Weifeng Yao
- Developmental Neuroscience top 5%
- Anesthesia and Neurotoxicity Research 9
- Cancer Research top 5%
- Hepatology top 5%
- Liver Disease and Transplantation 13
- Hepatocellular Carcinoma Treatment and Prognosis 6
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- Organ Transplantation Techniques and Outcomes 18
- Anesthesia and Pain Management 8
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- Cardiac Ischemia and Reperfusion 11
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- Heme Oxygenase-1 and Carbon Monoxide 10
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- Nitric Oxide and Endothelin Effects 5
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Weifeng Yao
97 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Developmental Neuroscience 168
- Cancer Research 330
- Critical Care and Intensive Care Medicine 104
- Hepatology 138
- Anesthesiology and Pain Medicine 94
Countries citing papers authored by Weifeng Yao
This map shows the geographic impact of Weifeng Yao'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 Weifeng Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weifeng Yao more than expected).
Fields of papers citing papers by Weifeng Yao
This network shows the impact of papers produced by Weifeng Yao. 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 Weifeng Yao. The network helps show where Weifeng Yao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weifeng Yao, 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 | A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care IV Database: Retrospective Studybreakdown → | 2025 | 12 |
| 2 | 2024 | 8 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 40 | |
| 11 | 2020 | 6 | |
| 12 | 2020 | 45 | |
| 13 | 2020 | 10 | |
| 14 | 2018 | 28 | |
| 15 | 2017 | 140 | |
| 16 | 2015 | 31 | |
| 17 | 2015 | 91 | |
| 18 | 2014 | 14 | |
| 19 | 2014 | 41 | |
| 20 | 2014 | 10 |
About Weifeng Yao
Weifeng Yao is a scholar working on Developmental Neuroscience, Hepatology and Critical Care and Intensive Care Medicine, having authored 101 papers that have together received 2.3k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (18 papers), Liver Disease and Transplantation (13 papers), Cardiac Ischemia and Reperfusion (11 papers), Heme Oxygenase-1 and Carbon Monoxide (10 papers), Anesthesia and Neurotoxicity Research (9 papers), Anesthesia and Pain Management (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers) and Nitric Oxide and Endothelin Effects (5 papers). The work is most often cited by research in Developmental Neuroscience (168 citations), Cancer Research (330 citations) and Critical Care and Intensive Care Medicine (104 citations). Weifeng Yao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ziqing Hei, Zhengyuan Xia, Haobo Li, Dongdong Yuan, Chaojin Chen, Mian Ge, Xinjin Chi, Jun Cai, Shaoli Zhou and Yihan Zhang. Their work appears in journals such as ACS Nano, Biomaterials and Diabetes.
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.