Leilei Gong
- Developmental Neuroscience top 5%
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- Nerve injury and regeneration 13
- Rehabilitation top 5%
- Wound Healing and Treatments 3
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- MicroRNA in disease regulation 4
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 4
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- Muscle Physiology and Disorders 4
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- Traditional Chinese Medicine Analysis 4
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- Electrospun Nanofibers in Biomedical Applications 4
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- Tissue Engineering and Regenerative Medicine 3
- Journals
- PLoS ONE (4 papers)Scientific Reports (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Leilei Gong
47 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 94
- Developmental Neuroscience 137
- Cellular and Molecular Neuroscience 370
- Rehabilitation 75
- Cancer Research 156
- Neurology 76
Countries citing papers authored by Leilei Gong
This map shows the geographic impact of Leilei Gong'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 Leilei Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leilei Gong more than expected).
Fields of papers citing papers by Leilei Gong
This network shows the impact of papers produced by Leilei Gong. 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 Leilei Gong. The network helps show where Leilei Gong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leilei Gong, 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 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 13 | |
| 7 | 2024 | 10 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 60 | |
| 11 | 2021 | 13 | |
| 12 | Process of pharmacology of Przewalskia Tangutica Maxim | 2019 | 1 |
| 13 | 2017 | 16 | |
| 14 | 2017 | 20 | |
| 15 | 2016 | 2 | |
| 16 | 2016 | 14 | |
| 17 | 2016 | 55 | |
| 18 | 2015 | 26 | |
| 19 | 2015 | 6 | |
| 20 | Lipid content and fatty acid composition in hepatopancreas and ovaries of Procambrus clarkii during ovarian maturation | 2010 | 5 |
About Leilei Gong
Leilei Gong is a scholar working on Complementary and alternative medicine, Neurology and Cellular and Molecular Neuroscience, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nerve injury and regeneration (13 papers), Muscle Physiology and Disorders (4 papers), Traditional Chinese Medicine Analysis (4 papers), MicroRNA in disease regulation (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Wound Healing and Treatments (3 papers). The work is most often cited by research in Developmental Neuroscience (137 citations), Cellular and Molecular Neuroscience (370 citations) and Rehabilitation (75 citations). Leilei Gong has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiaosong Gu, Bin Yu, Songlin Zhou, Sheng Yi, Shiying Li, Qianqian Chen, Dingding Shen, Xinghui Wang, Hualin Sun and Fei Ding. Their work appears in journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research 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.