Pengyu Tang
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- Spinal Cord Injury Research 10
- Spine and Intervertebral Disc Pathology 9
- Cancer Research top 10%
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Genetics top 5%
- Developmental Neuroscience top 10%
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- Extracellular vesicles in disease 10
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- Spinal Fractures and Fixation Techniques 6
- Cervical and Thoracic Myelopathy 4
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- Autophagy in Disease and Therapy 4
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- Medical Imaging and Analysis 3
- Co-authors
- Yuluo RongWeihua CaiGuoyong YinJiaxing WangYongjun LuoWei LiuJian ChenFanqi Kong
- Journals
- Journal of Neuroscience (1 paper)The FASEB Journal (1 paper)ACS Applied Materials & Interfaces (1 paper)
- Partner nations
- ChinaSouth Korea
In The Last Decade
Pengyu Tang
30 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Pathology and Forensic Medicine 421
- Cancer Research 304
- Neurology 151
- Genetics 187
- Developmental Neuroscience 67
Countries citing papers authored by Pengyu Tang
This map shows the geographic impact of Pengyu 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 Pengyu Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengyu Tang more than expected).
Fields of papers citing papers by Pengyu Tang
This network shows the impact of papers produced by Pengyu 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 Pengyu Tang. The network helps show where Pengyu Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pengyu 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 | 2025 | 0 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 18 | |
| 5 | 2023 | 20 | |
| 6 | 2023 | 18 | |
| 7 | 2022 | 74 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 1 | |
| 11 | Neural stem cell-derived small extracellular vesicles attenuate apoptosis and neuroinflammation after traumatic spinal cord injury by activating autophagybreakdown → | 2019 | 253 |
| 12 | 2019 | 44 | |
| 13 | 2019 | 226 | |
| 14 | 2018 | 10 | |
| 15 | 2018 | 11 | |
| 16 | 2018 | 8 | |
| 17 | 2018 | 34 | |
| 18 | 2018 | 18 | |
| 19 | 2017 | 11 | |
| 20 | 2017 | 3 |
About Pengyu Tang
Pengyu Tang is a scholar working on Pathology and Forensic Medicine, Neurology and Molecular Biology, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (10 papers), Spinal Cord Injury Research (10 papers), Spine and Intervertebral Disc Pathology (9 papers), Spinal Fractures and Fixation Techniques (6 papers), Cervical and Thoracic Myelopathy (4 papers), Autophagy in Disease and Therapy (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Medical Imaging and Analysis (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (421 citations), Cancer Research (304 citations) and Neurology (151 citations). Pengyu Tang has collaborated with scholars based in China and South Korea. Frequent co-authors include Yuluo Rong, Weihua Cai, Guoyong Yin, Jiaxing Wang, Yongjun Luo, Wei Liu, Jian Chen, Fanqi Kong, Jin Fan and Chengyue Ji. Their work appears in journals such as Journal of Neuroscience, The FASEB Journal and ACS Applied Materials & Interfaces.
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.