Chen Huang
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
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- Pharmaceutical and Antibiotic Environmental Impacts
Papers in
-
- Pharmaceutical and Antibiotic Environmental Impacts 6
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- Antibiotic Resistance in Bacteria 3
- Co-authors
- Yao Ma (3 shared papers)Jieyun Tian (2 shared papers)Chao Xu (3 shared papers)Liang Wu (3 shared papers)Jing Ye (3 shared papers)Lu Tian (2 shared papers)Anzhi Wei (3 shared papers)Xiao-Na Wang (3 shared papers)
- Journals
- Foods (2 papers)Bulletin of Environmental Contamination and Toxicology (1 paper)International Journal of Biological Macromolecules (1 paper)ACS Applied Materials & Interfaces (1 paper)Science China Life Sciences (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Chen Huang
31 papers receiving 413 citations
Peers
Comparison fields: 5 of 78
- Molecular Medicine 41
- Pollution 56
- Plant Science 108
- Endocrinology 13
- Environmental Chemistry 23
Countries citing papers authored by Chen Huang
This map shows the geographic impact of Chen 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 Chen Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Huang more than expected).
Fields of papers citing papers by Chen Huang
This network shows the impact of papers produced by Chen 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 Chen Huang. The network helps show where Chen Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen 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
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 44 | |
| 2 | 2021 | 32 | |
| 3 | 2013 | 27 | |
| 4 | Emodin and baicalein inhibit pancreatic stromal derived factor-1 expression in rats with acute pancreatitis. | 2009 | 26 |
| 5 | 2023 | 24 | |
| 6 | 2013 | 22 | |
| 7 | 2021 | 21 | |
| 8 | 2020 | 20 | |
| 9 | 2017 | 20 | |
| 10 | 2018 | 20 | |
| 11 | 2024 | 16 | |
| 12 | 2019 | 15 | |
| 13 | 2024 | 14 | |
| 14 | 2024 | 14 | |
| 15 | 2018 | 13 | |
| 16 | 2023 | 13 | |
| 17 | 2019 | 12 | |
| 18 | 2021 | 10 | |
| 19 | 2020 | 8 | |
| 20 | 2021 | 7 |
About Chen Huang
Chen Huang is a scholar working on Pollution, Molecular Medicine, Immunology, Molecular Biology and Cancer Research, having authored 31 papers that have together received 420 indexed citations. Recurring topics across this work include Pharmaceutical and Antibiotic Environmental Impacts (6 papers), Antibiotic Resistance in Bacteria (3 papers), Plant Molecular Biology Research (2 papers), Immune cells in cancer (2 papers), Biosensors and Analytical Detection (2 papers), RNA modifications and cancer (2 papers), Immune Response and Inflammation (2 papers) and Plant chemical constituents analysis (2 papers). The work is most often cited by research in Molecular Medicine (41 citations), Pollution (56 citations), Plant Science (108 citations), Endocrinology (13 citations) and Environmental Chemistry (23 citations). Chen Huang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Yao Ma, Jieyun Tian, Chao Xu, Liang Wu, Jing Ye, Lu Tian, Anzhi Wei, Xiao-Na Wang, Min Wang and Tian Wan. Their work appears in journals such as Foods, Bulletin of Environmental Contamination and Toxicology, International Journal of Biological Macromolecules, ACS Applied Materials & Interfaces and Science China Life Sciences.
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.