Xu Liu
- Cellular and Molecular Neuroscience top 0.5%
- Cognitive Neuroscience top 1%
- Molecular Biology
- Endocrine and Autonomic Systems top 2%
- Electrical and Electronic Engineering
- Co-authors
- Susumu TonegawaSteve RamirezRoger L. RedondoPetti T. PangCorey B. PuryearKarl DeisserothArvind GovindarajanRonald L. Davis
- Topics
- Neuroscience and Neural Engineering (22 papers)Advanced Memory and Neural Computing (17 papers)Analog and Mixed-Signal Circuit Design (13 papers)
- Journals
- NatureNeuronJournal of Neuroscience
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Xu Liu
67 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Cellular and Molecular Neuroscience 2.1k
- Cognitive Neuroscience 1.5k
- Molecular Biology 448
- Endocrine and Autonomic Systems 342
- Electrical and Electronic Engineering 281
Countries citing papers authored by Xu Liu
This map shows the geographic impact of Xu Liu'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 Xu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xu Liu more than expected).
Fields of papers citing papers by Xu Liu
This network shows the impact of papers produced by Xu Liu. 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 Xu Liu. The network helps show where Xu Liu may publish in the future.
Co-authorship network of co-authors of Xu Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xu Liu. A scholar is included among the top collaborators of Xu Liu 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 Xu Liu. Xu Liu 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 | 0 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 9 | |
| 13 | Memory Engram Cells Have Come of Agebreakdown → | 390 |
| 14 | 10 | |
| 15 | 12 | |
| 16 | 45 | |
| 17 | 9 | |
| 18 | PDF Cells Are a GABA-Responsive Wake-Promoting Component of the Drosophila Sleep Circuitbreakdown → | 304 |
| 19 | 121 | |
| 20 | 29 |
About Xu Liu
Xu Liu is a scholar working on Cellular and Molecular Neuroscience, Bioengineering and Fluid Flow and Transfer Processes, having authored 77 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (22 papers), Advanced Memory and Neural Computing (17 papers) and Analog and Mixed-Signal Circuit Design (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.1k citations), Cognitive Neuroscience (1.5k citations) and Endocrine and Autonomic Systems (342 citations). Xu Liu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Susumu Tonegawa, Steve Ramirez, Roger L. Redondo, Petti T. Pang, Corey B. Puryear, Karl Deisseroth, Arvind Govindarajan, Ronald L. Davis, Joshua Kim and William C. Krause. Their work appears in journals such as Nature, Neuron and Journal of 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.