Danli Lu
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
Papers in
-
- Inflammasome and immune disorders 5
- Immunology 11
- Immune Response and Inflammation 4
- Immune cells in cancer 4
- Co-authors
- Zhengqi Lu (16 shared papers)Mengyan Hu (12 shared papers)Wei Cai (10 shared papers)Yinyao Lin (3 shared papers)Bingjun Zhang (4 shared papers)Tiemei Li (7 shared papers)Shishi Shen (6 shared papers)Shisi Wang (9 shared papers)
- Journals
- CNS Neuroscience & Therapeutics (3 papers)BMC Neurology (2 papers)International Immunopharmacology (2 papers)Cytokine (2 papers)Autophagy (1 paper)
- Partner nations
- ChinaSouth KoreaUnited Kingdom
In The Last Decade
Danli Lu
21 papers receiving 295 citations
Peers
Comparison fields: 5 of 70
- Neurology 100
- Biological Psychiatry 12
- Immunology 89
- Developmental Neuroscience 15
- Ophthalmology 18
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 | 60 | |
| 2 | 2019 | 49 | |
| 3 | 2023 | 46 | |
| 4 | 2021 | 31 | |
| 5 | 2022 | 16 | |
| 6 | 2021 | 14 | |
| 7 | 2021 | 13 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2022 | 6 | |
| 13 | 2024 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2022 | 2 |
About Danli Lu
Danli Lu is a scholar working on Molecular Biology, Immunology, Neurology, Cellular and Molecular Neuroscience and Neurology, having authored 23 papers that have together received 297 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Inflammasome and immune disorders (5 papers), Neurological Disease Mechanisms and Treatments (4 papers), Immune Response and Inflammation (4 papers), Immune cells in cancer (4 papers), Ocular Infections and Treatments (3 papers), Cerebrospinal fluid and hydrocephalus (2 papers) and Intracerebral and Subarachnoid Hemorrhage Research (2 papers). The work is most often cited by research in Neurology (100 citations), Biological Psychiatry (12 citations), Immunology (89 citations), Developmental Neuroscience (15 citations) and Ophthalmology (18 citations). Danli Lu has collaborated with scholars based in China, South Korea and United Kingdom. Frequent co-authors include Zhengqi Lu, Mengyan Hu, Wei Cai, Yinyao Lin, Bingjun Zhang, Tiemei Li, Shishi Shen, Shisi Wang, Wei Qiu and Xiaomeng Chen. Their work appears in journals such as CNS Neuroscience & Therapeutics, BMC Neurology, International Immunopharmacology, Cytokine and Autophagy.
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.