Luni Hu
Impact in
-
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
-
- DNA and Nucleic Acid Chemistry
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- Protein Degradation and Inhibitors
- Epigenetics and DNA Methylation
Papers in
-
- IL-33, ST2, and ILC Pathways 7
- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 2
- Reproductive System and Pregnancy 1
-
- Cell Image Analysis Techniques 2
- Advanced Fluorescence Microscopy Techniques 2
- Co-authors
- Tian‐Miao Ou (1 shared paper)Shuo-Bin Chen (1 shared paper)Jia‐Heng Tan (1 shared paper)Yuqing Wang (1 shared paper)Zhi‐Shu Huang (1 shared paper)Ming-Hao Hu (1 shared paper)Chao Zhong (9 shared papers)Xingyu Zhao (7 shared papers)
- Journals
- Nature Communications (5 papers)Nature Metabolism (2 papers)Frontiers in Immunology (2 papers)GigaScience (1 paper)Patterns (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Luni Hu
16 papers receiving 260 citations
Peers
Comparison fields: 5 of 50
- Immunology 65
- Molecular Biology 153
- Cancer Research 11
- Oncology 20
- Pathology and Forensic Medicine 12
Countries citing papers authored by Luni Hu
This map shows the geographic impact of Luni Hu'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 Luni Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luni Hu more than expected).
Fields of papers citing papers by Luni Hu
This network shows the impact of papers produced by Luni Hu. 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 Luni Hu. The network helps show where Luni Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Luni Hu, 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 | 92 | |
| 2 | 2022 | 41 | |
| 3 | 2023 | 39 | |
| 4 | 2021 | 28 | |
| 5 | 2025 | 17 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 5 | |
| 9 | 2024 | 5 | |
| 10 | 2025 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2025 | 3 | |
| 13 | 2018 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2026 | 1 | |
| 17 | 2024 | 0 |
About Luni Hu
Luni Hu is a scholar working on Immunology, Biophysics, Molecular Biology, Pharmaceutical Science and Surgery, having authored 17 papers that have together received 262 indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (7 papers), Immune Cell Function and Interaction (7 papers), Single-cell and spatial transcriptomics (4 papers), Eosinophilic Esophagitis (3 papers), Cell Image Analysis Techniques (2 papers), T-cell and B-cell Immunology (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Immunology (65 citations), Molecular Biology (153 citations), Cancer Research (11 citations), Oncology (20 citations) and Pathology and Forensic Medicine (12 citations). Luni Hu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tian‐Miao Ou, Shuo-Bin Chen, Jia‐Heng Tan, Yuqing Wang, Zhi‐Shu Huang, Ming-Hao Hu, Chao Zhong, Xingyu Zhao, Yanyu Zeng and Jun Li. Their work appears in journals such as Nature Communications, Nature Metabolism, Frontiers in Immunology, GigaScience and Patterns.
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.