Caiming Chen
Impact in
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune cells in cancer
Papers in
-
- Inflammasome and immune disorders 4
- Nephrology 10
- Chronic Kidney Disease and Diabetes 3
- Renal Diseases and Glomerulopathies 3
- Gout, Hyperuricemia, Uric Acid 2
- Co-authors
- Weibo Wu (2 shared papers)Jianfeng Chen (1 shared paper)Shiqing Zhang (5 shared papers)Yanfang Xu (15 shared papers)Keng Ye (6 shared papers)Zhimin Chen (2 shared papers)Ying Yuan (2 shared papers)Mazhar Hussain Baloch (1 shared paper)
In The Last Decade
Caiming Chen
37 papers receiving 446 citations
Peers
Comparison fields: 5 of 97
- Nephrology 55
- Immunology 88
- Renewable Energy, Sustainability and the Environment 43
- Pharmacology 20
- Neurology 17
Countries citing papers authored by Caiming Chen
This map shows the geographic impact of Caiming Chen'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 Caiming Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caiming Chen more than expected).
Fields of papers citing papers by Caiming Chen
This network shows the impact of papers produced by Caiming Chen. 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 Caiming Chen. The network helps show where Caiming Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Caiming Chen, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 86 | |
| 2 | 2022 | 82 | |
| 3 | 2022 | 57 | |
| 4 | 2020 | 34 | |
| 5 | 2024 | 18 | |
| 6 | 2010 | 18 | |
| 7 | 2024 | 16 | |
| 8 | 2021 | 16 | |
| 9 | 2019 | 14 | |
| 10 | 2010 | 12 | |
| 11 | 2022 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2024 | 9 | |
| 14 | 2017 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2021 | 6 | |
| 18 | 2018 | 5 | |
| 19 | 2010 | 5 | |
| 20 | 2010 | 4 |
About Caiming Chen
Caiming Chen is a scholar working on Molecular Biology, Nephrology, Computer Vision and Pattern Recognition, Immunology and Water Science and Technology, having authored 44 papers that have together received 456 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Face and Expression Recognition (3 papers), Advanced Steganography and Watermarking Techniques (3 papers), Water resources management and optimization (3 papers), Image and Video Stabilization (3 papers), Renal Diseases and Glomerulopathies (3 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). The work is most often cited by research in Nephrology (55 citations), Immunology (88 citations), Renewable Energy, Sustainability and the Environment (43 citations), Pharmacology (20 citations) and Neurology (17 citations). Caiming Chen has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Weibo Wu, Jianfeng Chen, Shiqing Zhang, Yanfang Xu, Keng Ye, Zhimin Chen, Ying Yuan, Mazhar Hussain Baloch, Zubair Ahmed Memon and Muhammad Zeeshan Malik. Their work appears in journals such as PeerJ, Water, Cell Death and Differentiation, Journal of Intensive Care Medicine and International Immunopharmacology.
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.