Xi Lu
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Neurology top 5%
- Neurology top 5%
- Co-authors
- Frank C. TortellaJed A. HartingsMichael L. RolliXuefeng WangGang YuDaohai YuBarbara S. SlusherKrystyna M. Wozniak
- Topics
- Neuroscience and Neuropharmacology Research (14 papers)Neuroinflammation and Neurodegeneration Mechanisms (4 papers)Mitochondrial Function and Pathology (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Medicine
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Xi Lu
45 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 707
- Cellular and Molecular Neuroscience 532
- Physiology 252
- Neurology 203
- Neurology 199
Countries citing papers authored by Xi Lu
This map shows the geographic impact of Xi 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 Xi Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Lu more than expected).
Fields of papers citing papers by Xi Lu
This network shows the impact of papers produced by Xi 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 Xi Lu. The network helps show where Xi Lu may publish in the future.
Co-authorship network of co-authors of Xi Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Xi Lu. A scholar is included among the top collaborators of Xi 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 Xi Lu. Xi Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | Environmental Enrichment Protects Against Sepsis-Associated Encephalopathy-Induced Learning and Memory Deficits by Enhancing the Synthesis and Release of Vasopressin in the Supraoptic Nucleus | 6 |
| 5 | 60 | |
| 6 | 22 | |
| 7 | 7 | |
| 8 | 14 | |
| 9 | 16 | |
| 10 | 26 | |
| 11 | 49 | |
| 12 | 34 | |
| 13 | 89 | |
| 14 | 58 | |
| 15 | 38 | |
| 16 | 78 | |
| 17 | 3 | |
| 18 | 16 | |
| 19 | 14 | |
| 20 | 114 |
About Xi Lu
Xi Lu is a scholar working on Cellular and Molecular Neuroscience, Neurology and Developmental Neuroscience, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (532 citations), Neurology (203 citations) and Developmental Neuroscience (67 citations). Xi Lu has collaborated with scholars based in China, United States and France. Frequent co-authors include Frank C. Tortella, Jed A. Hartings, Michael L. Rolli, Xuefeng Wang, Gang Yu, Daohai Yu, Barbara S. Slusher, Krystyna M. Wozniak, Rongqin Li and Xixin Yan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.
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.