Yunbo Wei
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Aquaculture disease management and microbiota
Papers in
-
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- IL-33, ST2, and ILC Pathways 3
- Invertebrate Immune Response Mechanisms 2
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- Gut microbiota and health 2
- Co-authors
- Di Yu (10 shared papers)Ting‐Jun Fan (2 shared papers)Jun Deng (2 shared papers)Válter R. Fonseca (1 shared paper)Luís Graça (1 shared paper)Jinhong Feng (6 shared papers)Yang Yang (2 shared papers)Minglei Shu (2 shared papers)
- Journals
- Clinical & Translational Immunology (2 papers)Medicine (1 paper)Cell Reports (1 paper)Carbohydrate Polymers (1 paper)The Science of The Total Environment (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yunbo Wei
23 papers receiving 630 citations
Peers
Comparison fields: 5 of 119
- Immunology 205
- Biological Psychiatry 11
- Rheumatology 45
- Molecular Biology 210
- Pathology and Forensic Medicine 42
Countries citing papers authored by Yunbo Wei
This map shows the geographic impact of Yunbo 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 Yunbo Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunbo Wei more than expected).
Fields of papers citing papers by Yunbo Wei
This network shows the impact of papers produced by Yunbo 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 Yunbo Wei. The network helps show where Yunbo Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Yunbo 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 123 | |
| 2 | 2021 | 118 | |
| 3 | 2008 | 90 | |
| 4 | 2022 | 50 | |
| 5 | 2015 | 28 | |
| 6 | 2021 | 28 | |
| 7 | 2020 | 26 | |
| 8 | 2019 | 21 | |
| 9 | 2010 | 20 | |
| 10 | 2009 | 20 | |
| 11 | 2022 | 18 | |
| 12 | 2021 | 17 | |
| 13 | 2023 | 13 | |
| 14 | 2015 | 12 | |
| 15 | 2019 | 11 | |
| 16 | 2023 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2018 | 6 |
About Yunbo Wei
Yunbo Wei is a scholar working on Immunology, Molecular Biology, Genetics, Rheumatology and Pharmacology, having authored 24 papers that have together received 636 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), IL-33, ST2, and ILC Pathways (3 papers), Systemic Lupus Erythematosus Research (3 papers), Gut microbiota and health (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Invertebrate Immune Response Mechanisms (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Immunology (205 citations), Biological Psychiatry (11 citations), Rheumatology (45 citations), Molecular Biology (210 citations) and Pathology and Forensic Medicine (42 citations). Yunbo Wei has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Di Yu, Ting‐Jun Fan, Jun Deng, Válter R. Fonseca, Luís Graça, Jinhong Feng, Yang Yang, Minglei Shu, Tiefu Zhang and Yong‐Gang Duan. Their work appears in journals such as Clinical & Translational Immunology, Medicine, Cell Reports, Carbohydrate Polymers and The Science of The Total Environment.
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.