Gui Huang
Impact in
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Advanced biosensing and bioanalysis techniques 2
- RNA modifications and cancer 2
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- Cancer-related molecular mechanisms research 3
- MicroRNA in disease regulation 1
- Co-authors
- Na Zhang (1 shared paper)Wen Xu (1 shared paper)Xuenong Zhang (6 shared papers)Wenjun Wan (4 shared papers)Jiang Wu (3 shared papers)Jing Hong (2 shared papers)Yan Zhang (1 shared paper)Qianglin Zeng (3 shared papers)
- Journals
- International Journal of Pharmaceutics (2 papers)Cancer Management and Research (2 papers)Acta Biomaterialia (2 papers)Scientific Reports (1 paper)Journal of Cellular Biochemistry (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Gui Huang
18 papers receiving 490 citations
Peers
Comparison fields: 5 of 92
- Pharmaceutical Science 94
- Cancer Research 126
- Biomaterials 85
- Modeling and Simulation 20
- Molecular Biology 297
Countries citing papers authored by Gui Huang
This map shows the geographic impact of Gui 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 Gui Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gui Huang more than expected).
Fields of papers citing papers by Gui Huang
This network shows the impact of papers produced by Gui 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 Gui Huang. The network helps show where Gui Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Gui 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 | 2005 | 128 | |
| 2 | 2018 | 77 | |
| 3 | 2016 | 45 | |
| 4 | 2021 | 41 | |
| 5 | 2021 | 41 | |
| 6 | 2022 | 33 | |
| 7 | 2019 | 31 | |
| 8 | 2023 | 25 | |
| 9 | 2020 | 21 | |
| 10 | 2019 | 12 | |
| 11 | 2023 | 10 | |
| 12 | 2018 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2016 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2021 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2019 | 0 |
About Gui Huang
Gui Huang is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Oncology and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 496 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (5 papers), Nanoparticle-Based Drug Delivery (3 papers), Cancer-related molecular mechanisms research (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), RNA modifications and cancer (2 papers), MicroRNA in disease regulation (1 paper) and Inflammation biomarkers and pathways (1 paper). The work is most often cited by research in Pharmaceutical Science (94 citations), Cancer Research (126 citations), Biomaterials (85 citations), Modeling and Simulation (20 citations) and Molecular Biology (297 citations). Gui Huang has collaborated with scholars based in China and United States. Frequent co-authors include Na Zhang, Wen Xu, Xuenong Zhang, Wenjun Wan, Jiang Wu, Jing Hong, Yan Zhang, Qianglin Zeng, Yamei Zhang and Hui Zhou. Their work appears in journals such as International Journal of Pharmaceutics, Cancer Management and Research, Acta Biomaterialia, Scientific Reports and Journal of Cellular Biochemistry.
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.