Xiaoling Lü

4.9k citations
206 papers · 3.2k · h-index 32

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 21
    • RNA Interference and Gene Delivery 15
    • Immunotherapy and Immune Responses 42
    • Immune Cell Function and Interaction 26
    • T-cell and B-cell Immunology 13

Xiaoling Lü

197 papers receiving 3.1k citations

Peers

Xiaoling Lü
Comparison fields: 5 of 160
  • Immunology 684
  • Biomaterials 368
  • Oncology 644
  • Molecular Biology 1.4k
  • Cancer Research 227
Replace Lili Huang with:
Lili Huang China
Haruhiko Kamada Japan
Shin‐ichi Tsunoda Japan
Rama Shanker Verma India
Yanfeng Gao China
Yuting Yang China
Yuan Zhang China
Palma Rocchi France
Aiping Tong China
Xiaoling Lü relative to Lili Huang China Lili Huang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xiaoling Lü

Since Specialization
Citations

This map shows the geographic impact of Xiaoling Lü'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 Xiaoling Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Lü more than expected).

Fields of papers citing papers by Xiaoling Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoling Lü. 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 Xiaoling Lü. The network helps show where Xiaoling Lü may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiaoling Lü, 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 Xiaoling Lü Line = papers co-authored together Xiaoling Lü links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 206 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012102
2 202186
3 201684
4 201880
5 200976
6 201668
7 201766
8 200961
9 200760
10 201555
11 202154
12 201453
13 201645
14 201444
15 201643
16 201343
17 201642
18 201641
19 200340
20 201639

About Xiaoling Lü

Xiaoling Lü is a scholar working on Molecular Biology, Immunology, Oncology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 206 papers that have together received 3.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (42 papers), CAR-T cell therapy research (27 papers), Immune Cell Function and Interaction (26 papers), Monoclonal and Polyclonal Antibodies Research (22 papers), Advanced biosensing and bioanalysis techniques (21 papers), RNA Interference and Gene Delivery (15 papers), T-cell and B-cell Immunology (13 papers) and Cancer Immunotherapy and Biomarkers (7 papers). The work is most often cited by research in Immunology (684 citations), Biomaterials (368 citations), Oncology (644 citations), Molecular Biology (1.4k citations) and Cancer Research (227 citations). Xiaoling Lü has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yongxiang Zhao, Fengzhen Mo, Xiaomei Yang, Xiaobing Jiang, Zixi Hu, Siliang Duan, Aiqun Liu, Xiaoqiong Hou, Robert S. Coleman and Sufang Zhou. Their work appears in journals such as Journal of Biomedical Nanotechnology, Theranostics, Journal of Nanoscience and Nanotechnology, Scientific Reports and Oncology Reports.

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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