Xiaoxia Liu
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- Pituitary Gland Disorders and Treatments 5
- Diabetes Management and Research 4
- Biological Psychiatry top 10%
- Neurology top 10%
- Vascular Malformations Diagnosis and Treatment 8
- Botulinum Toxin and Related Neurological Disorders 5
- Intracranial Aneurysms: Treatment and Complications 4
- Physiology top 10%
- Pain Mechanisms and Treatments 12
- Genetics top 10%
- Glioma Diagnosis and Treatment 8
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- Meningioma and schwannoma management 8
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaoxia Liu
82 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 139
- Endocrinology, Diabetes and Metabolism 304
- Biological Psychiatry 31
- Neurology 174
- Physiology 272
- Genetics 84
Countries citing papers authored by Xiaoxia Liu
This map shows the geographic impact of Xiaoxia 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 Xiaoxia Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxia Liu more than expected).
Fields of papers citing papers by Xiaoxia Liu
This network shows the impact of papers produced by Xiaoxia 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 Xiaoxia Liu. The network helps show where Xiaoxia Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoxia Liu, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 5 | |
| 9 | 2019 | 26 | |
| 10 | 2017 | 46 | |
| 11 | 2017 | 16 | |
| 12 | 2016 | 6 | |
| 13 | 2015 | 16 | |
| 14 | An epidemiological investigation on infectious diarrhea outbreak caused by norovirus | 2014 | 1 |
| 15 | 2014 | 2 | |
| 16 | 2014 | 11 | |
| 17 | 2014 | 36 | |
| 18 | 2012 | 23 | |
| 19 | Case-control Study on Influencing Factors of Injury Among College Students in Wuhan | 2010 | 1 |
| 20 | Analysis on the Influencing Factors of Fall Injury for Kindergarten Children in Wuhan City | 2009 | 1 |
About Xiaoxia Liu
Xiaoxia Liu is a scholar working on Endocrinology, Diabetes and Metabolism, Neurology and Physiology, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (12 papers), Glioma Diagnosis and Treatment (8 papers), Vascular Malformations Diagnosis and Treatment (8 papers), Meningioma and schwannoma management (8 papers), Botulinum Toxin and Related Neurological Disorders (5 papers), Pituitary Gland Disorders and Treatments (5 papers), Diabetes Management and Research (4 papers) and Intracranial Aneurysms: Treatment and Complications (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (304 citations), Biological Psychiatry (31 citations) and Neurology (174 citations). Xiaoxia Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaoming Zhu, Yiming Li, Hongying Ye, Qing Miao, Bin Lü, Shuo Zhang, Hangping Zheng, Lijin Ji, Jiazhong Dai and Enmin Wang. Their work appears in journals such as Diabetes, Scientific Reports and Journal of Materials Chemistry A.
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.