Jinxia Lu
Impact in
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- Alzheimer's disease research and treatments
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- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Protein Structure and Dynamics 4
- Heat shock proteins research 3
- Ubiquitin and proteasome pathways 1
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- Alzheimer's disease research and treatments 3
- Co-authors
- Dan Li (6 shared papers)Cong Liu (6 shared papers)Shengnan Zhang (6 shared papers)Zhenying Liu (4 shared papers)Chuchu Wang (4 shared papers)Lin He (2 shared papers)Zhijun Liu (2 shared papers)Chunyu Zhao (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Water (2 papers)Environmental Pollution (1 paper)Nature Structural & Molecular Biology (1 paper)Frontiers in Molecular Neuroscience (1 paper)
- Partner nations
- ChinaThailandUnited States
In The Last Decade
Jinxia Lu
14 papers receiving 324 citations
Peers
Comparison fields: 5 of 66
- Physiology 106
- Neurology 46
- Molecular Biology 209
- Cell Biology 46
- Neurology 17
Countries citing papers authored by Jinxia Lu
This map shows the geographic impact of Jinxia 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 Jinxia Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinxia Lu more than expected).
Fields of papers citing papers by Jinxia Lu
This network shows the impact of papers produced by Jinxia 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 Jinxia Lu. The network helps show where Jinxia Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinxia 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 124 | |
| 2 | 2019 | 62 | |
| 3 | 2020 | 59 | |
| 4 | 2018 | 25 | |
| 5 | 2019 | 17 | |
| 6 | 2022 | 16 | |
| 7 | 2025 | 4 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 4 | |
| 10 | 2022 | 3 | |
| 11 | [Study on the influence of enzymatic digestion upon tumor-infiltrating lymphocytes]. | 1994 | 3 |
| 12 | 2024 | 2 | |
| 13 | 2017 | 2 | |
| 14 | 2020 | 1 | |
| 15 | 2023 | 1 |
About Jinxia Lu
Jinxia Lu is a scholar working on Molecular Biology, Physiology, Ecology, Computational Theory and Mathematics and Environmental Chemistry, having authored 15 papers that have together received 327 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Alzheimer's disease research and treatments (3 papers), Heat shock proteins research (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Computational Drug Discovery Methods (2 papers), Microbial Community Ecology and Physiology (2 papers), Ubiquitin and proteasome pathways (1 paper) and Tailings Management and Properties (1 paper). The work is most often cited by research in Physiology (106 citations), Neurology (46 citations), Molecular Biology (209 citations), Cell Biology (46 citations) and Neurology (17 citations). Jinxia Lu has collaborated with scholars based in China, Thailand and United States. Frequent co-authors include Dan Li, Cong Liu, Shengnan Zhang, Zhenying Liu, Chuchu Wang, Lin He, Zhijun Liu, Chunyu Zhao, Xinrui Gui and Yilun Tong. Their work appears in journals such as Journal of Biological Chemistry, Water, Environmental Pollution, Nature Structural & Molecular Biology and Frontiers in Molecular Neuroscience.
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.