Chaoxin Wang
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
Papers in
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- Rice Cultivation and Yield Improvement 3
- Plant nutrient uptake and metabolism 1
- GABA and Rice Research 1
- Genetics 3
- Genetic Mapping and Diversity in Plants and Animals 3
- Co-authors
- Yu Chen (2 shared papers)Xichen Lian (1 shared paper)Yintao Zhang (1 shared paper)Ying Zhou (1 shared paper)Fengcheng Li (1 shared paper)Feng Zhu (1 shared paper)Yunqing Qiu (1 shared paper)Doina Caragea (6 shared papers)
- Journals
- Frontiers in Plant Science (2 papers)Scientific Reports (1 paper)PLANT PHYSIOLOGY (1 paper)Computers and Electronics in Agriculture (1 paper)Bioactive Materials (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Chaoxin Wang
12 papers receiving 576 citations
Chaoxin Wang's Hit Papers
Peers
Comparison fields: 5 of 105
- Computational Theory and Mathematics 148
- Pharmacology 80
- Biological Psychiatry 13
- Complementary and alternative medicine 38
- Molecular Biology 263
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 | 417 |
| 2 | 2021 | 40 | |
| 3 | 2023 | 32 | |
| 4 | 2022 | 27 | |
| 5 | 2020 | 19 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 8 | |
| 9 | 2018 | 6 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2023 | 1 |
About Chaoxin Wang
Chaoxin Wang is a scholar working on Plant Science, Genetics, Surgery, Molecular Biology and Biomedical Engineering, having authored 12 papers that have together received 582 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Machine Learning in Bioinformatics (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Spine and Intervertebral Disc Pathology (1 paper), Computational Drug Discovery Methods (1 paper), Plant nutrient uptake and metabolism (1 paper) and GABA and Rice Research (1 paper). The work is most often cited by research in Computational Theory and Mathematics (148 citations), Pharmacology (80 citations), Biological Psychiatry (13 citations), Complementary and alternative medicine (38 citations) and Molecular Biology (263 citations). Chaoxin Wang has collaborated with scholars based in United States, China and India. Frequent co-authors include Yu Chen, Xichen Lian, Yintao Zhang, Ying Zhou, Fengcheng Li, Feng Zhu, Yunqing Qiu, Doina Caragea, S. V. Krishna Jagadish and Raju Bheemanahalli. Their work appears in journals such as Frontiers in Plant Science, Scientific Reports, PLANT PHYSIOLOGY, Computers and Electronics in Agriculture and Bioactive Materials.
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.