Beibei Wu
Impact in
- Immunology top 5%
- interferon and immune responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Sensory Systems top 10%
Papers in
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- Epigenetics and DNA Methylation 2
- Inflammasome and immune disorders 2
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- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 2
- interferon and immune responses 2
- Co-authors
- Sonal Srikanth (6 shared papers)Yousang Gwack (5 shared papers)Sinisa Savic (2 shared papers)Jin Seok Woo (4 shared papers)Laura Rice (2 shared papers)Ren Sun (1 shared paper)Guillaume Calmettes (1 shared paper)Dong Sung An (1 shared paper)
- Journals
- Cell Reports (2 papers)Nature Immunology (2 papers)The Journal of Immunology (2 papers)Scientific Reports (1 paper)Journal of Alzheimer s Disease (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Beibei Wu
17 papers receiving 666 citations
Peers
Comparison fields: 5 of 83
- Immunology 402
- Sensory Systems 44
- Infectious Diseases 153
- Molecular Biology 291
- Neurology 33
Countries citing papers authored by Beibei Wu
This map shows the geographic impact of Beibei Wu'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 Beibei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beibei Wu more than expected).
Fields of papers citing papers by Beibei Wu
This network shows the impact of papers produced by Beibei Wu. 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 Beibei Wu. The network helps show where Beibei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Beibei Wu, 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 | 2018 | 299 | |
| 2 | 2009 | 169 | |
| 3 | 2013 | 88 | |
| 4 | 2014 | 33 | |
| 5 | 2016 | 21 | |
| 6 | 2021 | 13 | |
| 7 | 2018 | 13 | |
| 8 | Biallelic mutations in calcium release activated channel regulator 2A (CRACR2A) cause a primary immunodeficiency disorder | 2021 | 12 |
| 9 | 2006 | 6 | |
| 10 | 2005 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2011 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2006 | 3 | |
| 15 | 2025 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2006 | 1 |
About Beibei Wu
Beibei Wu is a scholar working on Molecular Biology, Immunology, Computer Networks and Communications, Sensory Systems and Physiology, having authored 17 papers that have together received 675 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Interconnection Networks and Systems (3 papers), Ion Channels and Receptors (3 papers), T-cell and B-cell Immunology (2 papers), interferon and immune responses (2 papers), Adipose Tissue and Metabolism (2 papers), Epigenetics and DNA Methylation (2 papers) and Inflammasome and immune disorders (2 papers). The work is most often cited by research in Immunology (402 citations), Sensory Systems (44 citations), Infectious Diseases (153 citations), Molecular Biology (291 citations) and Neurology (33 citations). Beibei Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Sonal Srikanth, Yousang Gwack, Sinisa Savic, Jin Seok Woo, Laura Rice, Ren Sun, Guillaume Calmettes, Dong Sung An, Yasser M. El‐Sherbiny and Chandran Ramakrishna. Their work appears in journals such as Cell Reports, Nature Immunology, The Journal of Immunology, Scientific Reports and Journal of Alzheimer s Disease.
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.