Min Huang
- Pharmacology top 0.5%
- Berberine and alkaloids research 4
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 9
- Pharmacology top 2%
- Berberine and alkaloids research 4
- Molecular Biology top 10%
- Circular RNAs in diseases 8
- Natural product bioactivities and synthesis 7
- Angiogenesis and VEGF in Cancer 5
- Extracellular vesicles in disease 4
- Molecular Medicine top 10%
-
- Radioactive element chemistry and processing 7
- Cited by
- PharmacologyCancer Research
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Min Huang
103 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 146
- Pharmacology 501
- Cancer Research 513
- Pharmacology 531
- Molecular Biology 1.2k
- Molecular Medicine 69
Countries citing papers authored by Min Huang
This map shows the geographic impact of Min 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 Min Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Huang more than expected).
Fields of papers citing papers by Min Huang
This network shows the impact of papers produced by Min 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 Min Huang. The network helps show where Min Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Min 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 13 | |
| 14 | 2023 | 0 | |
| 15 | 2023 | 0 | |
| 16 | Dynamics Analysis of Load Cabin Carried by High-Altitude Balloons in Near Space | 2020 | 1 |
| 17 | 2015 | 243 | |
| 18 | [Induction of UGT1A1 expression by praeruptorin A and praeruptorin C through hCAR pathway]. | 2013 | 1 |
| 19 | Apoptosis mechanism of Lentinus edodes C91-3 apoptosis protein 24414 on human lung cancer cell line A549 | 2012 | 1 |
| 20 | Multimedia-aided Teaching and the Educational Reform of Common Computer Courses | 2005 | 2 |
About Min Huang
Min Huang is a scholar working on Cancer Research, Pharmacology and Molecular Biology, having authored 114 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (8 papers), Radioactive element chemistry and processing (7 papers), Natural product bioactivities and synthesis (7 papers), Angiogenesis and VEGF in Cancer (5 papers), Berberine and alkaloids research (4 papers) and Extracellular vesicles in disease (4 papers). The work is most often cited by research in Pharmacology (501 citations), Cancer Research (513 citations) and Pharmacology (531 citations). Min Huang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yiquan Ke, Chi‐Yu He, Ru Feng, Jia‐Wen Shou, Xinlin Sun, Xiang‐Shan Tan, Chao Ma, Jian‐Dong Jiang, Zhenxiong Zhao and Jihui Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Advanced Functional Materials.
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.