Ruoran Wang
Impact in
- Neurology top 10%
- Traumatic Brain Injury and Neurovascular Disturbances
- Intracerebral and Subarachnoid Hemorrhage Research
Papers in
- Neurology 12
- Traumatic Brain Injury and Neurovascular Disturbances 9
- Intracranial Aneurysms: Treatment and Complications 3
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- Sepsis Diagnosis and Treatment 6
- Co-authors
- Min He (13 shared papers)Jianguo Xu (21 shared papers)Jing Zhang (7 shared papers)Min He (12 shared papers)Yan Kang (5 shared papers)Xiaofeng Ou (4 shared papers)Jianguo Xu (7 shared papers)Fengyi Qu (1 shared paper)
- Journals
- Frontiers in Neurology (6 papers)Neurosurgical Review (5 papers)Clinical Neurology and Neurosurgery (3 papers)Medicine (2 papers)Therapeutics and Clinical Risk Management (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Ruoran Wang
45 papers receiving 465 citations
Peers
Comparison fields: 5 of 98
- Neurology 101
- Critical Care and Intensive Care Medicine 27
- Nephrology 36
- Emergency Medicine 35
- Health Informatics 4
Countries citing papers authored by Ruoran Wang
This map shows the geographic impact of Ruoran Wang'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 Ruoran Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruoran Wang more than expected).
Fields of papers citing papers by Ruoran Wang
This network shows the impact of papers produced by Ruoran Wang. 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 Ruoran Wang. The network helps show where Ruoran Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruoran Wang, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | XGBoost Machine Learning Algorithm for Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage | 2022 | 57 |
| 2 | 2022 | 51 | |
| 3 | 2020 | 43 | |
| 4 | 2022 | 33 | |
| 5 | 2020 | 29 | |
| 6 | 2014 | 17 | |
| 7 | 2021 | 17 | |
| 8 | 2020 | 16 | |
| 9 | 2023 | 13 | |
| 10 | 2020 | 12 | |
| 11 | 2022 | 12 | |
| 12 | 2021 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2024 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 8 |
About Ruoran Wang
Ruoran Wang is a scholar working on Neurology, Epidemiology, Nephrology, Surgery and Emergency Medicine, having authored 49 papers that have together received 470 indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (9 papers), Sepsis Diagnosis and Treatment (6 papers), Parathyroid Disorders and Treatments (4 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Acute Kidney Injury Research (3 papers), Hemodynamic Monitoring and Therapy (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Cardiac Arrest and Resuscitation (2 papers). The work is most often cited by research in Neurology (101 citations), Critical Care and Intensive Care Medicine (27 citations), Nephrology (36 citations), Emergency Medicine (35 citations) and Health Informatics (4 citations). Ruoran Wang has collaborated with scholars based in China and United States. Frequent co-authors include Min He, Jianguo Xu, Jing Zhang, Min He, Yan Kang, Xiaofeng Ou, Jianguo Xu, Fengyi Qu, Yan Kang and Xiaoqi Xie. Their work appears in journals such as Frontiers in Neurology, Neurosurgical Review, Clinical Neurology and Neurosurgery, Medicine and Therapeutics and Clinical Risk Management.
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.