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 11
- Long-Term Effects of COVID-19 6
- Intracranial Aneurysms: Treatment and Complications 3
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- Gut microbiota and health 2
- Co-authors
- Nian Xiong (12 shared papers)Zhicheng Lin (12 shared papers)Jinsha Huang (3 shared papers)Xiangquan Kong (2 shared papers)Tao Wang (2 shared papers)Jing Xiong (1 shared paper)Min Jia (1 shared paper)Chunnuan Chen (1 shared paper)
- Journals
- Radiology (2 papers)iScience (2 papers)Solid-State Electronics (2 papers)Biochemical Pharmacology (1 paper)Applied Physics Letters (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xi Long
32 papers receiving 624 citations
Peers
Comparison fields: 5 of 110
- Neurology 209
- Internal Medicine 38
- Health Informatics 7
- Neurology 40
- Geriatrics and Gerontology 15
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 165 | |
| 2 | 2020 | 82 | |
| 3 | 2015 | 62 | |
| 4 | 2019 | 32 | |
| 5 | 2020 | 29 | |
| 6 | 2021 | 24 | |
| 7 | 2015 | 21 | |
| 8 | 2011 | 20 | |
| 9 | 2021 | 20 | |
| 10 | 2020 | 18 | |
| 11 | 2020 | 17 | |
| 12 | 2020 | 16 | |
| 13 | 2023 | 16 | |
| 14 | 2017 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2014 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2020 | 9 | |
| 19 | 2020 | 7 | |
| 20 | 2017 | 7 |
About Xi Long
Xi Long is a scholar working on Neurology, Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 35 papers that have together received 636 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (6 papers), COVID-19 Clinical Research Studies (4 papers), Phase-change materials and chalcogenides (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Liquid Crystal Research Advancements (3 papers), Gut microbiota and health (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Neurology (209 citations), Internal Medicine (38 citations), Health Informatics (7 citations), Neurology (40 citations) and Geriatrics and Gerontology (15 citations). Xi Long has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Nian Xiong, Zhicheng Lin, Jinsha Huang, Xiangquan Kong, Tao Wang, Jing Xiong, Min Jia, Chunnuan Chen, Osamah Alwalid and Min Zhou. Their work appears in journals such as Radiology, iScience, Solid-State Electronics, Biochemical Pharmacology and Applied Physics Letters.
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.