Bo Huang
- Immunology top 0.5%
- Immune Cell Function and Interaction 28
- Immune cells in cancer 18
- Immunotherapy and Immune Responses 16
- Oncology top 1%
- Cancer Cells and Metastasis 9
- CAR-T cell therapy research 8
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism 8
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies 7
- Molecular Biology top 2%
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- Cellular Mechanics and Interactions 7
- Co-authors
- Ke TangQingsheng LiDavid T. LevyAlice I. SatoShu‐Hsia ChenCelia M. DivinoJonathan S. BrombergPing‐Ying Pan
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Bo Huang
133 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Immunology 3.5k
- Oncology 2.1k
- Cancer Research 1.1k
- Infectious Diseases 919
- Molecular Biology 2.9k
Countries citing papers authored by Bo Huang
This map shows the geographic impact of Bo Huang'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 Bo Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Huang more than expected).
Fields of papers citing papers by Bo Huang
This network shows the impact of papers produced by Bo Huang. 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 Bo Huang. The network helps show where Bo Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bo Huang, 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 | 15 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 28 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 20 | |
| 8 | 2023 | 13 | |
| 9 | 2022 | 29 | |
| 10 | 2021 | 75 | |
| 11 | Boosting anti-PD-1 therapy with metformin-loaded macrophage-derived microparticlesbreakdown → | 2021 | 271 |
| 12 | 2020 | 43 | |
| 13 | 2020 | 88 | |
| 14 | Risk Stratification Based on Metastatic Pelvic Lymph Node Status in Stage IIIC1p Cervical Cancer | 2020 | 0 |
| 15 | 2017 | 218 | |
| 16 | 2017 | 3 | |
| 17 | 2012 | 384 | |
| 18 | 2010 | 175 | |
| 19 | 2009 | 65 | |
| 20 | 2008 | 259 |
About Bo Huang
Bo Huang is a scholar working on Immunology, Oncology and Biological Psychiatry, having authored 144 papers that have together received 8.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (28 papers), Immune cells in cancer (18 papers), Immunotherapy and Immune Responses (16 papers), Cancer Cells and Metastasis (9 papers), CAR-T cell therapy research (8 papers), Cancer, Hypoxia, and Metabolism (8 papers), Cellular Mechanics and Interactions (7 papers) and COVID-19 Clinical Research Studies (7 papers). The work is most often cited by research in Immunology (3.5k citations), Oncology (2.1k citations) and Cancer Research (1.1k citations). Bo Huang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ke Tang, Qingsheng Li, David T. Levy, Alice I. Sato, Shu‐Hsia Chen, Celia M. Divino, Jonathan S. Bromberg, Ping‐Ying Pan, Yi Zhang and Jingwei Ma. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.