Danli Lu
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Intracerebral and Subarachnoid Hemorrhage Research
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Cerebrovascular and genetic disorders 2
- Neurological Disease Mechanisms and Treatments 2
-
- Immune cells in cancer 4
- Immune Response and Inflammation 2
- Co-authors
- Zhengqi Lu (16 shared papers)Mengyan Hu (12 shared papers)Wei Cai (10 shared papers)Bingjun Zhang (4 shared papers)Yinyao Lin (3 shared papers)Tiemei Li (7 shared papers)Shisi Wang (9 shared papers)Shishi Shen (6 shared papers)
- Journals
- CNS Neuroscience & Therapeutics (3 papers)BMC Neurology (2 papers)Cytokine (2 papers)International Immunopharmacology (2 papers)Nature Communications (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Danli Lu
24 papers receiving 479 citations
Peers
Comparison fields: 5 of 75
- Neurology 122
- Biological Psychiatry 18
- Immunology 92
- Developmental Neuroscience 17
- Neurology 40
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 74 | |
| 2 | 2023 | 68 | |
| 3 | 2023 | 59 | |
| 4 | 2019 | 56 | |
| 5 | 2021 | 41 | |
| 6 | 2021 | 33 | |
| 7 | 2022 | 21 | |
| 8 | 2021 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2024 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2025 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2025 | 6 | |
| 20 | 2021 | 5 |
About Danli Lu
Danli Lu is a scholar working on Neurology, Immunology, Molecular Biology, Neurology and Infectious Diseases, having authored 26 papers that have together received 482 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), Cerebrovascular and genetic disorders (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Extracellular vesicles in disease (2 papers), Immune Response and Inflammation (2 papers) and Multiple Sclerosis Research Studies (1 paper). The work is most often cited by research in Neurology (122 citations), Biological Psychiatry (18 citations), Immunology (92 citations), Developmental Neuroscience (17 citations) and Neurology (40 citations). Danli Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhengqi Lu, Mengyan Hu, Wei Cai, Bingjun Zhang, Yinyao Lin, Tiemei Li, Shisi Wang, Shishi Shen, Chunyi Li and Wei Qiu. Their work appears in journals such as CNS Neuroscience & Therapeutics, BMC Neurology, Cytokine, International Immunopharmacology and Nature 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.