Xiaowu Dong
Impact in
- Organic Chemistry top 2%
- Synthesis and biological activity
- Catalytic C–H Functionalization Methods
- Synthesis and Biological Evaluation
- Inorganic Chemistry top 5%
- Metal-Organic Frameworks: Synthesis and Applications
Papers in
-
- Protein Degradation and Inhibitors 33
- Ubiquitin and proteasome pathways 22
- PI3K/AKT/mTOR signaling in cancer 13
- Cancer therapeutics and mechanisms 9
- Oncology 56
- Peptidase Inhibition and Analysis 16
- Co-authors
- Yongzhou Hu (61 shared papers)Jinxin Che (75 shared papers)Qiaojun He (29 shared papers)Tao Liu (10 shared papers)Bo Yang (22 shared papers)Xin‐Yuan Liu (8 shared papers)Jinhao Zhao (10 shared papers)Jingli Cheng (6 shared papers)
In The Last Decade
Xiaowu Dong
169 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 138
- Organic Chemistry 994
- Inorganic Chemistry 349
- Molecular Biology 1.6k
- Computational Theory and Mathematics 328
- Oncology 562
Countries citing papers authored by Xiaowu Dong
This map shows the geographic impact of Xiaowu Dong'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 Xiaowu Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowu Dong more than expected).
Fields of papers citing papers by Xiaowu Dong
This network shows the impact of papers produced by Xiaowu Dong. 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 Xiaowu Dong. The network helps show where Xiaowu Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaowu Dong, 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 181 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 175 | |
| 2 | 2020 | 140 | |
| 3 | 2014 | 136 | |
| 4 | 2020 | 133 | |
| 5 | 2021 | 118 | |
| 6 | 2013 | 105 | |
| 7 | 2014 | 91 | |
| 8 | 2017 | 76 | |
| 9 | 2010 | 71 | |
| 10 | 2017 | 70 | |
| 11 | 2009 | 65 | |
| 12 | 2021 | 62 | |
| 13 | 2021 | 56 | |
| 14 | 2017 | 50 | |
| 15 | 2019 | 47 | |
| 16 | 2021 | 47 | |
| 17 | 2014 | 47 | |
| 18 | 2011 | 46 | |
| 19 | 2016 | 46 | |
| 20 | 2018 | 44 |
About Xiaowu Dong
Xiaowu Dong is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Computational Theory and Mathematics and Hematology, having authored 181 papers that have together received 3.6k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (33 papers), Computational Drug Discovery Methods (26 papers), Ubiquitin and proteasome pathways (22 papers), Synthesis and biological activity (17 papers), Peptidase Inhibition and Analysis (16 papers), PI3K/AKT/mTOR signaling in cancer (13 papers), Multiple Myeloma Research and Treatments (9 papers) and Cancer therapeutics and mechanisms (9 papers). The work is most often cited by research in Organic Chemistry (994 citations), Inorganic Chemistry (349 citations), Molecular Biology (1.6k citations), Computational Theory and Mathematics (328 citations) and Oncology (562 citations). Xiaowu Dong has collaborated with scholars based in China, Czechia and Macao. Frequent co-authors include Yongzhou Hu, Jinxin Che, Qiaojun He, Tao Liu, Bo Yang, Xin‐Yuan Liu, Jinhao Zhao, Jingli Cheng, Yong Yang and Chi‐Ming Che. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, RSC Advances and Archiv der Pharmazie.
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.