Taijin Wang
Impact in
- Organic Chemistry top 10%
- Synthesis and biological activity
- Click Chemistry and Applications
- Synthesis and Biological Evaluation
Papers in
-
- Cancer therapeutics and mechanisms 4
- Protein Degradation and Inhibitors 2
- Oncology 10
- PARP inhibition in cancer therapy 3
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Lijuan Chen (13 shared papers)Zhuang Yang (7 shared papers)Minghai Tang (8 shared papers)Liang Ma (5 shared papers)Dong Cao (4 shared papers)Wei Xiang (3 shared papers)Fang Wang (2 shared papers)Linhong He (4 shared papers)
- Journals
- Journal of Medicinal Chemistry (5 papers)European Journal of Medicinal Chemistry (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Molecular Simulation (2 papers)Journal of Chemical Information and Modeling (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Taijin Wang
22 papers receiving 438 citations
Peers
Comparison fields: 5 of 64
- Organic Chemistry 201
- Toxicology 18
- Oncology 124
- Molecular Biology 264
- Computational Theory and Mathematics 45
Countries citing papers authored by Taijin Wang
This map shows the geographic impact of Taijin 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 Taijin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taijin Wang more than expected).
Fields of papers citing papers by Taijin Wang
This network shows the impact of papers produced by Taijin 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 Taijin Wang. The network helps show where Taijin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Taijin 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 97 | |
| 2 | 2015 | 91 | |
| 3 | 2016 | 56 | |
| 4 | 2018 | 33 | |
| 5 | 2018 | 31 | |
| 6 | 2017 | 29 | |
| 7 | 2017 | 26 | |
| 8 | 2016 | 22 | |
| 9 | 2018 | 14 | |
| 10 | 2016 | 11 | |
| 11 | 2016 | 6 | |
| 12 | 2024 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2025 | 3 | |
| 15 | 2025 | 3 | |
| 16 | 2016 | 3 | |
| 17 | 2016 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2017 | 2 | |
| 20 | 2013 | 2 |
About Taijin Wang
Taijin Wang is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 25 papers that have together received 447 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Synthesis and biological activity (5 papers), Cancer therapeutics and mechanisms (4 papers), PARP inhibition in cancer therapy (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Quinazolinone synthesis and applications (2 papers), Protein Degradation and Inhibitors (2 papers) and Synthesis and Biological Evaluation (2 papers). The work is most often cited by research in Organic Chemistry (201 citations), Toxicology (18 citations), Oncology (124 citations), Molecular Biology (264 citations) and Computational Theory and Mathematics (45 citations). Taijin Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lijuan Chen, Zhuang Yang, Minghai Tang, Liang Ma, Dong Cao, Wei Xiang, Fang Wang, Linhong He, Yuanyuan Zhou and Xiaoyan Wang. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Molecular Simulation and Journal of Chemical Information and Modeling.
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.