Xiaowen Liang
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 10
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus 8
- Microbiology top 5%
- Health Informatics top 5%
- Molecular Biology top 10%
- Biochemical and Structural Characterization 11
- Bacterial biofilms and quorum sensing 6
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- Streptococcal Infections and Treatments 7
- Reproductive Biology and Fertility 4
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- Complement system in diseases 5
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- Ovarian function and disorders 4
- Co-authors
- Magnus HöökYi XuEric L. BrownTimothy J. FosterDouglas R. KeeneZhang MinXiao CongArthur Laganowsky
- Journals
- Journal of the American Chemical Society (2 papers)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (13 papers)
- Partner nations
- United StatesChinaIreland
In The Last Decade
Xiaowen Liang
64 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Immunology and Allergy 181
- Infectious Diseases 535
- Microbiology 134
- Health Informatics 28
- Molecular Biology 1.2k
Countries citing papers authored by Xiaowen Liang
This map shows the geographic impact of Xiaowen Liang'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 Xiaowen Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowen Liang more than expected).
Fields of papers citing papers by Xiaowen Liang
This network shows the impact of papers produced by Xiaowen Liang. 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 Xiaowen Liang. The network helps show where Xiaowen Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaowen Liang, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | An improved random forest based on the classification accuracy and correlation measurement of decision treesbreakdown → | 2023 | 213 |
| 5 | 2023 | 1 | |
| 6 | WD Repeat Domain 5 Promotes Invasion, Metastasis and Tumor Growth in Glioma Through Up-Regulated Zinc Finger E-Box Binding Homeobox 1 Expression | 2020 | 1 |
| 7 | 2020 | 12 | |
| 8 | 2020 | 5 | |
| 9 | 2020 | 54 | |
| 10 | Jinmaitong Ameliorates Diabetic Peripheral Neuropathy Through Suppressing TXNIP/NLRP3 Inflammasome Activation In The Streptozotocin-Induced Diabetic Rat Model | 2019 | 2 |
| 11 | 2019 | 48 | |
| 12 | 2016 | 3 | |
| 13 | 2016 | 50 | |
| 14 | 2013 | 107 | |
| 15 | 2012 | 17 | |
| 16 | 2011 | 72 | |
| 17 | 2007 | 41 | |
| 18 | 2004 | 1 | |
| 19 | 2004 | 103 | |
| 20 | 2000 | 37 |
About Xiaowen Liang
Xiaowen Liang is a scholar working on Immunology and Allergy, Health Informatics and Infectious Diseases, having authored 72 papers that have together received 2.6k indexed citations. Recurring topics across this work include Biochemical and Structural Characterization (11 papers), Cell Adhesion Molecules Research (10 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Streptococcal Infections and Treatments (7 papers), Bacterial biofilms and quorum sensing (6 papers), Complement system in diseases (5 papers), Ovarian function and disorders (4 papers) and Reproductive Biology and Fertility (4 papers). The work is most often cited by research in Immunology and Allergy (181 citations), Infectious Diseases (535 citations) and Microbiology (134 citations). Xiaowen Liang has collaborated with scholars based in United States, China and Ireland. Frequent co-authors include Magnus Höök, Yi Xu, Eric L. Brown, Timothy J. Foster, Douglas R. Keene, Zhang Min, Xiao Cong, Arthur Laganowsky, Wen Liu and Pengfei Li. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.
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.