Weifeng Wu
Impact in
- Nephrology top 5%
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
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- Viral Infections and Immunology Research
- Cardiac Fibrosis and Remodeling
- Heart Failure Treatment and Management
Papers in
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- Viral Infections and Immunology Research 15
-
- Renal and related cancers 3
- Co-authors
- Hai-Di Li (7 shared papers)Xiao‐Ming Meng (7 shared papers)Li Gao (5 shared papers)Gui‐Ling Ren (4 shared papers)Cheng Huang (4 shared papers)Fan Yang (6 shared papers)Haiyong Chen (6 shared papers)Xiongwen Lv (3 shared papers)
- Journals
- Virology Journal (5 papers)BMC Cardiovascular Disorders (3 papers)Laboratory Investigation (3 papers)International Journal of Biological Sciences (2 papers)Heart (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Weifeng Wu
59 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 100
- Nephrology 184
- Cardiology and Cardiovascular Medicine 378
- Pathology and Forensic Medicine 199
- Immunology 217
- Neurology 50
Countries citing papers authored by Weifeng Wu
This map shows the geographic impact of Weifeng Wu'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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weifeng Wu more than expected).
Fields of papers citing papers by Weifeng Wu
This network shows the impact of papers produced by Weifeng Wu. 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 Wu. The network helps show where Weifeng Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weifeng Wu, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 171 | |
| 2 | 2014 | 103 | |
| 3 | 2002 | 88 | |
| 4 | 2022 | 84 | |
| 5 | 2016 | 81 | |
| 6 | 2017 | 78 | |
| 7 | 2011 | 56 | |
| 8 | 2013 | 56 | |
| 9 | 2018 | 46 | |
| 10 | 2014 | 40 | |
| 11 | 2012 | 36 | |
| 12 | 2021 | 36 | |
| 13 | 2011 | 32 | |
| 14 | 2017 | 32 | |
| 15 | 2019 | 31 | |
| 16 | 2021 | 31 | |
| 17 | 2020 | 28 | |
| 18 | 2021 | 26 | |
| 19 | 2022 | 23 | |
| 20 | 2021 | 23 |
About Weifeng Wu
Weifeng Wu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Nephrology, Immunology and Pathology and Forensic Medicine, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (15 papers), Chronic Kidney Disease and Diabetes (8 papers), T-cell and B-cell Immunology (4 papers), Renal and related cancers (3 papers), Chemotherapy-induced organ toxicity mitigation (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Acute Kidney Injury Research (3 papers). The work is most often cited by research in Nephrology (184 citations), Cardiology and Cardiovascular Medicine (378 citations), Pathology and Forensic Medicine (199 citations), Immunology (217 citations) and Neurology (50 citations). Weifeng Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hai-Di Li, Xiao‐Ming Meng, Li Gao, Gui‐Ling Ren, Cheng Huang, Fan Yang, Haiyong Chen, Xiongwen Lv, Jun Li and Qin Yang. Their work appears in journals such as Virology Journal, BMC Cardiovascular Disorders, Laboratory Investigation, International Journal of Biological Sciences and Heart.
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.