Liling Xu
Impact in
-
- Artificial Intelligence in Healthcare
- Health Informatics top 5%
Papers in ⓘ
- Immunology 17
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 5
- Rheumatology 12
- Rheumatoid Arthritis Research and Therapies 6
- Spondyloarthritis Studies and Treatments 6
- Systemic Lupus Erythematosus Research 4
- Co-authors
- Fanlei Hu (15 shared papers)Gong Yang (2 shared papers)Wei Xie (1 shared paper)Xiaoying He (1 shared paper)Tao Zheng (1 shared paper)You Chen (1 shared paper)Ya Zhang (1 shared paper)Huaqun Zhu (13 shared papers)
- Journals
- Frontiers in Immunology (3 papers)Clinical & Experimental Immunology (3 papers)Clinical Rheumatology (3 papers)European Journal of Immunology (2 papers)Molecular Immunology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Liling Xu
33 papers receiving 821 citations
Peers
Comparison fields: 5 of 131
- Health Information Management 127
- Health Informatics 23
- Immunology 257
- Rheumatology 130
- Cancer Research 72
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
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 232 | |
| 2 | 2015 | 79 | |
| 3 | 2014 | 63 | |
| 4 | 2017 | 61 | |
| 5 | 2016 | 50 | |
| 6 | 2017 | 44 | |
| 7 | 2018 | 38 | |
| 8 | 2009 | 37 | |
| 9 | 2018 | 31 | |
| 10 | 2020 | 31 | |
| 11 | 2017 | 28 | |
| 12 | 2017 | 24 | |
| 13 | 2024 | 22 | |
| 14 | 2023 | 15 | |
| 15 | 2020 | 13 | |
| 16 | 2021 | 11 | |
| 17 | 2024 | 9 | |
| 18 | 2020 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2023 | 5 |
About Liling Xu
Liling Xu is a scholar working on Immunology, Rheumatology, Hematology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 837 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Autoimmune and Inflammatory Disorders Research (6 papers), Rheumatoid Arthritis Research and Therapies (6 papers), Spondyloarthritis Studies and Treatments (6 papers), Immune Cell Function and Interaction (5 papers), Systemic Lupus Erythematosus Research (4 papers), Cell Adhesion Molecules Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Health Information Management (127 citations), Health Informatics (23 citations), Immunology (257 citations), Rheumatology (130 citations) and Cancer Research (72 citations). Liling Xu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Fanlei Hu, Gong Yang, Wei Xie, Xiaoying He, Tao Zheng, You Chen, Ya Zhang, Huaqun Zhu, Lianjie Shi and Yin Su. Their work appears in journals such as Frontiers in Immunology, Clinical & Experimental Immunology, Clinical Rheumatology, European Journal of Immunology and Molecular 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.