Lai‐Chu Wu
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Cancer Research top 5%
- NF-κB Signaling Pathways
Papers in
- Immunology 36
- T-cell and B-cell Immunology 14
- Immune Cell Function and Interaction 13
- Immune Response and Inflammation 6
- Complement system in diseases 5
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- NF-κB Signaling Pathways 14
- MicroRNA in disease regulation 5
- Co-authors
- C. Yung YuSondra G. LazarowitzCarl E. AllenPhilip W. ShaulL B WellsBernard J. MorleyR. Duncan CampbellShujun Liu
- Journals
- Journal of Biological Chemistry (6 papers)The Journal of Immunology (4 papers)Nucleic Acids Research (4 papers)Blood (4 papers)Immunogenetics (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Lai‐Chu Wu
78 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 117
- Immunology 790
- Cancer Research 367
- Hematology 244
- Molecular Medicine 104
- Molecular Biology 1.4k
Countries citing papers authored by Lai‐Chu Wu
This map shows the geographic impact of Lai‐Chu 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 Lai‐Chu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lai‐Chu Wu more than expected).
Fields of papers citing papers by Lai‐Chu Wu
This network shows the impact of papers produced by Lai‐Chu 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 Lai‐Chu Wu. The network helps show where Lai‐Chu Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lai‐Chu 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 | 2020 | 1 | |
| 2 | 2018 | 59 | |
| 3 | 2017 | 31 | |
| 4 | Mechanosignaling in bone health, trauma and inflammation | 2014 | 1 |
| 5 | 2014 | 12 | |
| 6 | 2014 | 21 | |
| 7 | 2013 | 43 | |
| 8 | 2013 | 1 | |
| 9 | 2011 | 8 | |
| 10 | 2011 | 54 | |
| 11 | 2010 | 13 | |
| 12 | 2010 | 5 | |
| 13 | 2010 | 5 | |
| 14 | 2006 | 87 | |
| 15 | 2002 | 56 | |
| 16 | 1999 | 18 | |
| 17 | 1996 | 17 | |
| 18 | 1995 | 67 | |
| 19 | 1994 | 165 | |
| 20 | 1993 | 40 |
About Lai‐Chu Wu
Lai‐Chu Wu is a scholar working on Immunology, Cancer Research, Virology, Molecular Medicine and Rheumatology, having authored 78 papers that have together received 2.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (14 papers), NF-κB Signaling Pathways (14 papers), Immune Cell Function and Interaction (13 papers), Cytokine Signaling Pathways and Interactions (7 papers), Immune Response and Inflammation (6 papers), MicroRNA in disease regulation (5 papers), Complement system in diseases (5 papers) and Systemic Lupus Erythematosus Research (5 papers). The work is most often cited by research in Immunology (790 citations), Cancer Research (367 citations), Hematology (244 citations), Molecular Medicine (104 citations) and Molecular Biology (1.4k citations). Lai‐Chu Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include C. Yung Yu, Sondra G. Lazarowitz, Carl E. Allen, Philip W. Shaul, L B Wells, Bernard J. Morley, R. Duncan Campbell, Shujun Liu, Andrew W. Dangel and Zhongfa Liu. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Nucleic Acids Research, Blood and Immunogenetics.
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.