Gonghua Huang
- Immunology top 1%
- T-cell and B-cell Immunology 13
- Immunotherapy and Immune Responses 11
- Immune Cell Function and Interaction 9
- Psoriasis: Treatment and Pathogenesis 4
- Immune Response and Inflammation 4
- Cancer Research top 5%
- NF-κB Signaling Pathways 4
- Biological Psychiatry top 10%
- Molecular Biology top 10%
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions 4
-
- Allergic Rhinitis and Sensitization 4
- Co-authors
- Hongbo ChiLewis Z. ShiPeter VogelDouglas R. GreenGeoffrey NealeRuoning WangYanyan WangThirumala‐Devi Kanneganti
- Journals
- Proceedings of the National Academy of Sciences (3 papers)The Journal of Experimental Medicine (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Gonghua Huang
40 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Immunology 2.0k
- Cancer Research 478
- Biological Psychiatry 48
- Molecular Biology 1.2k
- Oncology 429
Countries citing papers authored by Gonghua Huang
This map shows the geographic impact of Gonghua 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 Gonghua Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gonghua Huang more than expected).
Fields of papers citing papers by Gonghua Huang
This network shows the impact of papers produced by Gonghua 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 Gonghua Huang. The network helps show where Gonghua Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gonghua 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 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 10 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 2 | |
| 10 | 2022 | 22 | |
| 11 | 2022 | 24 | |
| 12 | 2021 | 44 | |
| 13 | 2021 | 1 | |
| 14 | 2021 | 22 | |
| 15 | 2019 | 46 | |
| 16 | 2018 | 76 | |
| 17 | 2013 | 318 | |
| 18 | 2012 | 89 | |
| 19 | 2011 | 47 | |
| 20 | HIF1α–dependent glycolytic pathway orchestrates a metabolic checkpoint for the differentiation of TH17 and Treg cellsbreakdown → | 2011 | 1402 |
About Gonghua Huang
Gonghua Huang is a scholar working on Immunology, Immunology and Allergy and Cancer Research, having authored 41 papers that have together received 3.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), Immunotherapy and Immune Responses (11 papers), Immune Cell Function and Interaction (9 papers), Allergic Rhinitis and Sensitization (4 papers), Psoriasis: Treatment and Pathogenesis (4 papers), Immune Response and Inflammation (4 papers), NF-κB Signaling Pathways (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Immunology (2.0k citations), Cancer Research (478 citations) and Biological Psychiatry (48 citations). Gonghua Huang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hongbo Chi, Lewis Z. Shi, Peter Vogel, Douglas R. Green, Geoffrey Neale, Ruoning Wang, Yanyan Wang, Thirumala‐Devi Kanneganti, Richard L. Proia and Guangwei Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell Biology.
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.