Minyi Lu
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Connexins and lens biology 2
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- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
- Co-authors
- Allen Taylor (4 shared papers)Jie Zan (7 shared papers)John R. Reddan (1 shared paper)Edward J. Dudek (1 shared paper)Fu Shang (1 shared paper)Kailun Zhong (5 shared papers)Hao Zhang (5 shared papers)Wen Tan (5 shared papers)
- Journals
- Journal of Stroke and Cerebrovascular Diseases (2 papers)Scientific Reports (1 paper)Applied Energy (1 paper)American Journal of Clinical Nutrition (1 paper)Journal of the American College of Nutrition (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Minyi Lu
20 papers receiving 480 citations
Peers
Comparison fields: 5 of 91
- Neurology 74
- Cancer Research 121
- Clinical Biochemistry 51
- Biochemistry 32
- Molecular Biology 262
Countries citing papers authored by Minyi Lu
This map shows the geographic impact of Minyi 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 Minyi Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minyi Lu more than expected).
Fields of papers citing papers by Minyi Lu
This network shows the impact of papers produced by Minyi 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 Minyi Lu. The network helps show where Minyi Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Minyi 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 122 | |
| 2 | 2020 | 81 | |
| 3 | 2019 | 58 | |
| 4 | 2018 | 27 | |
| 5 | 2005 | 25 | |
| 6 | 2018 | 24 | |
| 7 | 2005 | 22 | |
| 8 | 2017 | 22 | |
| 9 | 2018 | 21 | |
| 10 | 2020 | 20 | |
| 11 | 2020 | 19 | |
| 12 | 2020 | 11 | |
| 13 | 2007 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2025 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2025 | 2 | |
| 20 | Hydrogen Storage by Carbon Nanotubes | 2004 | 1 |
About Minyi Lu
Minyi Lu is a scholar working on Molecular Biology, Cancer Research, Neurology, Immunology and Materials Chemistry, having authored 22 papers that have together received 488 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Cancer-related molecular mechanisms research (4 papers), Catalytic Processes in Materials Science (4 papers), MicroRNA in disease regulation (3 papers), CO2 Reduction Techniques and Catalysts (2 papers), Catalysts for Methane Reforming (2 papers), Immune Cell Function and Interaction (2 papers) and Connexins and lens biology (2 papers). The work is most often cited by research in Neurology (74 citations), Cancer Research (121 citations), Clinical Biochemistry (51 citations), Biochemistry (32 citations) and Molecular Biology (262 citations). Minyi Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Allen Taylor, Jie Zan, John R. Reddan, Edward J. Dudek, Fu Shang, Kailun Zhong, Hao Zhang, Wen Tan, Jun Cai and Xiaoou Sun. Their work appears in journals such as Journal of Stroke and Cerebrovascular Diseases, Scientific Reports, Applied Energy, American Journal of Clinical Nutrition and Journal of the American College of Nutrition.
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.