Deyan Wu
Impact in
-
- Computational Drug Discovery Methods
- Organic Chemistry top 10%
- Asymmetric Synthesis and Catalysis
- Synthesis and biological activity
Papers in
-
- Asymmetric Synthesis and Catalysis 5
- Synthesis and biological activity 5
- Catalytic C–H Functionalization Methods 2
-
- Computational Drug Discovery Methods 8
- Co-authors
- Hai-Bin Luo (21 shared papers)Yi‐You Huang (13 shared papers)Zhe Li (8 shared papers)Yinuo Wu (9 shared papers)Jian Li (10 shared papers)Chen Zhang (9 shared papers)Jin Zhu (8 shared papers)Hao Li (3 shared papers)
- Journals
- Journal of Medicinal Chemistry (6 papers)Acta Pharmaceutica Sinica B (4 papers)Asian Journal of Organic Chemistry (2 papers)Chemical Communications (2 papers)ACS Chemical Neuroscience (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Deyan Wu
35 papers receiving 1k citations
Peers
Comparison fields: 5 of 77
- Computational Theory and Mathematics 211
- Organic Chemistry 283
- Pharmacology 94
- Molecular Biology 338
- Infectious Diseases 95
Countries citing papers authored by Deyan Wu
This map shows the geographic impact of Deyan 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 Deyan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deyan Wu more than expected).
Fields of papers citing papers by Deyan Wu
This network shows the impact of papers produced by Deyan 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 Deyan Wu. The network helps show where Deyan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Deyan 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 212 | |
| 2 | 2018 | 107 | |
| 3 | 2021 | 82 | |
| 4 | 2013 | 75 | |
| 5 | 2019 | 53 | |
| 6 | 2011 | 48 | |
| 7 | 2017 | 45 | |
| 8 | 2017 | 40 | |
| 9 | 2017 | 39 | |
| 10 | 2017 | 38 | |
| 11 | 2021 | 30 | |
| 12 | 2011 | 28 | |
| 13 | 2015 | 27 | |
| 14 | 2012 | 26 | |
| 15 | 2018 | 25 | |
| 16 | 2020 | 24 | |
| 17 | 2013 | 20 | |
| 18 | 2007 | 17 | |
| 19 | 2023 | 16 | |
| 20 | 2016 | 15 |
About Deyan Wu
Deyan Wu is a scholar working on Organic Chemistry, Computational Theory and Mathematics, Molecular Biology, Pharmacology and Oncology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Phosphodiesterase function and regulation (13 papers), Computational Drug Discovery Methods (8 papers), Asymmetric Synthesis and Catalysis (5 papers), Synthesis and biological activity (5 papers), Inflammatory mediators and NSAID effects (2 papers), Bioactive natural compounds (2 papers), Catalytic C–H Functionalization Methods (2 papers) and Molecular Sensors and Ion Detection (1 paper). The work is most often cited by research in Computational Theory and Mathematics (211 citations), Organic Chemistry (283 citations), Pharmacology (94 citations), Molecular Biology (338 citations) and Infectious Diseases (95 citations). Deyan Wu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Hai-Bin Luo, Yi‐You Huang, Zhe Li, Yinuo Wu, Jian Li, Chen Zhang, Jin Zhu, Hao Li, Wei Wang and Sinan Wang. Their work appears in journals such as Journal of Medicinal Chemistry, Acta Pharmaceutica Sinica B, Asian Journal of Organic Chemistry, Chemical Communications and ACS Chemical Neuroscience.
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.