Fa Liang
Impact in
- Anesthesiology and Pain Medicine top 10%
- Anesthesia and Sedative Agents
- Airway Management and Intubation Techniques
-
- Acute Ischemic Stroke Management
Papers in
- Epidemiology 16
- Acute Ischemic Stroke Management 16
-
- Anesthesia and Sedative Agents 3
- Co-authors
- Ruquan Han (26 shared papers)Youxuan Wu (18 shared papers)Zhongrong Miao (6 shared papers)Yuming Peng (4 shared papers)Haiyang Liu (13 shared papers)Yan Zhao (1 shared paper)Matthew T.V. Chan (1 shared paper)Li Zhang (1 shared paper)
- Journals
- Journal of Neurosurgical Anesthesiology (11 papers)BMJ Open (6 papers)BMC Anesthesiology (4 papers)Journal of Evidence-Based Medicine (1 paper)Stroke and Vascular Neurology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Fa Liang
23 papers receiving 213 citations
Peers
Comparison fields: 5 of 26
- Anesthesiology and Pain Medicine 37
- Epidemiology 143
- Neurology 33
- Critical Care and Intensive Care Medicine 3
- Surgery 18
Countries citing papers authored by Fa Liang
This map shows the geographic impact of Fa Liang'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 Fa Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fa Liang more than expected).
Fields of papers citing papers by Fa Liang
This network shows the impact of papers produced by Fa Liang. 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 Fa Liang. The network helps show where Fa Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fa Liang, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 56 | |
| 2 | 2022 | 45 | |
| 3 | 2018 | 20 | |
| 4 | 2015 | 17 | |
| 5 | 2023 | 12 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 9 | |
| 8 | 2023 | 9 | |
| 9 | 2020 | 7 | |
| 10 | 2021 | 7 | |
| 11 | 2024 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2024 | 4 | |
| 14 | 2019 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2021 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2022 | 1 |
About Fa Liang
Fa Liang is a scholar working on Epidemiology, Anesthesiology and Pain Medicine, Neurology, Surgery and Critical Care and Intensive Care Medicine, having authored 28 papers that have together received 221 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (16 papers), Intraoperative Neuromonitoring and Anesthetic Effects (4 papers), Anesthesia and Sedative Agents (3 papers), Intracranial Aneurysms: Treatment and Complications (2 papers), COVID-19 and healthcare impacts (1 paper), Autoimmune Neurological Disorders and Treatments (1 paper), Functional Brain Connectivity Studies (1 paper) and Blood transfusion and management (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (37 citations), Epidemiology (143 citations), Neurology (33 citations), Critical Care and Intensive Care Medicine (3 citations) and Surgery (18 citations). Fa Liang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ruquan Han, Youxuan Wu, Zhongrong Miao, Yuming Peng, Haiyang Liu, Yan Zhao, Matthew T.V. Chan, Li Zhang, Jian Hong Sun and Adrian W. Gelb. Their work appears in journals such as Journal of Neurosurgical Anesthesiology, BMJ Open, BMC Anesthesiology, Journal of Evidence-Based Medicine and Stroke and Vascular Neurology.
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.