Xiaofeng Liu
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 19
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism 4
- Molecular Biology top 5%
- Protein Structure and Dynamics 5
- Machine Learning in Bioinformatics 3
- Metabolomics and Mass Spectrometry Studies 2
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism 4
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- Synthesis and biological activity 4
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- Helicobacter pylori-related gastroenterology studies 3
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- Pregnancy and preeclampsia studies 2
- Journals
- BMC Bioinformatics (5 papers)Journal of Medicinal Chemistry (3 papers)Journal of Chemical Information and Modeling (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaofeng Liu
52 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Computational Theory and Mathematics 1.0k
- Pharmacology 527
- Complementary and alternative medicine 257
- Molecular Biology 1.8k
- Pharmacology 430
Countries citing papers authored by Xiaofeng Liu
This map shows the geographic impact of Xiaofeng Liu'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 Xiaofeng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofeng Liu more than expected).
Fields of papers citing papers by Xiaofeng Liu
This network shows the impact of papers produced by Xiaofeng Liu. 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 Xiaofeng Liu. The network helps show where Xiaofeng Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaofeng Liu, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 5 | |
| 6 | Regulation of short-chain fatty acids in the immune systembreakdown → | 2023 | 178 |
| 7 | 2023 | 4 | |
| 8 | 2023 | 12 | |
| 9 | 2022 | 0 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 8 | |
| 13 | Intelligent Ocean Convergence Platform Based on IoT Empowered with Edge Computing | 2020 | 9 |
| 14 | 2019 | 30 | |
| 15 | 2018 | 117 | |
| 16 | 2015 | 3 | |
| 17 | 2011 | 10 | |
| 18 | 2010 | 27 | |
| 19 | 2009 | 44 | |
| 20 | 2009 | 36 |
About Xiaofeng Liu
Xiaofeng Liu is a scholar working on Computational Theory and Mathematics, Pharmacology, Obstetrics and Gynecology, Molecular Biology and Surgery, having authored 54 papers that have together received 3.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), Protein Structure and Dynamics (5 papers), Synthesis and biological activity (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Machine Learning in Bioinformatics (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Pregnancy and preeclampsia studies (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Pharmacology (527 citations), Complementary and alternative medicine (257 citations), Molecular Biology (1.8k citations) and Pharmacology (430 citations). Xiaofeng Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Honglin Li, Hualiang Jiang, Xia Wang, Jiayu Gong, Shiliang Li, Jianfeng Pei, Luhua Lai, Shiwei Wang, Yihang Shen and Weilin Zhang. Their work appears in journals such as BMC Bioinformatics, Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Scientific Reports and Frontiers in Immunology.
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.