Tun Wu
Impact in
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials
- Inorganic Chemistry top 10%
- Metal-Organic Frameworks: Synthesis and Applications
Papers in ⓘ
-
- Supramolecular Chemistry and Complexes 34
-
- Luminescence and Fluorescent Materials 7
- Porphyrin and Phthalocyanine Chemistry 7
- Covalent Organic Framework Applications 3
- Co-authors
- Pingshan Wang (44 shared papers)Mingzhao Chen (16 shared papers)Zhiyuan Jiang (21 shared papers)Die Liu (14 shared papers)Zhilong Jiang (11 shared papers)Ting‐Zheng Xie (20 shared papers)Yiming Li (11 shared papers)Zhe Zhang (21 shared papers)
- Journals
- Inorganic Chemistry (7 papers)Organic Chemistry Frontiers (4 papers)Chemical Communications (3 papers)Dalton Transactions (3 papers)Angewandte Chemie International Edition (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Tun Wu
41 papers receiving 356 citations
Peers
Comparison fields: 5 of 34
- Biomaterials 127
- Inorganic Chemistry 131
- Organic Chemistry 260
- Spectroscopy 117
- Materials Chemistry 153
Countries citing papers authored by Tun Wu
This map shows the geographic impact of Tun Wu'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 Tun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tun Wu more than expected).
Fields of papers citing papers by Tun Wu
This network shows the impact of papers produced by Tun Wu. 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 Tun Wu. The network helps show where Tun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tun Wu, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 48 | |
| 2 | 2018 | 44 | |
| 3 | 2015 | 38 | |
| 4 | 2020 | 32 | |
| 5 | 2023 | 23 | |
| 6 | 2024 | 17 | |
| 7 | 2021 | 17 | |
| 8 | 2017 | 15 | |
| 9 | 2022 | 14 | |
| 10 | 2017 | 12 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 8 | |
| 13 | 2015 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2018 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2022 | 4 |
About Tun Wu
Tun Wu is a scholar working on Organic Chemistry, Materials Chemistry, Inorganic Chemistry, Spectroscopy and Biomaterials, having authored 45 papers that have together received 360 indexed citations. Recurring topics across this work include Supramolecular Chemistry and Complexes (34 papers), Molecular Sensors and Ion Detection (16 papers), Metal-Organic Frameworks: Synthesis and Applications (16 papers), Supramolecular Self-Assembly in Materials (14 papers), Magnetism in coordination complexes (7 papers), Luminescence and Fluorescent Materials (7 papers), Porphyrin and Phthalocyanine Chemistry (7 papers) and Covalent Organic Framework Applications (3 papers). The work is most often cited by research in Biomaterials (127 citations), Inorganic Chemistry (131 citations), Organic Chemistry (260 citations), Spectroscopy (117 citations) and Materials Chemistry (153 citations). Tun Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Pingshan Wang, Mingzhao Chen, Zhiyuan Jiang, Die Liu, Zhilong Jiang, Ting‐Zheng Xie, Yiming Li, Zhe Zhang, Jun Wang and Jun Yan. Their work appears in journals such as Inorganic Chemistry, Organic Chemistry Frontiers, Chemical Communications, Dalton Transactions and Angewandte Chemie International Edition.
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.