Xiuyun Liu
- Molecular Biology top 5%
- Neurology top 1%
- Epidemiology top 5%
- Physiology top 2%
- Oncology top 5%
- Co-authors
- Gérard KarsentyFlorent ElefteriouShu TakedaDawna L. ArmstrongKeith L. ParkerLiping ZhaoRégis LevasseurPatricia Ducy
- Topics
- Traumatic Brain Injury and Neurovascular Disturbances (51 papers)Cerebrospinal fluid and hydrocephalus (16 papers)Optical Imaging and Spectroscopy Techniques (15 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiuyun Liu
210 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Molecular Biology 1.5k
- Neurology 1.2k
- Epidemiology 967
- Physiology 819
- Oncology 694
Countries citing papers authored by Xiuyun Liu
This map shows the geographic impact of Xiuyun 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 Xiuyun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiuyun Liu more than expected).
Fields of papers citing papers by Xiuyun Liu
This network shows the impact of papers produced by Xiuyun 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 Xiuyun Liu. The network helps show where Xiuyun Liu may publish in the future.
Co-authorship network of co-authors of Xiuyun Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiuyun Liu. A scholar is included among the top collaborators of Xiuyun 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 Xiuyun Liu. Xiuyun 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 | 2 | |
| 4 | 5 | |
| 5 | 20 | |
| 6 | 0 | |
| 7 | NKG2D-CAR T cells eliminate senescent cells in aged mice and nonhuman primatesbreakdown → | 114 |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 115 | |
| 12 | 8 | |
| 13 | 6 | |
| 14 | 10 | |
| 15 | 22 | |
| 16 | Application value of ICU nursing scoring system in nurse allocation. | 1 |
| 17 | 1 | |
| 18 | [Comparison of histopathologic changes and expression of biomarkers in breast carcinoma before and after neoadjuvant chemotherapy]. | 5 |
| 19 | Fhit protein expression in lung cancer studied by high-throughput tissue microarray. | 3 |
| 20 | Heavy Metals Pollution and Relevant Ecological Risk Evaluation in Wetlands of Liaodong Gulf Area | 3 |
About Xiuyun Liu
Xiuyun Liu is a scholar working on Neurology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 223 papers that have together received 5.9k indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (51 papers), Cerebrospinal fluid and hydrocephalus (16 papers) and Optical Imaging and Spectroscopy Techniques (15 papers). The work is most often cited by research in Endocrine and Autonomic Systems (587 citations), Neurology (1.2k citations) and Orthopedics and Sports Medicine (600 citations). Xiuyun Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Gérard Karsenty, Florent Elefteriou, Shu Takeda, Dawna L. Armstrong, Keith L. Parker, Liping Zhao, Régis Levasseur, Patricia Ducy, Marek Czosnyka and Michael W. Starbuck. Their work appears in journals such as Nature, Cell and SHILAP Revista de lepidopterología.
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.