Junhua Qi
Impact in
- Neurology top 10%
- Barrier Structure and Function Studies
- Neuroinflammation and Neurodegeneration Mechanisms
- Rehabilitation top 10%
- Wound Healing and Treatments
Papers in
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- S100 Proteins and Annexins 1
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- T-cell and B-cell Immunology 1
- Co-authors
- Hong-ying Mo (1 shared paper)Hui Chen (3 shared papers)Alexei Verkhratsky (2 shared papers)Weihao Zheng (1 shared paper)Lihan Shen (1 shared paper)Yixun Su (2 shared papers)Chenju Yi (3 shared papers)Xiaomin Huang (3 shared papers)
- Journals
- Cell Death and Disease (2 papers)International Journal of Biological Macromolecules (1 paper)Genes and Immunity (1 paper)Journal of Dermatological Science (1 paper)Oxidative Medicine and Cellular Longevity (1 paper)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Junhua Qi
16 papers receiving 472 citations
Peers
Comparison fields: 5 of 93
- Neurology 65
- Rehabilitation 37
- Aquatic Science 42
- Biological Psychiatry 8
- Critical Care and Intensive Care Medicine 10
Countries citing papers authored by Junhua Qi
This map shows the geographic impact of Junhua Qi'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 Junhua Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhua Qi more than expected).
Fields of papers citing papers by Junhua Qi
This network shows the impact of papers produced by Junhua Qi. 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 Junhua Qi. The network helps show where Junhua Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Junhua Qi, 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 | 145 | |
| 2 | 2009 | 90 | |
| 3 | 2015 | 88 | |
| 4 | 2019 | 51 | |
| 5 | 2020 | 23 | |
| 6 | 2024 | 12 | |
| 7 | 2015 | 12 | |
| 8 | 2024 | 10 | |
| 9 | 2015 | 10 | |
| 10 | 2020 | 8 | |
| 11 | 2015 | 8 | |
| 12 | 2020 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2025 | 2 |
About Junhua Qi
Junhua Qi is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Rheumatology, having authored 16 papers that have together received 476 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (2 papers), Barrier Structure and Function Studies (2 papers), Cell Adhesion Molecules Research (2 papers), Folate and B Vitamins Research (1 paper), S100 Proteins and Annexins (1 paper), Wound Healing and Treatments (1 paper), Respiratory Support and Mechanisms (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Neurology (65 citations), Rehabilitation (37 citations), Aquatic Science (42 citations), Biological Psychiatry (8 citations) and Critical Care and Intensive Care Medicine (10 citations). Junhua Qi has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Hong-ying Mo, Hui Chen, Alexei Verkhratsky, Weihao Zheng, Lihan Shen, Yixun Su, Chenju Yi, Xiaomin Huang, Qi Wang and Lin Cai. Their work appears in journals such as Cell Death and Disease, International Journal of Biological Macromolecules, Genes and Immunity, Journal of Dermatological Science and Oxidative Medicine and Cellular Longevity.
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.