Runqing Wang
Impact in
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- Venous Thromboembolism Diagnosis and Management
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- Stroke Rehabilitation and Recovery
Papers in
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- Kruppel-like factors research 1
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- Stroke Rehabilitation and Recovery 4
- Co-authors
- Lihua Wang (2 shared papers)Shijie Liu (2 shared papers)Zongliu Hou (2 shared papers)Hui Gao (2 shared papers)Yiyi Zhao (3 shared papers)Mingyao Meng (3 shared papers)Wenju Wang (2 shared papers)Lirong Yang (3 shared papers)
- Journals
- Stroke and Vascular Neurology (2 papers)Scientific Reports (1 paper)Organic Process Research & Development (1 paper)BioMed Research International (1 paper)Frontiers in Genetics (1 paper)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Runqing Wang
15 papers receiving 175 citations
Peers
Comparison fields: 5 of 64
- Internal Medicine 26
- Rehabilitation 34
- Genetics 23
- Dermatology 19
- Epidemiology 69
Countries citing papers authored by Runqing Wang
This map shows the geographic impact of Runqing 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 Runqing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runqing Wang more than expected).
Fields of papers citing papers by Runqing Wang
This network shows the impact of papers produced by Runqing 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 Runqing Wang. The network helps show where Runqing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Runqing 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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 44 | |
| 2 | 2021 | 37 | |
| 3 | 2021 | 22 | |
| 4 | Therapeutic effect of transplanted umbilical cord mesenchymal stem cells in a cynomolgus monkey model of multiple sclerosis. | 2019 | 14 |
| 5 | 2015 | 13 | |
| 6 | 2019 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2020 | 10 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2017 | 4 | |
| 12 | 2021 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 |
About Runqing Wang
Runqing Wang is a scholar working on Molecular Biology, Rehabilitation, Epidemiology, Pulmonary and Respiratory Medicine and Oncology, having authored 17 papers that have together received 180 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (4 papers), Stroke Rehabilitation and Recovery (4 papers), Cellular transport and secretion (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Kruppel-like factors research (1 paper), Spine and Intervertebral Disc Pathology (1 paper) and Electric Vehicles and Infrastructure (1 paper). The work is most often cited by research in Internal Medicine (26 citations), Rehabilitation (34 citations), Genetics (23 citations), Dermatology (19 citations) and Epidemiology (69 citations). Runqing Wang has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Lihua Wang, Shijie Liu, Zongliu Hou, Hui Gao, Yiyi Zhao, Mingyao Meng, Wenju Wang, Lirong Yang, Jie Zhao and Qing Ye. Their work appears in journals such as Stroke and Vascular Neurology, Scientific Reports, Organic Process Research & Development, BioMed Research International and Frontiers in Genetics.
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.