Xiaolin Ai
Impact in
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- Intracerebral and Subarachnoid Hemorrhage Research
- Neurosurgical Procedures and Complications
- Intracranial Aneurysms: Treatment and Complications
- Vascular Malformations Diagnosis and Treatment
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- Advanced Cellulose Research Studies
Papers in
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- Intracerebral and Subarachnoid Hemorrhage Research 5
- Vascular Malformations Diagnosis and Treatment 4
- Intracranial Aneurysms: Treatment and Complications 4
- Neurosurgical Procedures and Complications 3
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- Acute Ischemic Stroke Management 3
- Co-authors
- Zengpanpan Ye (14 shared papers)Chao You (4 shared papers)Yandan Chen (2 shared papers)Mingjie Huang (2 shared papers)Biao Huang (2 shared papers)Fang Fang (3 shared papers)Zongan Liang (1 shared paper)Yuenan Ni (1 shared paper)
- Journals
- Medicine (7 papers)Journal of Nanoscience and Nanotechnology (2 papers)Oncotarget (2 papers)Scientific Reports (1 paper)RSC Advances (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaolin Ai
27 papers receiving 371 citations
Peers
Comparison fields: 5 of 90
- Neurology 88
- Biomaterials 61
- Oncology 60
- Biological Psychiatry 5
- Epidemiology 66
Countries citing papers authored by Xiaolin Ai
This map shows the geographic impact of Xiaolin Ai'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 Xiaolin Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Ai more than expected).
Fields of papers citing papers by Xiaolin Ai
This network shows the impact of papers produced by Xiaolin Ai. 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 Xiaolin Ai. The network helps show where Xiaolin Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolin Ai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 48 | |
| 2 | 2018 | 40 | |
| 3 | 2017 | 34 | |
| 4 | 2019 | 34 | |
| 5 | 2017 | 30 | |
| 6 | 2017 | 22 | |
| 7 | 2015 | 22 | |
| 8 | 2021 | 18 | |
| 9 | 2022 | 16 | |
| 10 | 2019 | 16 | |
| 11 | 2017 | 15 | |
| 12 | 2020 | 12 | |
| 13 | 2017 | 11 | |
| 14 | 2022 | 10 | |
| 15 | 2023 | 7 | |
| 16 | 2017 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2016 | 4 | |
| 20 | 2022 | 3 |
About Xiaolin Ai
Xiaolin Ai is a scholar working on Neurology, Epidemiology, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 374 indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Vascular Malformations Diagnosis and Treatment (4 papers), Intracranial Aneurysms: Treatment and Complications (4 papers), Acute Ischemic Stroke Management (3 papers), Neurosurgical Procedures and Complications (3 papers), Immune cells in cancer (3 papers), Phagocytosis and Immune Regulation (2 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). The work is most often cited by research in Neurology (88 citations), Biomaterials (61 citations), Oncology (60 citations), Biological Psychiatry (5 citations) and Epidemiology (66 citations). Xiaolin Ai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zengpanpan Ye, Chao You, Yandan Chen, Mingjie Huang, Biao Huang, Fang Fang, Zongan Liang, Yuenan Ni, Xin Hu and Wu Li. Their work appears in journals such as Medicine, Journal of Nanoscience and Nanotechnology, Oncotarget, Scientific Reports and RSC Advances.
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.