Liuhui Fu
Impact in
- Biological Psychiatry top 10%
- Biochemistry top 10%
- Sulfur Compounds in Biology
Papers in
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- Immune Cell Function and Interaction 4
- IL-33, ST2, and ILC Pathways 3
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- Clostridium difficile and Clostridium perfringens research 2
- Co-authors
- Xiaohuan Guo (5 shared papers)Jiaoyan Huang (4 shared papers)Wenyan Wang (3 shared papers)Yao He (2 shared papers)Xin Dong (2 shared papers)Charles R. Mackay (1 shared paper)Mingli Gong (1 shared paper)Jing Zhang (1 shared paper)
- Journals
- PLoS ONE (1 paper)Oxidative Medicine and Cellular Longevity (1 paper)Mucosal Immunology (1 paper)Cell Metabolism (1 paper)Nature (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Liuhui Fu
10 papers receiving 918 citations
Liuhui Fu's Hit Papers
Peers
Comparison fields: 5 of 105
- Biological Psychiatry 37
- Biochemistry 63
- Immunology 157
- Oncology 179
- Anesthesiology and Pain Medicine 31
Countries citing papers authored by Liuhui Fu
This map shows the geographic impact of Liuhui Fu'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 Liuhui Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liuhui Fu more than expected).
Fields of papers citing papers by Liuhui Fu
This network shows the impact of papers produced by Liuhui Fu. 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 Liuhui Fu. The network helps show where Liuhui Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Liuhui Fu, 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 | Gut microbial metabolites facilitate anticancer therapy efficacy by modulating cytotoxic CD8+ T cell immunity Hit paper breakdown → | 2021 | 514 |
| 2 | 2016 | 100 | |
| 3 | 2014 | 87 | |
| 4 | 2018 | 69 | |
| 5 | 2021 | 50 | |
| 6 | 2022 | 43 | |
| 7 | PRDM16-dependent antigen-presenting cells induce tolerance to gut antigens Hit paper breakdown → | 2025 | 24 |
| 8 | 2022 | 23 | |
| 9 | 2024 | 9 | |
| 10 | 2018 | 1 | |
| 11 | 2025 | 0 |
About Liuhui Fu
Liuhui Fu is a scholar working on Immunology, Infectious Diseases, Surgery, Molecular Biology and Plant Science, having authored 11 papers that have together received 920 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), IL-33, ST2, and ILC Pathways (3 papers), Postharvest Quality and Shelf Life Management (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Eosinophilic Esophagitis (2 papers), Horticultural and Viticultural Research (1 paper), Anesthesia and Sedative Agents (1 paper) and Meat and Animal Product Quality (1 paper). The work is most often cited by research in Biological Psychiatry (37 citations), Biochemistry (63 citations), Immunology (157 citations), Oncology (179 citations) and Anesthesiology and Pain Medicine (31 citations). Liuhui Fu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaohuan Guo, Jiaoyan Huang, Wenyan Wang, Yao He, Xin Dong, Charles R. Mackay, Mingli Gong, Jing Zhang, Yang‐Xin Fu and Yun Chen. Their work appears in journals such as PLoS ONE, Oxidative Medicine and Cellular Longevity, Mucosal Immunology, Cell Metabolism and Nature.
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.