Liling Xu
Impact in
- Virology top 10%
- HIV Research and Treatment
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- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
-
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 5
-
- Lipid Membrane Structure and Behavior 2
- Glycosylation and Glycoproteins Research 2
- Co-authors
- Wanli Liu (8 shared papers)Zhengpeng Wan (4 shared papers)Roger D. Kamm (2 shared papers)Shun Zhang (2 shared papers)Yinghua Chen (3 shared papers)Lu Lu (2 shared papers)Shibo Jiang (2 shared papers)Yilin Fan (3 shared papers)
- Journals
- Journal of Leukocyte Biology (2 papers)PLoS ONE (2 papers)Clinical and Experimental Rheumatology (1 paper)Protein & Cell (1 paper)Cell Research (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Liling Xu
18 papers receiving 281 citations
Peers
Comparison fields: 5 of 76
- Virology 48
- Immunology 120
- Radiology, Nuclear Medicine and Imaging 70
- Infectious Diseases 35
- Immunology and Allergy 9
Countries citing papers authored by Liling Xu
This map shows the geographic impact of Liling Xu'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 Liling Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liling Xu more than expected).
Fields of papers citing papers by Liling Xu
This network shows the impact of papers produced by Liling Xu. 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 Liling Xu. The network helps show where Liling Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Liling Xu, 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 | 2022 | 50 | |
| 2 | 2014 | 34 | |
| 3 | 2011 | 33 | |
| 4 | 2014 | 28 | |
| 5 | 2017 | 25 | |
| 6 | 2020 | 19 | |
| 7 | 2010 | 18 | |
| 8 | 2019 | 17 | |
| 9 | 2018 | 16 | |
| 10 | 2022 | 15 | |
| 11 | 2015 | 8 | |
| 12 | 2011 | 6 | |
| 13 | 2013 | 5 | |
| 14 | 2024 | 3 | |
| 15 | 2015 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2023 | 1 |
About Liling Xu
Liling Xu is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Virology, having authored 18 papers that have together received 286 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), HIV Research and Treatment (3 papers), HIV/AIDS drug development and treatment (3 papers), Lipid Membrane Structure and Behavior (2 papers), CAR-T cell therapy research (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Virology (48 citations), Immunology (120 citations), Radiology, Nuclear Medicine and Imaging (70 citations), Infectious Diseases (35 citations) and Immunology and Allergy (9 citations). Liling Xu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Wanli Liu, Zhengpeng Wan, Roger D. Kamm, Shun Zhang, Yinghua Chen, Lu Lu, Shibo Jiang, Yilin Fan, Zhanguo Li and Yinsheng Xu. Their work appears in journals such as Journal of Leukocyte Biology, PLoS ONE, Clinical and Experimental Rheumatology, Protein & Cell and Cell Research.
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.