Xihao Hu
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- Oncology top 1%
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 13
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 6
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- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- X. Shirley LiuGordon J. FreemanBo LiShengqing GuJingxin FuKai W. WucherpfennigPeng JiangAvinash Sahu
- Journals
- Nucleic Acids Research (4 papers)Nature Medicine (2 papers)Nature Genetics (2 papers)Bioinformatics (2 papers)Blood (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xihao Hu
29 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Cancer Research 1.3k
- Oncology 2.0k
- Immunology 1.4k
- Pulmonary and Respiratory Medicine 1.9k
- Molecular Biology 2.2k
Countries citing papers authored by Xihao Hu
This map shows the geographic impact of Xihao 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 Xihao Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xihao Hu more than expected).
Fields of papers citing papers by Xihao Hu
This network shows the impact of papers produced by Xihao 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 Xihao Hu. The network helps show where Xihao Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xihao 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 150 | |
| 6 | 2020 | 88 | |
| 7 | 2019 | 104 | |
| 8 | 2018 | 111 | |
| 9 | 2018 | 32 | |
| 10 | Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response Hit paper breakdown → | 2018 | 3242 |
| 11 | 2018 | 7 | |
| 12 | 2017 | 134 | |
| 13 | 2017 | 25 | |
| 14 | 2016 | 86 | |
| 15 | 2015 | 65 | |
| 16 | 2014 | 29 | |
| 17 | 2010 | 16 | |
| 18 | 2010 | 12 | |
| 19 | 2009 | 2 | |
| 20 | 2008 | 17 |
About Xihao Hu
Xihao Hu is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Oncology, Cancer Research and Geriatrics and Gerontology, having authored 30 papers that have together received 4.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), RNA modifications and cancer (6 papers), Immunotherapy and Immune Responses (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), RNA Research and Splicing (5 papers) and Ferroptosis and cancer prognosis (4 papers). The work is most often cited by research in Cancer Research (1.3k citations), Oncology (2.0k citations), Immunology (1.4k citations), Pulmonary and Respiratory Medicine (1.9k citations) and Molecular Biology (2.2k citations). Xihao Hu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include X. Shirley Liu, Gordon J. Freeman, Bo Li, Shengqing Gu, Jingxin Fu, Kai W. Wucherpfennig, Peng Jiang, Avinash Sahu, Jun Liu and Myles Brown. Their work appears in journals such as Nucleic Acids Research, Nature Medicine, Nature Genetics, Bioinformatics and Blood.
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.