Danli Lu
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
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- Tryptophan and brain disorders
Papers in
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- Neuroinflammation and Neurodegeneration Mechanisms 7
- Neurological Disease Mechanisms and Treatments 2
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- Inflammasome and immune disorders 3
- Extracellular vesicles in disease 2
- Co-authors
- Zhengqi Lu (16 shared papers)Wei Cai (10 shared papers)Mengyan Hu (12 shared papers)Bingjun Zhang (4 shared papers)Yinyao Lin (3 shared papers)Tiemei Li (7 shared papers)Shishi Shen (6 shared papers)Shisi Wang (9 shared papers)
- Journals
- CNS Neuroscience & Therapeutics (3 papers)International Immunopharmacology (2 papers)BMC Neurology (2 papers)Cytokine (2 papers)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Danli Lu
22 papers receiving 335 citations
Peers
Comparison fields: 5 of 67
- Neurology 93
- Biological Psychiatry 14
- Immunology 80
- Developmental Neuroscience 14
- Ophthalmology 17
Countries citing papers authored by Danli Lu
This map shows the geographic impact of Danli Lu'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 Danli Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danli Lu more than expected).
Fields of papers citing papers by Danli Lu
This network shows the impact of papers produced by Danli Lu. 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 Danli Lu. The network helps show where Danli Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Danli Lu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 62 | |
| 2 | 2019 | 54 | |
| 3 | 2023 | 52 | |
| 4 | 2021 | 35 | |
| 5 | 2022 | 20 | |
| 6 | 2021 | 15 | |
| 7 | 2021 | 14 | |
| 8 | 2022 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2025 | 4 | |
| 18 | 2025 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2023 | 3 |
About Danli Lu
Danli Lu is a scholar working on Neurology, Molecular Biology, Immunology, Cellular and Molecular Neuroscience and Epidemiology, having authored 23 papers that have together received 337 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Immune cells in cancer (4 papers), Inflammasome and immune disorders (3 papers), Neurological Disease Mechanisms and Treatments (2 papers), Immune Response and Inflammation (2 papers), Extracellular vesicles in disease (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Neurology (93 citations), Biological Psychiatry (14 citations), Immunology (80 citations), Developmental Neuroscience (14 citations) and Ophthalmology (17 citations). Danli Lu has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Zhengqi Lu, Wei Cai, Mengyan Hu, Bingjun Zhang, Yinyao Lin, Tiemei Li, Shishi Shen, Shisi Wang, Xiaomeng Chen and Limei Wang. Their work appears in journals such as CNS Neuroscience & Therapeutics, International Immunopharmacology, BMC Neurology, Cytokine and Frontiers in Immunology.
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.