Dan Huang
- Immunology top 5%
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 5
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology 7
- Virology top 10%
- Gastroenterology top 5%
- Physiology top 5%
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- Drug Transport and Resistance Mechanisms 4
- CAR-T cell therapy research 4
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- MicroRNA in disease regulation 4
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- Mycobacterium research and diagnosis 4
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- BRCA gene mutations in cancer 3
- Co-authors
- Zheng W. ChenRichard WangCrystal Y. ChenGucheng ZengYazhuo ZhangXiaoguang ChenShuyu YaoLing Shen
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Angewandte Chemie International Edition (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Dan Huang
75 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Immunology 438
- Infectious Diseases 282
- Virology 60
- Gastroenterology 68
- Physiology 51
Countries citing papers authored by Dan Huang
This map shows the geographic impact of Dan 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 Dan Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Huang more than expected).
Fields of papers citing papers by Dan Huang
This network shows the impact of papers produced by Dan 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 Dan Huang. The network helps show where Dan Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan 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 | 0 | |
| 2 | Biomimetic structural design in 3D-printed scaffolds for bone tissue engineeringbreakdown → | 2025 | 23 |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 11 | |
| 11 | 2024 | 7 | |
| 12 | 2024 | 4 | |
| 13 | 2023 | 12 | |
| 14 | 2021 | 33 | |
| 15 | 2021 | 59 | |
| 16 | 2020 | 47 | |
| 17 | 2015 | 4 | |
| 18 | 2013 | 63 | |
| 19 | Differentiation, distribution and {gamma}{delta} T cell-driven regulation of IL-22-producing T cells in tuberculosis | 2010 | 34 |
| 20 | 2008 | 66 |
About Dan Huang
Dan Huang is a scholar working on Physiology, Immunology and Biological Psychiatry, having authored 79 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), Drug Transport and Resistance Mechanisms (4 papers), MicroRNA in disease regulation (4 papers), Mycobacterium research and diagnosis (4 papers), CAR-T cell therapy research (4 papers) and BRCA gene mutations in cancer (3 papers). The work is most often cited by research in Immunology (438 citations), Infectious Diseases (282 citations) and Virology (60 citations). Dan Huang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Zheng W. Chen, Richard Wang, Crystal Y. Chen, Gucheng Zeng, Yazhuo Zhang, Xiaoguang Chen, Shuyu Yao, Ling Shen, Yun Shen and Lisa Halliday. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Journal of Clinical Investigation.
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.