Weiji Lin
Impact in
- Rheumatology top 10%
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds
Papers in
-
- Rheumatoid Arthritis Research and Therapies 8
- Systemic Lupus Erythematosus Research 2
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- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 2
- Co-authors
- Shenghao Tu (25 shared papers)Ying Huang (19 shared papers)Pan Shen (19 shared papers)Xin Ba (22 shared papers)Kai Qin (18 shared papers)Zhe Chen (11 shared papers)Yao Huang (19 shared papers)Liang Han (13 shared papers)
In The Last Decade
Weiji Lin
30 papers receiving 798 citations
Peers
Comparison fields: 5 of 105
- Rheumatology 139
- Pharmacology 67
- Complementary and alternative medicine 60
- Immunology 133
- Biochemistry 22
Countries citing papers authored by Weiji Lin
This map shows the geographic impact of Weiji Lin'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 Weiji Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiji Lin more than expected).
Fields of papers citing papers by Weiji Lin
This network shows the impact of papers produced by Weiji Lin. 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 Weiji Lin. The network helps show where Weiji Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiji Lin, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 182 | |
| 2 | 2021 | 74 | |
| 3 | 2021 | 67 | |
| 4 | 2020 | 47 | |
| 5 | 2022 | 43 | |
| 6 | 2019 | 42 | |
| 7 | 2023 | 41 | |
| 8 | 2023 | 32 | |
| 9 | 2020 | 25 | |
| 10 | 2019 | 25 | |
| 11 | 2020 | 21 | |
| 12 | 2023 | 19 | |
| 13 | 2023 | 18 | |
| 14 | 2023 | 17 | |
| 15 | 2019 | 16 | |
| 16 | 2023 | 16 | |
| 17 | 2023 | 16 | |
| 18 | 2021 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2022 | 13 |
About Weiji Lin
Weiji Lin is a scholar working on Rheumatology, Immunology, Molecular Biology, Complementary and alternative medicine and Infectious Diseases, having authored 31 papers that have together received 816 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (8 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Systemic Lupus Erythematosus Research (2 papers), Pharmacological Effects of Natural Compounds (2 papers), Immunotherapy and Immune Responses (2 papers) and Inflammasome and immune disorders (2 papers). The work is most often cited by research in Rheumatology (139 citations), Pharmacology (67 citations), Complementary and alternative medicine (60 citations), Immunology (133 citations) and Biochemistry (22 citations). Weiji Lin has collaborated with scholars based in China and Taiwan. Frequent co-authors include Shenghao Tu, Ying Huang, Pan Shen, Xin Ba, Kai Qin, Zhe Chen, Yao Huang, Liang Han, Xuan Deng and Jiahui Yan. Their work appears in journals such as Journal of Ethnopharmacology, Frontiers in Immunology, Evidence-based Complementary and Alternative Medicine, Frontiers in Pharmacology and Drug Design Development and Therapy.
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.