Kai Wei
Impact in
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
- Rheumatology top 10%
- Rheumatoid Arthritis Research and Therapies
Papers in
- Rheumatology 11
- Rheumatoid Arthritis Research and Therapies 8
- Co-authors
- Pei Wang (2 shared papers)Chao‐Yu Miao (2 shared papers)Shicheng Guo (21 shared papers)Cen Chang (20 shared papers)Yiming Shi (18 shared papers)Jianan Zhao (17 shared papers)Lingxia Xu (14 shared papers)Ping Jiang (14 shared papers)
- Journals
- Frontiers in Immunology (11 papers)The Journals of Gerontology Series A (3 papers)International Immunopharmacology (2 papers)Journal of Molecular Neuroscience (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Kai Wei
47 papers receiving 990 citations
Kai Wei's Hit Papers
Peers
Comparison fields: 5 of 108
- Nephrology 75
- Rheumatology 133
- Neurology 72
- Geriatrics and Gerontology 25
- Biological Psychiatry 16
Countries citing papers authored by Kai Wei
This map shows the geographic impact of Kai 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 Kai Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Wei more than expected).
Fields of papers citing papers by Kai Wei
This network shows the impact of papers produced by Kai 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 Kai Wei. The network helps show where Kai Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 162 | |
| 2 | 2014 | 121 | |
| 3 | 2018 | 100 | |
| 4 | Macrophage polarization in rheumatoid arthritis: signaling pathways, metabolic reprogramming, and crosstalk with synovial fibroblasts Hit paper breakdown → | 2024 | 90 |
| 5 | 2022 | 70 | |
| 6 | 2022 | 67 | |
| 7 | 2022 | 51 | |
| 8 | 2023 | 33 | |
| 9 | 2017 | 26 | |
| 10 | 2022 | 22 | |
| 11 | 2024 | 21 | |
| 12 | 2022 | 18 | |
| 13 | 2022 | 15 | |
| 14 | 2022 | 14 | |
| 15 | 2022 | 14 | |
| 16 | 2022 | 14 | |
| 17 | 2023 | 13 | |
| 18 | 2022 | 11 | |
| 19 | 2020 | 11 | |
| 20 | 2024 | 11 |
About Kai Wei
Kai Wei is a scholar working on Rheumatology, Molecular Biology, Nephrology, Immunology and Hematology, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (8 papers), Autoimmune and Inflammatory Disorders Research (5 papers), Autophagy in Disease and Therapy (3 papers), Acute Kidney Injury Research (3 papers), Per- and polyfluoroalkyl substances research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Pain Mechanisms and Treatments (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Nephrology (75 citations), Rheumatology (133 citations), Neurology (72 citations), Geriatrics and Gerontology (25 citations) and Biological Psychiatry (16 citations). Kai Wei has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Pei Wang, Chao‐Yu Miao, Shicheng Guo, Cen Chang, Yiming Shi, Jianan Zhao, Lingxia Xu, Ping Jiang, Zhijie Lu and Linshuai Xu. Their work appears in journals such as Frontiers in Immunology, The Journals of Gerontology Series A, International Immunopharmacology, Journal of Molecular Neuroscience and Frontiers in Pharmacology.
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.