Rubing Shi
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Barrier Structure and Function Studies
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
- Neurology 15
- Neuroinflammation and Neurodegeneration Mechanisms 14
- Neurological Disease Mechanisms and Treatments 2
- Barrier Structure and Function Studies 2
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- Extracellular vesicles in disease 3
- Co-authors
- Zhijun Zhang (10 shared papers)Yongting Wang (9 shared papers)Yaohui Tang (13 shared papers)Muyassar Mamtilahun (6 shared papers)Chang Liu (6 shared papers)Guo‐Yuan Yang (11 shared papers)Guo-Yuan Yang (3 shared papers)Jiaji Pan (2 shared papers)
- Journals
- Theranostics (2 papers)Journal of Cerebral Blood Flow & Metabolism (2 papers)Aging and Disease (2 papers)Neuroscience (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Rubing Shi
18 papers receiving 710 citations
Peers
Comparison fields: 5 of 82
- Neurology 427
- Developmental Neuroscience 82
- Biological Psychiatry 29
- Immunology 130
- Cancer Research 80
Countries citing papers authored by Rubing Shi
This map shows the geographic impact of Rubing Shi'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 Rubing Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rubing Shi more than expected).
Fields of papers citing papers by Rubing Shi
This network shows the impact of papers produced by Rubing Shi. 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 Rubing Shi. The network helps show where Rubing Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Rubing Shi, 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 | 2021 | 155 | |
| 2 | 2019 | 140 | |
| 3 | 2022 | 82 | |
| 4 | 2019 | 48 | |
| 5 | 2015 | 43 | |
| 6 | 2022 | 40 | |
| 7 | 2023 | 35 | |
| 8 | 2020 | 33 | |
| 9 | 2019 | 29 | |
| 10 | 2021 | 24 | |
| 11 | 2022 | 20 | |
| 12 | 2020 | 15 | |
| 13 | 2021 | 15 | |
| 14 | 2022 | 15 | |
| 15 | 2024 | 10 | |
| 16 | 2023 | 7 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 |
About Rubing Shi
Rubing Shi is a scholar working on Neurology, Molecular Biology, Immunology, Cellular and Molecular Neuroscience and Physiology, having authored 19 papers that have together received 713 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (14 papers), MicroRNA in disease regulation (3 papers), Extracellular vesicles in disease (3 papers), Immune cells in cancer (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Alzheimer's disease research and treatments (2 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Barrier Structure and Function Studies (2 papers). The work is most often cited by research in Neurology (427 citations), Developmental Neuroscience (82 citations), Biological Psychiatry (29 citations), Immunology (130 citations) and Cancer Research (80 citations). Rubing Shi has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Zhijun Zhang, Yongting Wang, Yaohui Tang, Muyassar Mamtilahun, Chang Liu, Guo‐Yuan Yang, Guo-Yuan Yang, Jiaji Pan, Heng‐Li Tian and Jixian Wang. Their work appears in journals such as Theranostics, Journal of Cerebral Blood Flow & Metabolism, Aging and Disease, Neuroscience and Nature Communications.
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.