Chen Yang
Impact in
- Nephrology top 1%
- Chronic Kidney Disease and Diabetes
- Acute Kidney Injury Research
- Gout, Hyperuricemia, Uric Acid
- Renal Diseases and Glomerulopathies
- Immunology top 5%
Papers in
- Epidemiology 30
- Autophagy in Disease and Therapy 19
- Co-authors
- Wei Jing Liu (4 shared papers)Lin Ye (5 shared papers)Lin Guo (1 shared paper)Wei Huang (1 shared paper)Jialu Liu (24 shared papers)Qingjun Pan (21 shared papers)Huafeng Liu (12 shared papers)Hui Y. Lan (7 shared papers)
- Journals
- Frontiers in Immunology (5 papers)Frontiers in Physiology (4 papers)Autophagy (3 papers)Journal of Cellular and Molecular Medicine (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Chen Yang
95 papers receiving 3.3k citations
Chen Yang's Hit Papers
Peers
Comparison fields: 5 of 124
- Nephrology 590
- Immunology 547
- Epidemiology 857
- Physiology 100
- Cancer Research 299
Countries citing papers authored by Chen Yang
This map shows the geographic impact of Chen Yang'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 Chen Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Yang more than expected).
Fields of papers citing papers by Chen Yang
This network shows the impact of papers produced by Chen Yang. 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 Chen Yang. The network helps show where Chen Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Yang, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | p62 links the autophagy pathway and the ubiqutin–proteasome system upon ubiquitinated protein degradation Hit paper breakdown → | 2016 | 714 |
| 2 | 2016 | 256 | |
| 3 | 2015 | 196 | |
| 4 | 2020 | 150 | |
| 5 | Macrophage autophagy in macrophage polarization, chronic inflammation and organ fibrosis Hit paper breakdown → | 2022 | 125 |
| 6 | 2013 | 82 | |
| 7 | 2020 | 80 | |
| 8 | 2017 | 79 | |
| 9 | 2021 | 78 | |
| 10 | 2020 | 68 | |
| 11 | 2019 | 65 | |
| 12 | 2018 | 61 | |
| 13 | 2017 | 57 | |
| 14 | 2017 | 54 | |
| 15 | 2021 | 53 | |
| 16 | 2021 | 50 | |
| 17 | 2020 | 45 | |
| 18 | 2020 | 42 | |
| 19 | 2018 | 42 | |
| 20 | 2018 | 39 |
About Chen Yang
Chen Yang is a scholar working on Epidemiology, Molecular Biology, Immunology, Nephrology and Surgery, having authored 97 papers that have together received 3.3k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (19 papers), Chronic Kidney Disease and Diabetes (10 papers), Acute Kidney Injury Research (7 papers), Phagocytosis and Immune Regulation (7 papers), Immune cells in cancer (6 papers), Systemic Lupus Erythematosus Research (6 papers), Renal Diseases and Glomerulopathies (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Nephrology (590 citations), Immunology (547 citations), Epidemiology (857 citations), Physiology (100 citations) and Cancer Research (299 citations). Chen Yang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wei Jing Liu, Lin Ye, Lin Guo, Wei Huang, Jialu Liu, Qingjun Pan, Huafeng Liu, Hui Y. Lan, Hong-yong Su and Xiao‐Ming Meng. Their work appears in journals such as Frontiers in Immunology, Frontiers in Physiology, Autophagy, Journal of Cellular and Molecular Medicine and Scientific Reports.
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.