Chenxi Du
Impact in
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
- Modeling and Simulation top 10%
- Mathematical Biology Tumor Growth
Papers in
-
- Computational Drug Discovery Methods 12
- Pharmacology 10
- Cholinesterase and Neurodegenerative Diseases 10
- Co-authors
- Haopeng Sun (14 shared papers)Meng Liu (2 shared papers)Wenyuan Liu (6 shared papers)Yingli Yang (1 shared paper)Lei Wang (4 shared papers)Chen Yao (3 shared papers)Xin Lü (8 shared papers)Qihang Li (5 shared papers)
- Journals
- Bioorganic Chemistry (2 papers)Chinese Journal of Chemistry (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Journal of Medicinal Chemistry (2 papers)Dose-Response (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Chenxi Du
34 papers receiving 455 citations
Peers
Comparison fields: 5 of 100
- Pharmacology 119
- Modeling and Simulation 33
- Computational Theory and Mathematics 74
- Complementary and alternative medicine 26
- Genetics 25
Countries citing papers authored by Chenxi Du
This map shows the geographic impact of Chenxi Du'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 Chenxi Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenxi Du more than expected).
Fields of papers citing papers by Chenxi Du
This network shows the impact of papers produced by Chenxi Du. 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 Chenxi Du. The network helps show where Chenxi Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenxi Du, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 67 | |
| 2 | 2017 | 63 | |
| 3 | 2022 | 43 | |
| 4 | 2020 | 28 | |
| 5 | 2023 | 26 | |
| 6 | 2019 | 26 | |
| 7 | 2018 | 25 | |
| 8 | 2019 | 17 | |
| 9 | 2022 | 16 | |
| 10 | 2021 | 14 | |
| 11 | 2025 | 12 | |
| 12 | 2025 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2024 | 9 | |
| 17 | 2024 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2023 | 8 | |
| 20 | 2020 | 7 |
About Chenxi Du
Chenxi Du is a scholar working on Computational Theory and Mathematics, Pharmacology, Complementary and alternative medicine, Environmental Engineering and Molecular Biology, having authored 39 papers that have together received 461 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Cholinesterase and Neurodegenerative Diseases (10 papers), Medicinal Plants and Neuroprotection (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Nanoplatforms for cancer theranostics (3 papers), Plant Molecular Biology Research (2 papers), Advanced Nanomaterials in Catalysis (2 papers) and Graphene and Nanomaterials Applications (2 papers). The work is most often cited by research in Pharmacology (119 citations), Modeling and Simulation (33 citations), Computational Theory and Mathematics (74 citations), Complementary and alternative medicine (26 citations) and Genetics (25 citations). Chenxi Du has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Haopeng Sun, Meng Liu, Wenyuan Liu, Yingli Yang, Lei Wang, Chen Yao, Xin Lü, Qihang Li, Weimin Qiu and Tianyu Sun. Their work appears in journals such as Bioorganic Chemistry, Chinese Journal of Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry and Dose-Response.
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.