Chaofeng Lou
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Cholinesterase and Neurodegenerative Diseases
- Pharmacological Effects of Natural Compounds
Papers in
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- Computational Drug Discovery Methods 10
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- Metabolomics and Mass Spectrometry Studies 3
- Chemical Synthesis and Analysis 2
- Co-authors
- Weihua Li (10 shared papers)Guixia Liu (10 shared papers)Hongbin Yang (4 shared papers)Yun Tang (1 shared paper)Zhuang Wang (1 shared paper)Lixia Sun (1 shared paper)Yingchun Cai (1 shared paper)Jie Li (1 shared paper)
- Journals
- Journal of Cheminformatics (3 papers)Molecular Informatics (1 paper)iScience (1 paper)Briefings in Bioinformatics (1 paper)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- China
In The Last Decade
Chaofeng Lou
11 papers receiving 1.2k citations
Chaofeng Lou's Hit Papers
Peers
Comparison fields: 5 of 111
- Computational Theory and Mathematics 564
- Pharmacology 143
- Toxicology 36
- Organic Chemistry 260
- Pharmacology 119
Countries citing papers authored by Chaofeng Lou
This map shows the geographic impact of Chaofeng Lou'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 Chaofeng Lou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaofeng Lou more than expected).
Fields of papers citing papers by Chaofeng Lou
This network shows the impact of papers produced by Chaofeng Lou. 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 Chaofeng Lou. The network helps show where Chaofeng Lou may publish in the future.
Co-authors
The 18 scholars most cited alongside Chaofeng Lou, 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 | admetSAR 2.0: web-service for prediction and optimization of chemical ADMET properties Hit paper breakdown → | 2018 | 1001 |
| 2 | admetSAR3.0: a comprehensive platform for exploration, prediction and optimization of chemical ADMET properties Hit paper breakdown → | 2024 | 77 |
| 3 | 2020 | 61 | |
| 4 | 2022 | 27 | |
| 5 | 2022 | 16 | |
| 6 | 2022 | 16 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 13 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 2 | |
| 11 | 2024 | 2 |
About Chaofeng Lou
Chaofeng Lou is a scholar working on Computational Theory and Mathematics, Molecular Biology, Spectroscopy, Oncology and Pharmacology, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Analytical Chemistry and Chromatography (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Chemistry and Chemical Engineering (2 papers), Chemical Synthesis and Analysis (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Estrogen and related hormone effects (1 paper) and Pharmacological Effects of Natural Compounds (1 paper). The work is most often cited by research in Computational Theory and Mathematics (564 citations), Pharmacology (143 citations), Toxicology (36 citations), Organic Chemistry (260 citations) and Pharmacology (119 citations). Chaofeng Lou has collaborated with scholars based in China. Frequent co-authors include Weihua Li, Guixia Liu, Hongbin Yang, Yun Tang, Zhuang Wang, Lixia Sun, Yingchun Cai, Jie Li, Yun Tang and Zengrui Wu. Their work appears in journals such as Journal of Cheminformatics, Molecular Informatics, iScience, Briefings in Bioinformatics and Journal of Chemical Information and Modeling.
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.