Tie Shen
Impact in
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- Electromagnetic wave absorption materials
- Metamaterials and Metasurfaces Applications
Papers in
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- Microbial Metabolic Engineering and Bioproduction 8
- Metabolomics and Mass Spectrometry Studies 4
- Bioinformatics and Genomic Networks 3
- Protein Structure and Dynamics 2
- Gene Regulatory Network Analysis 2
- Co-authors
- Haoran Zheng (5 shared papers)Yunyu Shi (4 shared papers)Hong Zhou (4 shared papers)David P. Young (2 shared papers)Suying Wei (2 shared papers)Zhiping Luo (2 shared papers)Jihui Wu (3 shared papers)Zhanhu Guo (2 shared papers)
- Journals
- Scientific Reports (1 paper)Horticulturae (1 paper)BMC Systems Biology (1 paper)Journal of Mass Spectrometry (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- ChinaUnited StatesMexico
In The Last Decade
Tie Shen
16 papers receiving 337 citations
Peers
Comparison fields: 5 of 84
- Nuclear Energy and Engineering 2
- Electronic, Optical and Magnetic Materials 77
- Polymers and Plastics 56
- Computational Mathematics 2
- General Materials Science 7
Countries citing papers authored by Tie Shen
This map shows the geographic impact of Tie Shen'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 Tie Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tie Shen more than expected).
Fields of papers citing papers by Tie Shen
This network shows the impact of papers produced by Tie Shen. 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 Tie Shen. The network helps show where Tie Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Tie Shen, 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 | 2010 | 83 | |
| 2 | 2014 | 82 | |
| 3 | 2013 | 47 | |
| 4 | 2020 | 41 | |
| 5 | 2014 | 32 | |
| 6 | 2012 | 13 | |
| 7 | 2007 | 9 | |
| 8 | 2009 | 7 | |
| 9 | 2024 | 7 | |
| 10 | 2018 | 7 | |
| 11 | 2020 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2015 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2009 | 1 | |
| 17 | 2013 | 1 | |
| 18 | 2025 | 0 |
About Tie Shen
Tie Shen is a scholar working on Molecular Biology, Materials Chemistry, Ecology, Pharmacology and Biochemistry, having authored 18 papers that have together received 345 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (8 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Bioinformatics and Genomic Networks (3 papers), Isotope Analysis in Ecology (2 papers), Protein Structure and Dynamics (2 papers), Phytochemicals and Antioxidant Activities (2 papers), Gene Regulatory Network Analysis (2 papers) and Electrochemical sensors and biosensors (1 paper). The work is most often cited by research in Nuclear Energy and Engineering (2 citations), Electronic, Optical and Magnetic Materials (77 citations), Polymers and Plastics (56 citations), Computational Mathematics (2 citations) and General Materials Science (7 citations). Tie Shen has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Haoran Zheng, Yunyu Shi, Hong Zhou, David P. Young, Suying Wei, Zhiping Luo, Jihui Wu, Zhanhu Guo, Qingliang He and Haiyan Liu. Their work appears in journals such as Scientific Reports, Horticulturae, BMC Systems Biology, Journal of Mass Spectrometry and BMC Bioinformatics.
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.