Dan-Hua Lu

625 total citations
4 papers, 150 citations indexed

About

Dan-Hua Lu is a scholar working on Neurology, Epidemiology and Molecular Biology. According to data from OpenAlex, Dan-Hua Lu has authored 4 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Neurology, 2 papers in Epidemiology and 1 paper in Molecular Biology. Recurrent topics in Dan-Hua Lu's work include Parkinson's Disease Mechanisms and Treatments (3 papers), interferon and immune responses (1 paper) and Influenza Virus Research Studies (1 paper). Dan-Hua Lu is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (3 papers), interferon and immune responses (1 paper) and Influenza Virus Research Studies (1 paper). Dan-Hua Lu collaborates with scholars based in China, Macao and Thailand. Dan-Hua Lu's co-authors include Rong‐Rong He, Hiroshi Kurihara, Wei Bi, Wen‐Jun Duan, Yi-Fang Li, Yifang Li, Ming‐Hai Pan, Haizhi Liu, Fanqin Wei and Chang‐Yu Yan and has published in prestigious journals such as Journal of Ethnopharmacology, Frontiers in Pharmacology and Phytomedicine.

In The Last Decade

Dan-Hua Lu

4 papers receiving 149 citations

Peers

Dan-Hua Lu
Chuan Li China
Li Siyuan China
Jiaqi Sun China
Sumita Raha United States
Chenjian Gu United States
Dan-Hua Lu
Citations per year, relative to Dan-Hua Lu Dan-Hua Lu (= 1×) peers Ming‐Hai Pan

Countries citing papers authored by Dan-Hua Lu

Since Specialization
Citations

This map shows the geographic impact of Dan-Hua 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 Dan-Hua Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan-Hua Lu more than expected).

Fields of papers citing papers by Dan-Hua Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan-Hua 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 Dan-Hua Lu. The network helps show where Dan-Hua Lu may publish in the future.

Co-authorship network of co-authors of Dan-Hua Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Dan-Hua Lu. A scholar is included among the top collaborators of Dan-Hua Lu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan-Hua Lu. Dan-Hua Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Jiang, Yingnan, Dan-Hua Lu, Ming‐Hai Pan, et al.. (2020). Tianma Gouteng granules decreases the susceptibility of Parkinson's disease by inhibiting ALOX15-mediated lipid peroxidation. Journal of Ethnopharmacology. 256. 112824–112824. 25 indexed citations
2.
Guo, Yulin, Wen‐Jun Duan, Dan-Hua Lu, et al.. (2020). Autophagy-dependent removal of α-synuclein: a novel mechanism of GM1 ganglioside neuroprotection against Parkinson’s disease. Acta Pharmacologica Sinica. 42(4). 518–528. 34 indexed citations
3.
Duan, Wen‐Jun, Lei Liang, Ming‐Hai Pan, et al.. (2020). Theacrine, a purine alkaloid from kucha, protects against Parkinson's disease through SIRT3 activation. Phytomedicine. 77. 153281–153281. 42 indexed citations
4.
Luo, Zhuo, Lifang Liu, Xiaohua Wang, et al.. (2019). Epigoitrin, an Alkaloid From Isatis indigotica, Reduces H1N1 Infection in Stress-Induced Susceptible Model in vivo and in vitro. Frontiers in Pharmacology. 10. 78–78. 49 indexed citations

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.

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2026