Tingyi Wang
Impact in
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications
- Supramolecular Self-Assembly in Materials
- Nanoparticle-Based Drug Delivery
- Developmental Neuroscience top 5%
Papers in
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- RNA Interference and Gene Delivery 4
- Advanced biosensing and bioanalysis techniques 4
- Co-authors
- David R. Nisbet (11 shared papers)Clare L. Parish (12 shared papers)Kiara F. Bruggeman (6 shared papers)Frank Caruso (6 shared papers)Wei‐Ssu Liao (3 shared papers)Ying Tan (2 shared papers)Chong‐You Chen (2 shared papers)Chang‐Ming Wang (2 shared papers)
In The Last Decade
Tingyi Wang
60 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 130
- Biomaterials 527
- Developmental Neuroscience 103
- Cellular and Molecular Neuroscience 236
- Molecular Medicine 62
- Biomedical Engineering 474
Countries citing papers authored by Tingyi Wang
This map shows the geographic impact of Tingyi Wang'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 Tingyi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingyi Wang more than expected).
Fields of papers citing papers by Tingyi Wang
This network shows the impact of papers produced by Tingyi Wang. 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 Tingyi Wang. The network helps show where Tingyi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Tingyi Wang, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 144 | |
| 2 | 2014 | 128 | |
| 3 | 2020 | 112 | |
| 4 | 2015 | 102 | |
| 5 | 2017 | 96 | |
| 6 | 2017 | 83 | |
| 7 | 2012 | 80 | |
| 8 | 2017 | 76 | |
| 9 | 2018 | 72 | |
| 10 | 2014 | 70 | |
| 11 | 2020 | 67 | |
| 12 | 2020 | 65 | |
| 13 | 2013 | 54 | |
| 14 | 2017 | 49 | |
| 15 | 2012 | 44 | |
| 16 | 2015 | 43 | |
| 17 | 2022 | 36 | |
| 18 | 2019 | 36 | |
| 19 | 2019 | 36 | |
| 20 | 2022 | 35 |
About Tingyi Wang
Tingyi Wang is a scholar working on Materials Chemistry, Molecular Biology, Biomaterials, Cellular and Molecular Neuroscience and Ocean Engineering, having authored 63 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nerve injury and regeneration (8 papers), Supramolecular Self-Assembly in Materials (6 papers), Enhanced Oil Recovery Techniques (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), RNA Interference and Gene Delivery (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Biomaterials (527 citations), Developmental Neuroscience (103 citations), Cellular and Molecular Neuroscience (236 citations), Molecular Medicine (62 citations) and Biomedical Engineering (474 citations). Tingyi Wang has collaborated with scholars based in Australia, China and Taiwan. Frequent co-authors include David R. Nisbet, Clare L. Parish, Kiara F. Bruggeman, Frank Caruso, Wei‐Ssu Liao, Ying Tan, Chong‐You Chen, Chang‐Ming Wang, Richard J. Williams and John S. Forsythe. Their work appears in journals such as Advanced Healthcare Materials, Advanced Science, Nuclear Engineering and Design, Colloids and Surfaces A Physicochemical and Engineering Aspects and ACS Sensors.
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.