Treatment and Complications (9 papers), Moyamoya disease diagnosis and treatment (9 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers) and Cardiac Imaging and Diagnostics (5 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (439 citations), Radiology, Nuclear Medicine and Imaging (305 citations) and Neurology (193 citations). Jae W. Song has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Kevin C. Chung, Emi Takahashi, P. Ellen Grant, Zhaoyang Fan, Steven R. Messé, Scott E. Kasner, Jiayu Xiao, Mike K. Liang, Jenifer L. Marks and Herman Yee. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and NeuroImage.
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.