Xi Long
Impact in
- Neurology top 5%
- Intracranial Aneurysms: Treatment and Complications
- Parkinson's Disease Mechanisms and Treatments
- Long-Term Effects of COVID-19
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
Papers in
- Neurology 12
- Long-Term Effects of COVID-19 7
- Intracranial Aneurysms: Treatment and Complications 3
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- Zhicheng Lin (14 shared papers)Nian Xiong (14 shared papers)Jinsha Huang (3 shared papers)Xiangquan Kong (3 shared papers)Chunnuan Chen (1 shared paper)Tao Wang (2 shared papers)Osamah Alwalid (4 shared papers)Jing Xiong (1 shared paper)
- Journals
- Radiology (2 papers)Solid-State Electronics (2 papers)iScience (2 papers)PLoS ONE (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xi Long
35 papers receiving 696 citations
Peers
Comparison fields: 5 of 112
- Neurology 246
- Internal Medicine 43
- Sensory Systems 33
- Health Informatics 8
- Neurology 42
Countries citing papers authored by Xi Long
This map shows the geographic impact of Xi Long'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 Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Long more than expected).
Fields of papers citing papers by Xi Long
This network shows the impact of papers produced by Xi Long. 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 Long. The network helps show where Xi Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Xi Long, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 168 | |
| 2 | 2020 | 88 | |
| 3 | 2015 | 71 | |
| 4 | 2019 | 34 | |
| 5 | 2020 | 30 | |
| 6 | 2020 | 29 | |
| 7 | 2021 | 26 | |
| 8 | 2021 | 24 | |
| 9 | 2015 | 23 | |
| 10 | 2011 | 21 | |
| 11 | 2020 | 20 | |
| 12 | 2020 | 19 | |
| 13 | 2023 | 19 | |
| 14 | 2020 | 16 | |
| 15 | 2017 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2014 | 10 | |
| 18 | 2020 | 10 | |
| 19 | 2020 | 10 | |
| 20 | 2022 | 8 |
About Xi Long
Xi Long is a scholar working on Neurology, Neurology, Radiology, Nuclear Medicine and Imaging, Internal Medicine and Sensory Systems, having authored 38 papers that have together received 712 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (7 papers), COVID-19 Clinical Research Studies (3 papers), Phase-change materials and chalcogenides (3 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Liquid Crystal Research Advancements (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Blood groups and transfusion (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Neurology (246 citations), Internal Medicine (43 citations), Sensory Systems (33 citations), Health Informatics (8 citations) and Neurology (42 citations). Xi Long has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhicheng Lin, Nian Xiong, Jinsha Huang, Xiangquan Kong, Chunnuan Chen, Tao Wang, Osamah Alwalid, Jing Xiong, Min Jia and Min Zhou. Their work appears in journals such as Radiology, Solid-State Electronics, iScience, PLoS ONE and International Journal of Biological Macromolecules.
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.