Huiling Mei
Impact in
-
- Phytochemicals and Antioxidant Activities
-
- Tea Polyphenols and Effects
Papers in
-
- Organic Food and Agriculture 3
- Plant-Microbe Interactions and Immunity 2
- Plant Molecular Biology Research 2
- Plant nutrient uptake and metabolism 2
-
- Protein Degradation and Inhibitors 2
- Co-authors
- Xinghui Li (17 shared papers)Xuan Chen (16 shared papers)Jianjie Li (12 shared papers)Anburaj Jeyaraj (9 shared papers)Dedong Cao (3 shared papers)Yu Hu (4 shared papers)Tao Guo (3 shared papers)Qiubai Li (1 shared paper)
In The Last Decade
Huiling Mei
24 papers receiving 353 citations
Peers
Comparison fields: 5 of 84
- Biochemistry 36
- Pathology and Forensic Medicine 83
- Hematology 44
- Plant Science 115
- Food Science 51
Countries citing papers authored by Huiling Mei
This map shows the geographic impact of Huiling Mei'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 Huiling Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiling Mei more than expected).
Fields of papers citing papers by Huiling Mei
This network shows the impact of papers produced by Huiling Mei. 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 Huiling Mei. The network helps show where Huiling Mei may publish in the future.
Co-authors
The 25 scholars most cited alongside Huiling Mei, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 53 | |
| 2 | 2021 | 40 | |
| 3 | 2021 | 37 | |
| 4 | 2023 | 34 | |
| 5 | 2020 | 26 | |
| 6 | 2022 | 23 | |
| 7 | 2021 | 21 | |
| 8 | 2018 | 18 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2023 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2025 | 3 | |
| 20 | 2024 | 3 |
About Huiling Mei
Huiling Mei is a scholar working on Plant Science, Molecular Biology, Pathology and Forensic Medicine, Ecology, Evolution, Behavior and Systematics and General Agricultural and Biological Sciences, having authored 25 papers that have together received 358 indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (5 papers), Organic Food and Agriculture (3 papers), Multiple Myeloma Research and Treatments (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Plant Molecular Biology Research (2 papers), Plant nutrient uptake and metabolism (2 papers), Food Quality and Safety Studies (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Biochemistry (36 citations), Pathology and Forensic Medicine (83 citations), Hematology (44 citations), Plant Science (115 citations) and Food Science (51 citations). Huiling Mei has collaborated with scholars based in China, India and Ghana. Frequent co-authors include Xinghui Li, Xuan Chen, Jianjie Li, Anburaj Jeyaraj, Dedong Cao, Yu Hu, Tao Guo, Qiubai Li, Yu Wen and Jing Zhuang. Their work appears in journals such as Foods, Forests, Journal of Agricultural and Food Chemistry, International Journal of Agricultural Sustainability and Food Research International.
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.