Meimei Chen
- Molecular Biology
- Materials Chemistry
- Electronic, Optical and Magnetic Materials top 10%
- Global and Planetary Change top 10%
- Biomedical Engineering
- Topics
- Computational Drug Discovery Methods (11 papers)Rural development and sustainability (7 papers)Land Use and Ecosystem Services (5 papers)
- Cited by
- General Agricultural and Biological SciencesUrban StudiesElectronic, Optical and Magnetic Materials
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Meimei Chen
100 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 180
- Molecular Biology 301
- Materials Chemistry 252
- Electronic, Optical and Magnetic Materials 198
- Global and Planetary Change 195
- Biomedical Engineering 180
Countries citing papers authored by Meimei Chen
This map shows the geographic impact of Meimei Chen'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 Meimei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meimei Chen more than expected).
Fields of papers citing papers by Meimei Chen
This network shows the impact of papers produced by Meimei Chen. 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 Meimei Chen. The network helps show where Meimei Chen may publish in the future.
Co-authorship network of co-authors of Meimei Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Meimei Chen. A scholar is included among the top collaborators of Meimei Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Meimei Chen. Meimei Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 14 | |
| 6 | 18 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 17 | |
| 11 | 0 | |
| 12 | 25 | |
| 13 | 21 | |
| 14 | 5 | |
| 15 | 31 | |
| 16 | 59 | |
| 17 | Discussion on model and algorithm of health state differentiation | 3 |
| 18 | Effect of nutrient limitation on allelopathy produced of Skeletonema costatum | 2 |
| 19 | A clinically based service limitation option for alternative model rural hospitals. | 3 |
| 20 | 1 |
About Meimei Chen
Meimei Chen is a scholar working on Computational Mathematics, General Agricultural and Biological Sciences and Computational Theory and Mathematics, having authored 114 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Rural development and sustainability (7 papers) and Land Use and Ecosystem Services (5 papers). The work is most often cited by research in General Agricultural and Biological Sciences (116 citations), Urban Studies (72 citations) and Electronic, Optical and Magnetic Materials (198 citations). Meimei Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xinglong Che, Libang Ma, Shichun Liu, Aijun Lin, Qing Cao, Xuhong Zhang, Fang Fang, Fang Fang, Qi Wang and Libang Ma. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications and PLoS ONE.
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.