Qingwei Ji
Impact in
- Immunology top 5%
- Atherosclerosis and Cardiovascular Diseases
- Psoriasis: Treatment and Pathogenesis
- IL-33, ST2, and ILC Pathways
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- Cardiovascular Disease and Adiposity
Papers in
- Immunology 32
- Atherosclerosis and Cardiovascular Diseases 25
- T-cell and B-cell Immunology 9
- Psoriasis: Treatment and Pathogenesis 5
- Immune Cell Function and Interaction 4
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- Cardiac Fibrosis and Remodeling 7
- Co-authors
- Yingzhong Lin (25 shared papers)Ying Shi (13 shared papers)Qiutang Zeng (10 shared papers)Ying Huang (9 shared papers)Bangwei Wu (8 shared papers)Zhen Wang (11 shared papers)Qiutang Zeng (8 shared papers)Kunwu Yu (8 shared papers)
In The Last Decade
Qingwei Ji
58 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 92
- Immunology 827
- Cardiology and Cardiovascular Medicine 433
- Cancer Research 183
- Epidemiology 361
- Dermatology 90
Countries citing papers authored by Qingwei Ji
This map shows the geographic impact of Qingwei Ji'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 Qingwei Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingwei Ji more than expected).
Fields of papers citing papers by Qingwei Ji
This network shows the impact of papers produced by Qingwei Ji. 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 Qingwei Ji. The network helps show where Qingwei Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingwei Ji, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 100 | |
| 2 | 2010 | 98 | |
| 3 | 2016 | 94 | |
| 4 | 2014 | 92 | |
| 5 | 2020 | 90 | |
| 6 | 2015 | 74 | |
| 7 | 2012 | 64 | |
| 8 | 2018 | 64 | |
| 9 | 2017 | 61 | |
| 10 | 2018 | 59 | |
| 11 | 2017 | 54 | |
| 12 | 2015 | 50 | |
| 13 | 2013 | 49 | |
| 14 | 2018 | 47 | |
| 15 | 2020 | 46 | |
| 16 | 2019 | 43 | |
| 17 | 2015 | 43 | |
| 18 | 2012 | 40 | |
| 19 | 2019 | 39 | |
| 20 | 2009 | 37 |
About Qingwei Ji
Qingwei Ji is a scholar working on Immunology, Cardiology and Cardiovascular Medicine, Molecular Biology, Oncology and Pathology and Forensic Medicine, having authored 60 papers that have together received 1.8k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (25 papers), T-cell and B-cell Immunology (9 papers), Cytokine Signaling Pathways and Interactions (7 papers), Cardiac Fibrosis and Remodeling (7 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Vitamin D Research Studies (5 papers), Psoriasis: Treatment and Pathogenesis (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Immunology (827 citations), Cardiology and Cardiovascular Medicine (433 citations), Cancer Research (183 citations), Epidemiology (361 citations) and Dermatology (90 citations). Qingwei Ji has collaborated with scholars based in China, Japan and France. Frequent co-authors include Yingzhong Lin, Ying Shi, Qiutang Zeng, Ying Huang, Bangwei Wu, Zhen Wang, Qiutang Zeng, Kunwu Yu, Jun Wan and Min Guo. Their work appears in journals such as Journal of the American Heart Association, Cardiovascular Diabetology, Cell Biology International, European Journal of Pharmacology and EBioMedicine.
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.