Chaoxin Wang
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds
Papers in
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- Rice Cultivation and Yield Improvement 2
- Plant nutrient uptake and metabolism 1
- Genetics 3
- Genetic Mapping and Diversity in Plants and Animals 3
- Co-authors
- Yintao Zhang (1 shared paper)Fengcheng Li (1 shared paper)Yu Chen (2 shared papers)Xichen Lian (1 shared paper)Yunqing Qiu (1 shared paper)Ying Zhou (1 shared paper)Feng Zhu (1 shared paper)Doina Caragea (6 shared papers)
- Journals
- Frontiers in Plant Science (2 papers)Plant Methods (1 paper)Computers and Electronics in Agriculture (1 paper)The Spine Journal (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Chaoxin Wang
12 papers receiving 629 citations
Chaoxin Wang's Hit Papers
Peers
Comparison fields: 5 of 107
- Computational Theory and Mathematics 142
- Pharmacology 51
- Biological Psychiatry 11
- Molecular Biology 230
- Plant Science 119
Countries citing papers authored by Chaoxin Wang
This map shows the geographic impact of Chaoxin 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 Chaoxin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaoxin Wang more than expected).
Fields of papers citing papers by Chaoxin Wang
This network shows the impact of papers produced by Chaoxin 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 Chaoxin Wang. The network helps show where Chaoxin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaoxin 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
| # | Work | ||
|---|---|---|---|
| 1 | Therapeutic target database update 2022: facilitating drug discovery with enriched comparative data of targeted agents Hit paper breakdown → | 2021 | 446 |
| 2 | 2021 | 45 | |
| 3 | 2023 | 35 | |
| 4 | 2022 | 32 | |
| 5 | 2020 | 20 | |
| 6 | 2023 | 16 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 12 | |
| 9 | 2018 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2021 | 3 | |
| 12 | 2023 | 1 |
About Chaoxin Wang
Chaoxin Wang is a scholar working on Plant Science, Genetics, Molecular Biology, Biomedical Engineering and Organic Chemistry, having authored 12 papers that have together received 635 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (3 papers), Rice Cultivation and Yield Improvement (2 papers), Biofuel production and bioconversion (1 paper), RNA and protein synthesis mechanisms (1 paper), Click Chemistry and Applications (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Computational Theory and Mathematics (142 citations), Pharmacology (51 citations), Biological Psychiatry (11 citations), Molecular Biology (230 citations) and Plant Science (119 citations). Chaoxin Wang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Yintao Zhang, Fengcheng Li, Yu Chen, Xichen Lian, Yunqing Qiu, Ying Zhou, Feng Zhu, Doina Caragea, S. V. Krishna Jagadish and Raju Bheemanahalli. Their work appears in journals such as Frontiers in Plant Science, Plant Methods, Computers and Electronics in Agriculture, The Spine Journal and Scientific Reports.
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.