Teng Chi
Impact in
- Pharmaceutical Science top 10%
- Fluorine in Organic Chemistry
- Organic Chemistry top 10%
- Catalytic C–H Functionalization Methods
- Cyclopropane Reaction Mechanisms
- Radical Photochemical Reactions
- Sulfur-Based Synthesis Techniques
- Photopolymerization techniques and applications
Papers in
-
- Supramolecular Chemistry and Complexes 5
- Photopolymerization techniques and applications 3
-
- Supramolecular Self-Assembly in Materials 5
- Nanoparticle-Based Drug Delivery 2
- Co-authors
- Zhishi Ye (1 shared paper)Yong Li (1 shared paper)Mingji Dai (1 shared paper)Zhou Ye (7 shared papers)Bryan W. Boudouris (6 shared papers)Liang Pan (4 shared papers)Xianfan Xu (4 shared papers)Matthew J. Webber (8 shared papers)
- Journals
- Advanced Functional Materials (2 papers)Bioconjugate Chemistry (1 paper)Advanced Optical Materials (1 paper)Nano Letters (1 paper)Polymer Chemistry (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Teng Chi
17 papers receiving 311 citations
Peers
Comparison fields: 5 of 46
- Pharmaceutical Science 50
- Organic Chemistry 172
- Molecular Medicine 20
- Biomaterials 36
- Inorganic Chemistry 29
Countries citing papers authored by Teng Chi
This map shows the geographic impact of Teng Chi'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 Teng Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teng Chi more than expected).
Fields of papers citing papers by Teng Chi
This network shows the impact of papers produced by Teng Chi. 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 Teng Chi. The network helps show where Teng Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Teng Chi, 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 | 2015 | 136 | |
| 2 | 2019 | 26 | |
| 3 | 2021 | 23 | |
| 4 | 2023 | 20 | |
| 5 | 2024 | 19 | |
| 6 | 2023 | 17 | |
| 7 | 2021 | 13 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2022 | 7 | |
| 13 | 2025 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 |
About Teng Chi
Teng Chi is a scholar working on Organic Chemistry, Biomaterials, Biomedical Engineering, Materials Chemistry and Molecular Medicine, having authored 19 papers that have together received 318 indexed citations. Recurring topics across this work include Supramolecular Chemistry and Complexes (5 papers), Supramolecular Self-Assembly in Materials (5 papers), Hydrogels: synthesis, properties, applications (3 papers), Photopolymerization techniques and applications (3 papers), Nonlinear Optical Materials Studies (3 papers), Organic Electronics and Photovoltaics (2 papers), Microtubule and mitosis dynamics (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Pharmaceutical Science (50 citations), Organic Chemistry (172 citations), Molecular Medicine (20 citations), Biomaterials (36 citations) and Inorganic Chemistry (29 citations). Teng Chi has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Zhishi Ye, Yong Li, Mingji Dai, Zhou Ye, Bryan W. Boudouris, Liang Pan, Xianfan Xu, Matthew J. Webber, Bo Su and Yuanhui Xiang. Their work appears in journals such as Advanced Functional Materials, Bioconjugate Chemistry, Advanced Optical Materials, Nano Letters and Polymer Chemistry.
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.