Liling Xu

1.3k citations
43 papers · 900 · h-index 15

Impact in

Papers in

    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 4
    • Immune cells in cancer 3
    • Rheumatoid Arthritis Research and Therapies 4
    • Spondyloarthritis Studies and Treatments 3

Liling Xu

33 papers receiving 883 citations

Peers

Liling Xu
Comparison fields: 5 of 127
  • Health Information Management 137
  • Health Informatics 23
  • Immunology 231
  • Rheumatology 110
  • Cancer Research 67
Replace D Hafler with:
D Hafler United States
Pritish K. Bhattacharyya United States
Puxun Tian China
G Kolarz Austria
L Charles United States
Lingyun Liu China
Enrique J. deAndrés‐Galiana Spain
Jin Yang China
Katsuhiko Takabayashi Japan
Anushi Shah United States
Liling Xu relative to D Hafler United States D Hafler's profile →
Citations per field
00.5×7.4×
D Hafler · 1×
Citations per year

Countries citing papers authored by Liling Xu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Liling Xu Line = papers co-authored together Liling Xu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016261
2 201581
3 201766
4 201463
5 201653
6 201746
7 201838
8 200937
9 201832
10 202032
11 201729
12 202426
13 201725
14 202315
15 202015
16 202112
17 20249
18 20228
19 20208
20 20237

About Liling Xu

Liling Xu is a scholar working on Immunology, Rheumatology, Molecular Biology, Physiology and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 900 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (4 papers), Rheumatoid Arthritis Research and Therapies (4 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Spondyloarthritis Studies and Treatments (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immune cells in cancer (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Health Information Management (137 citations), Health Informatics (23 citations), Immunology (231 citations), Rheumatology (110 citations) and Cancer Research (67 citations). Liling Xu has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Fanlei Hu, Gong Yang, You Chen, Xiaoying He, Ya Zhang, Tao Zheng, Wei Xie, Huaqun Zhu, Lianjie Shi and Yin Su. Their work appears in journals such as Clinical & Experimental Immunology, Clinical Rheumatology, Frontiers in Immunology, 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.

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