Wei Wei
- Cancer Research top 0.5%
- MicroRNA in disease regulation 38
- Cancer-related molecular mechanisms research 32
- NF-κB Signaling Pathways 26
- Immunology top 0.5%
- Immune Cell Function and Interaction 27
- Pharmacology top 0.1%
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- Traditional Chinese Medicine Analysis 37
- Molecular Biology top 0.5%
- Receptor Mechanisms and Signaling 41
- Inflammasome and immune disorders 29
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- Rheumatoid Arthritis Research and Therapies 46
- Co-authors
- Lingling ZhangHeinrich KörnerYan ChangQingtong WangA. Bruce LyonsShanshan HuJocelyn M. DarbyXuezhi Yang
- Journals
- International Immunopharmacology (24 papers)Acta Pharmacologica Sinica (21 papers)Biomedicine & Pharmacotherapy (16 papers)
- Partner nations
- ChinaSaint Kitts and NevisUnited States
In The Last Decade
Wei Wei
456 papers receiving 13.5k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Cancer Research 2.3k
- Immunology 2.9k
- Pharmacology 1.1k
- Complementary and alternative medicine 1.0k
- Molecular Biology 6.8k
Countries citing papers authored by Wei Wei
This map shows the geographic impact of Wei 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 Wei Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Wei more than expected).
Fields of papers citing papers by Wei Wei
This network shows the impact of papers produced by Wei 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 Wei Wei. The network helps show where Wei Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 9 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 18 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 59 | |
| 15 | 2022 | 13 | |
| 16 | 2022 | 16 | |
| 17 | SNHG16: A Novel Long-Non Coding RNA in Human Cancers | 2019 | 2 |
| 18 | 2014 | 46 | |
| 19 | Pharmacokinetics of paeoniflorin microemulsion after repeated dosing in rats with adjuvant arthritis. | 2012 | 15 |
| 20 | 2005 | 0 |
About Wei Wei
Wei Wei is a scholar working on Cancer Research, Immunology, Complementary and alternative medicine, Pharmacology and Rheumatology, having authored 474 papers that have together received 13.7k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (46 papers), Receptor Mechanisms and Signaling (41 papers), MicroRNA in disease regulation (38 papers), Traditional Chinese Medicine Analysis (37 papers), Cancer-related molecular mechanisms research (32 papers), Inflammasome and immune disorders (29 papers), Immune Cell Function and Interaction (27 papers) and NF-κB Signaling Pathways (26 papers). The work is most often cited by research in Cancer Research (2.3k citations), Immunology (2.9k citations), Pharmacology (1.1k citations), Complementary and alternative medicine (1.0k citations) and Molecular Biology (6.8k citations). Wei Wei has collaborated with scholars based in China, Saint Kitts and Nevis and United States. Frequent co-authors include Lingling Zhang, Heinrich Körner, Yan Chang, Qingtong Wang, A. Bruce Lyons, Shanshan Hu, Jocelyn M. Darby, Xuezhi Yang, Wu‐Yi Sun and Hua Wang. Their work appears in journals such as International Immunopharmacology, Acta Pharmacologica Sinica, Biomedicine & Pharmacotherapy, Journal of Ethnopharmacology and Frontiers in Immunology.
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.