Wei Wei
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Immunology top 5%
- Inflammation biomarkers and pathways
Papers in
- Hepatology 27
- Hepatocellular Carcinoma Treatment and Prognosis 14
- Liver physiology and pathology 9
- Immunology 35
- Immune Cell Function and Interaction 9
- Immune Response and Inflammation 9
- Co-authors
- Quan‐Bin Han (6 shared papers)Dik‐Lung Ma (5 shared papers)Chung‐Hang Leung (5 shared papers)Rong Guo (10 shared papers)Wan-Rong Bao (3 shared papers)Zhaoxiang Bian (4 shared papers)Ming Jun Shi (5 shared papers)Yi Tan (1 shared paper)
- Journals
- PLoS ONE (7 papers)International Immunopharmacology (3 papers)Acta Tropica (3 papers)Acta Pharmacologica Sinica (3 papers)Journal of Agricultural and Food Chemistry (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wei Wei
168 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 152
- Hepatology 410
- Immunology 555
- Pharmacology 395
- Pharmacology 176
- Complementary and alternative medicine 147
Countries citing papers authored by Wei Wei
This map shows the geographic impact of Wei 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 Wei Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Wei more than expected).
Fields of papers citing papers by Wei Wei
This network shows the impact of papers produced by Wei 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 Wei Wei. The network helps show where Wei Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 172 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 156 | |
| 2 | 2009 | 152 | |
| 3 | 2015 | 144 | |
| 4 | 2017 | 118 | |
| 5 | 2002 | 105 | |
| 6 | 2008 | 103 | |
| 7 | 2011 | 101 | |
| 8 | 2019 | 100 | |
| 9 | 2013 | 95 | |
| 10 | 2005 | 90 | |
| 11 | 2008 | 90 | |
| 12 | 2019 | 72 | |
| 13 | 2010 | 69 | |
| 14 | 2014 | 68 | |
| 15 | 2019 | 66 | |
| 16 | 2006 | 65 | |
| 17 | 2019 | 64 | |
| 18 | 2017 | 62 | |
| 19 | 2013 | 60 | |
| 20 | 2014 | 60 |
About Wei Wei
Wei Wei is a scholar working on Hepatology, Immunology, Complementary and alternative medicine, Pharmacology and Molecular Biology, having authored 172 papers that have together received 3.8k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (14 papers), Immune Cell Function and Interaction (9 papers), Traditional Chinese Medicine Analysis (9 papers), Liver physiology and pathology (9 papers), Immune Response and Inflammation (9 papers), Parasite Biology and Host Interactions (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Inflammatory mediators and NSAID effects (5 papers). The work is most often cited by research in Hepatology (410 citations), Immunology (555 citations), Pharmacology (395 citations), Pharmacology (176 citations) and Complementary and alternative medicine (147 citations). Wei Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Quan‐Bin Han, Dik‐Lung Ma, Chung‐Hang Leung, Rong Guo, Wan-Rong Bao, Zhaoxiang Bian, Ming Jun Shi, Yi Tan, Feng‐Qing Wang and Qiuju Liu. Their work appears in journals such as PLoS ONE, International Immunopharmacology, Acta Tropica, Acta Pharmacologica Sinica and Journal of Agricultural and Food Chemistry.
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.