Lida Du
Impact in
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- Traditional Chinese Medicine Analysis
- Sensory Systems top 10%
- Ion Channels and Receptors
Papers in
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- Parkinson's Disease Mechanisms and Treatments 6
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- Traditional Chinese Medicine Analysis 4
- Co-authors
- Guanhua Du (12 shared papers)Shoubao Wang (5 shared papers)Hong‐Shuo Sun (3 shared papers)Wing‐Ho Yung (5 shared papers)Junke Song (2 shared papers)Ya Ke (5 shared papers)Linhao Xu (3 shared papers)Lan Sun (2 shared papers)
- Journals
- Pharmacology & Therapeutics (4 papers)Ageing Research Reviews (3 papers)Acta Pharmacologica Sinica (2 papers)Molecular Neurobiology (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Lida Du
32 papers receiving 647 citations
Peers
Comparison fields: 5 of 85
- Complementary and alternative medicine 80
- Sensory Systems 35
- Neurology 52
- Physiology 94
- Biochemistry 24
Countries citing papers authored by Lida Du
This map shows the geographic impact of Lida Du'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 Lida Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lida Du more than expected).
Fields of papers citing papers by Lida Du
This network shows the impact of papers produced by Lida Du. 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 Lida Du. The network helps show where Lida Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Lida Du, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 78 | |
| 2 | 2016 | 61 | |
| 3 | 2020 | 61 | |
| 4 | 2020 | 57 | |
| 5 | 2020 | 44 | |
| 6 | 2021 | 35 | |
| 7 | 2012 | 34 | |
| 8 | 2025 | 34 | |
| 9 | 2016 | 31 | |
| 10 | 2023 | 31 | |
| 11 | 2024 | 22 | |
| 12 | 2019 | 20 | |
| 13 | 2025 | 20 | |
| 14 | 2023 | 19 | |
| 15 | 2023 | 14 | |
| 16 | 2023 | 14 | |
| 17 | 2021 | 13 | |
| 18 | 2023 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2023 | 9 |
About Lida Du
Lida Du is a scholar working on Neurology, Complementary and alternative medicine, Physiology, Neurology and Pharmacology, having authored 33 papers that have together received 663 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Alzheimer's disease research and treatments (4 papers), Phytochemistry and Biological Activities (4 papers), Traditional Chinese Medicine Analysis (4 papers), Alkaloids: synthesis and pharmacology (2 papers), interferon and immune responses (2 papers), Neonatal and fetal brain pathology (2 papers) and Acute Ischemic Stroke Management (2 papers). The work is most often cited by research in Complementary and alternative medicine (80 citations), Sensory Systems (35 citations), Neurology (52 citations), Physiology (94 citations) and Biochemistry (24 citations). Lida Du has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Guanhua Du, Shoubao Wang, Hong‐Shuo Sun, Wing‐Ho Yung, Junke Song, Ya Ke, Linhao Xu, Lan Sun, Lian‐Hua Fang and Tianyi Yuan. Their work appears in journals such as Pharmacology & Therapeutics, Ageing Research Reviews, Acta Pharmacologica Sinica, Molecular Neurobiology and Frontiers in Pharmacology.
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.