Feng Yu
Impact in
- Nephrology top 0.5%
- Renal Diseases and Glomerulopathies
- Rheumatology top 0.5%
- Systemic Lupus Erythematosus Research
Papers in
- Immunology 50
- Complement system in diseases 34
- Atherosclerosis and Cardiovascular Diseases 6
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
- Rheumatology 42
- Systemic Lupus Erythematosus Research 36
- Co-authors
- Ming‐Hui Zhao (85 shared papers)Ying Tan (34 shared papers)Suxia Wang (25 shared papers)Min Chen (17 shared papers)Wan-zhong Zou (8 shared papers)Lihua Wu (7 shared papers)Richard J. Glassock (2 shared papers)Mark Haas (2 shared papers)
- Journals
- Lupus (9 papers)Lara D. Veeken (7 papers)Medicine (7 papers)Kidney International (7 papers)Renal Failure (6 papers)
- Partner nations
- ChinaUnited StatesRomania
In The Last Decade
Feng Yu
133 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 116
- Nephrology 1.2k
- Rheumatology 1.3k
- Immunology 1.5k
- Pulmonary and Respiratory Medicine 1.2k
- Genetics 331
Countries citing papers authored by Feng Yu
This map shows the geographic impact of Feng Yu'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 Feng Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Yu more than expected).
Fields of papers citing papers by Feng Yu
This network shows the impact of papers produced by Feng Yu. 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 Feng Yu. The network helps show where Feng Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Yu, 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 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 252 | |
| 2 | 2012 | 211 | |
| 3 | 2010 | 183 | |
| 4 | 2013 | 182 | |
| 5 | 2014 | 125 | |
| 6 | 2013 | 118 | |
| 7 | 2019 | 111 | |
| 8 | 2008 | 97 | |
| 9 | 2008 | 93 | |
| 10 | 2009 | 89 | |
| 11 | 2005 | 89 | |
| 12 | 2020 | 87 | |
| 13 | 2009 | 85 | |
| 14 | 2007 | 84 | |
| 15 | 2005 | 83 | |
| 16 | 2010 | 77 | |
| 17 | 2008 | 72 | |
| 18 | 2014 | 61 | |
| 19 | 2017 | 60 | |
| 20 | 2007 | 56 |
About Feng Yu
Feng Yu is a scholar working on Immunology, Rheumatology, Pulmonary and Respiratory Medicine, Nephrology and Molecular Biology, having authored 141 papers that have together received 4.0k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (36 papers), Complement system in diseases (34 papers), Renal Diseases and Glomerulopathies (31 papers), Vasculitis and related conditions (29 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Atherosclerosis and Cardiovascular Diseases (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Nephrology (1.2k citations), Rheumatology (1.3k citations), Immunology (1.5k citations), Pulmonary and Respiratory Medicine (1.2k citations) and Genetics (331 citations). Feng Yu has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Ming‐Hui Zhao, Ying Tan, Suxia Wang, Min Chen, Wan-zhong Zou, Lihua Wu, Richard J. Glassock, Mark Haas, Di Song and Shen‐Ju Gou. Their work appears in journals such as Lupus, Lara D. Veeken, Medicine, Kidney International and Renal Failure.
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.