Shijing Ma
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
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- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
Papers in
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- RNA modifications and cancer 3
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- Nanoplatforms for cancer theranostics 4
- Graphene and Nanomaterials Applications 4
- Co-authors
- Xiangtao Li (8 shared papers)Xi Zheng (3 shared papers)Zhiyun Du (3 shared papers)Yan He (3 shared papers)Kun Zhang (2 shared papers)Sen Jiang (2 shared papers)Yue Liu (2 shared papers)Shupeng Cheng (2 shared papers)
- Journals
- International Journal of Biological Sciences (6 papers)IEEE Access (3 papers)Frontiers in Oncology (2 papers)International Journal of Nanomedicine (2 papers)Journal of Cancer (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Shijing Ma
31 papers receiving 846 citations
Peers
Comparison fields: 5 of 115
- Biomaterials 108
- Industrial and Manufacturing Engineering 79
- Molecular Medicine 30
- Materials Chemistry 273
- Immunology 98
Countries citing papers authored by Shijing Ma
This map shows the geographic impact of Shijing Ma'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 Shijing Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shijing Ma more than expected).
Fields of papers citing papers by Shijing Ma
This network shows the impact of papers produced by Shijing Ma. 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 Shijing Ma. The network helps show where Shijing Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Shijing Ma, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 142 | |
| 2 | 2016 | 107 | |
| 3 | 2017 | 67 | |
| 4 | 2019 | 53 | |
| 5 | 2014 | 50 | |
| 6 | 2018 | 41 | |
| 7 | 2020 | 38 | |
| 8 | 2019 | 32 | |
| 9 | 2017 | 31 | |
| 10 | 2018 | 28 | |
| 11 | 2016 | 28 | |
| 12 | 2019 | 24 | |
| 13 | 2019 | 22 | |
| 14 | 2022 | 21 | |
| 15 | 2020 | 21 | |
| 16 | 2016 | 21 | |
| 17 | 2018 | 19 | |
| 18 | 2018 | 18 | |
| 19 | 2020 | 14 | |
| 20 | 2021 | 14 |
About Shijing Ma
Shijing Ma is a scholar working on Molecular Biology, Biomedical Engineering, Artificial Intelligence, Materials Chemistry and Computational Theory and Mathematics, having authored 34 papers that have together received 860 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (6 papers), Nanoplatforms for cancer theranostics (4 papers), Graphene and Nanomaterials Applications (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Nanoparticle-Based Drug Delivery (3 papers), RNA modifications and cancer (3 papers), Advanced Manufacturing and Logistics Optimization (2 papers) and Scheduling and Optimization Algorithms (2 papers). The work is most often cited by research in Biomaterials (108 citations), Industrial and Manufacturing Engineering (79 citations), Molecular Medicine (30 citations), Materials Chemistry (273 citations) and Immunology (98 citations). Shijing Ma has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Xiangtao Li, Xi Zheng, Zhiyun Du, Yan He, Kun Zhang, Sen Jiang, Yue Liu, Shupeng Cheng, Dongli Li and Huarong Huang. Their work appears in journals such as International Journal of Biological Sciences, IEEE Access, Frontiers in Oncology, International Journal of Nanomedicine and Journal of Cancer.
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.