Guangyan Wei
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
- Liver Diseases and Immunity
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- Liver Disease Diagnosis and Treatment
Papers in
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- Fibroblast Growth Factor Research 2
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- Hepatocellular Carcinoma Treatment and Prognosis 4
- Liver physiology and pathology 3
- Liver Diseases and Immunity 3
- Liver Disease and Transplantation 2
- Co-authors
- Yury Popov (9 shared papers)Zhenwei Peng (13 shared papers)Kahini A. Vaid (7 shared papers)Pinzhu Huang (8 shared papers)Lixia Xu (4 shared papers)Ping An (6 shared papers)Li Tan (4 shared papers)Ming Kuang (3 shared papers)
- Journals
- Journal of Hepatology (2 papers)Hepatology Communications (2 papers)Cell Death and Differentiation (2 papers)Nature Communications (1 paper)Hepatology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Guangyan Wei
31 papers receiving 461 citations
Peers
Comparison fields: 5 of 82
- Hepatology 102
- Epidemiology 115
- Physiology 16
- Cancer Research 47
- Oncology 67
Countries citing papers authored by Guangyan Wei
This map shows the geographic impact of Guangyan Wei'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 Guangyan Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangyan Wei more than expected).
Fields of papers citing papers by Guangyan Wei
This network shows the impact of papers produced by Guangyan Wei. 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 Guangyan Wei. The network helps show where Guangyan Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Guangyan Wei, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 60 | |
| 2 | 2019 | 58 | |
| 3 | 2020 | 49 | |
| 4 | 2019 | 49 | |
| 5 | 2020 | 45 | |
| 6 | 2017 | 29 | |
| 7 | 2017 | 28 | |
| 8 | 2019 | 21 | |
| 9 | 2024 | 18 | |
| 10 | 2024 | 12 | |
| 11 | 2024 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2024 | 9 | |
| 14 | 2024 | 9 | |
| 15 | 2024 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2024 | 5 | |
| 18 | 2018 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2024 | 4 |
About Guangyan Wei
Guangyan Wei is a scholar working on Molecular Biology, Hepatology, Epidemiology, Surgery and Oncology, having authored 32 papers that have together received 464 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Liver physiology and pathology (3 papers), Liver Diseases and Immunity (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Liver Disease and Transplantation (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Hepatology (102 citations), Epidemiology (115 citations), Physiology (16 citations), Cancer Research (47 citations) and Oncology (67 citations). Guangyan Wei has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yury Popov, Zhenwei Peng, Kahini A. Vaid, Pinzhu Huang, Lixia Xu, Ping An, Li Tan, Ming Kuang, Yu Guo and Sui Peng. Their work appears in journals such as Journal of Hepatology, Hepatology Communications, Cell Death and Differentiation, Nature Communications and Hepatology.
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.