Junjia Tang
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Intracerebral and Subarachnoid Hemorrhage Research
- Intracranial Aneurysms: Treatment and Complications
- Neurological Disease Mechanisms and Treatments
- Traumatic Brain Injury and Neurovascular Disturbances
- Developmental Neuroscience top 10%
Papers in
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- Traumatic Brain Injury and Neurovascular Disturbances 5
- Intracerebral and Subarachnoid Hemorrhage Research 5
- Intracranial Aneurysms: Treatment and Complications 3
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Barrier Structure and Function Studies 2
Junjia Tang
16 papers receiving 786 citations
Peers
Comparison fields: 5 of 72
- Neurology 258
- Neurology 259
- Developmental Neuroscience 59
- Molecular Biology 335
- Epidemiology 162
Countries citing papers authored by Junjia Tang
This map shows the geographic impact of Junjia Tang'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 Junjia Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjia Tang more than expected).
Fields of papers citing papers by Junjia Tang
This network shows the impact of papers produced by Junjia Tang. 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 Junjia Tang. The network helps show where Junjia Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junjia Tang, 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 | 7 | |
| 2 | 2022 | 30 | |
| 3 | 2019 | 7 | |
| 4 | 2018 | 247 | |
| 5 | 2015 | 16 | |
| 6 | 2015 | 23 | |
| 7 | 2015 | 19 | |
| 8 | 2015 | 59 | |
| 9 | 2014 | 29 | |
| 10 | 2014 | 35 | |
| 11 | 2014 | 42 | |
| 12 | 2014 | 70 | |
| 13 | 2014 | 55 | |
| 14 | 2014 | 71 | |
| 15 | 2014 | 78 | |
| 16 | [Correlation between IDH1 mutation and prognosis in supratentorial high-grade astrocytomas]. | 2013 | 4 |
About Junjia Tang
Junjia Tang is a scholar working on Neurology, Neurology, Developmental Neuroscience, Genetics and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 792 indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Autophagy in Disease and Therapy (2 papers), Barrier Structure and Function Studies (2 papers), Phagocytosis and Immune Regulation (2 papers) and Neonatal and fetal brain pathology (1 paper). The work is most often cited by research in Neurology (258 citations), Neurology (259 citations), Developmental Neuroscience (59 citations), Molecular Biology (335 citations) and Epidemiology (162 citations). Junjia Tang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Qin Hu, Anatol Manaenko, Jianfei Lu, Fan Liu, John H. Zhang, Jiping Tang, Yujie Chen, Yang Zhang, Jianmin Zhang and Liang Xu. Their work appears in journals such as Stroke, Molecular Neurobiology, Frontiers in Oncology, International Journal of Medical Sciences and Translational Stroke Research.
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.