Hao Wu
Impact in
- Immunology top 0.05%
- interferon and immune responses
- Immune Response and Inflammation
- Molecular Biology top 0.05%
- Inflammasome and immune disorders
- Epigenetics and DNA Methylation
- Cell death mechanisms and regulation
- Heme Oxygenase-1 and Carbon Monoxide
- RNA modifications and cancer
Papers in
-
- Inflammasome and immune disorders 54
- Cell death mechanisms and regulation 42
- Epigenetics and DNA Methylation 26
- Ubiquitin and proteasome pathways 18
- RNA modifications and cancer 16
- Immunology 105
- interferon and immune responses 42
- Immune Response and Inflammation 41
- Co-authors
- Jianbin Ruan (17 shared papers)Judy Lieberman (17 shared papers)Venkat Giri Magupalli (12 shared papers)Xing Liu (7 shared papers)Zhibin Zhang (8 shared papers)Shiyu Xia (18 shared papers)Yi Eve Sun (20 shared papers)Johanna Napetschnig (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (23 papers)Molecular Cell (16 papers)Nature (15 papers)Cell (12 papers)Journal of Biological Chemistry (10 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Hao Wu
321 papers receiving 36.3k citations
Hao Wu's Hit Papers
Peers
Comparison fields: 5 of 173
- Immunology 10.7k
- Molecular Biology 25.5k
- Cancer Research 4.2k
- Nephrology 1.8k
- Developmental Neuroscience 1.0k
Countries citing papers authored by Hao Wu
This map shows the geographic impact of Hao 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 Hao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Wu more than expected).
Fields of papers citing papers by Hao Wu
This network shows the impact of papers produced by Hao 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 Hao Wu. The network helps show where Hao Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao 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
Showing the 20 most-cited of 339 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Inflammasome-activated gasdermin D causes pyroptosis by forming membrane pores Hit paper breakdown → | 2016 | 2483 |
| 2 | Gasdermin E suppresses tumour growth by activating anti-tumour immunity Hit paper breakdown → | 2020 | 1291 |
| 3 | DNA Methylation-Related Chromatin Remodeling in Activity-Dependent Bdnf Gene Regulation Hit paper breakdown → | 2003 | 1120 |
| 4 | Unified Polymerization Mechanism for the Assembly of ASC-Dependent Inflammasomes Hit paper breakdown → | 2014 | 1087 |
| 5 | The RIP1/RIP3 Necrosome Forms a Functional Amyloid Signaling Complex Required for Programmed Necrosis Hit paper breakdown → | 2012 | 966 |
| 6 | Editing DNA Methylation in the Mammalian Genome Hit paper breakdown → | 2016 | 885 |
| 7 | Helical assembly in the MyD88–IRAK4–IRAK2 complex in TLR/IL-1R signalling Hit paper breakdown → | 2010 | 853 |
| 8 | The Pore-Forming Protein Gasdermin D Regulates Interleukin-1 Secretion from Living Macrophages Hit paper breakdown → | 2017 | 850 |
| 9 | Pathogen blockade of TAK1 triggers caspase-8–dependent cleavage of gasdermin D and cell death Hit paper breakdown → | 2018 | 825 |
| 10 | FDA-approved disulfiram inhibits pyroptosis by blocking gasdermin D pore formation Hit paper breakdown → | 2020 | 813 |
| 11 | Molecular Basis of NF-κB Signaling Hit paper breakdown → | 2013 | 794 |
| 12 | Structural Mechanisms of NLRP3 Inflammasome Assembly and Activation Hit paper breakdown → | 2023 | 747 |
| 13 | Structural mechanism for NEK7-licensed activation of NLRP3 inflammasome Hit paper breakdown → | 2019 | 604 |
| 14 | Channelling inflammation: gasdermins in physiology and disease Hit paper breakdown → | 2021 | 562 |
| 15 | Distinct molecular mechanism for initiating TRAF6 signalling Hit paper breakdown → | 2002 | 551 |
| 16 | Dual functions of Tet1 in transcriptional regulation in mouse embryonic stem cells Hit paper breakdown → | 2011 | 507 |
| 17 | All TRAFs are not created equal: common and distinct molecular mechanisms of TRAF-mediated signal transduction Hit paper breakdown → | 2002 | 506 |
| 18 | 2011 | 485 | |
| 19 | 2010 | 466 | |
| 20 | An endogenous caspase-11 ligand elicits interleukin-1 release from living dendritic cells Hit paper breakdown → | 2016 | 457 |
About Hao Wu
Hao Wu is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Cell Biology, having authored 339 papers that have together received 36.6k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (54 papers), interferon and immune responses (42 papers), NF-κB Signaling Pathways (42 papers), Cell death mechanisms and regulation (42 papers), Immune Response and Inflammation (41 papers), Epigenetics and DNA Methylation (26 papers), Ubiquitin and proteasome pathways (18 papers) and RNA modifications and cancer (16 papers). The work is most often cited by research in Immunology (10.7k citations), Molecular Biology (25.5k citations), Cancer Research (4.2k citations), Nephrology (1.8k citations) and Developmental Neuroscience (1.0k citations). Hao Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jianbin Ruan, Judy Lieberman, Venkat Giri Magupalli, Xing Liu, Zhibin Zhang, Shiyu Xia, Yi Eve Sun, Johanna Napetschnig, Yi Zhang and Jianing Fu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell, Nature, Cell and Journal of Biological Chemistry.
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.