Ailing Wu

2.9k citations
37 papers · 2.4k · h-index 20

Impact in

    • Systemic Lupus Erythematosus Research
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Immune Cell Function and Interaction 8
    • T-cell and B-cell Immunology 5
    • Reproductive System and Pregnancy 2
    • Systemic Lupus Erythematosus Research 5

Ailing Wu

35 papers receiving 2.3k citations

Peers

Ailing Wu
Comparison fields: 5 of 118
  • Rheumatology 679
  • Immunology 947
  • Cancer Research 270
  • Cell Biology 258
  • Molecular Biology 794
Replace Xinghao Wang with:
Xinghao Wang United States
Min Yang China
Zhenbo Zhang China
Natalia V. Giltiay United States
Takuya Takeichi Japan
Niels H. H. Heegaard Denmark
Yan Teng China
Salvatore Travali Italy
Kyung‐Hyun Park‐Min United States
Ailing Wu relative to Xinghao Wang United States Xinghao Wang's profile →
Citations per field
00.5×2×3×4×
Xinghao Wang · 1×
Citations per year

Countries citing papers authored by Ailing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ailing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007388
2 2018269
3 2005224
4 2004203
5 2004187
6 2016151
7 2007140
8 2003109
9 2005102
10 201172
11 201362
12 200958
13 201452
14 201949
15 201947
16 201843
17 201829
18 200628
19
Cyclic RGD-Decorated Liposomal Gossypol AT-101 Targeting for Enhanced Antitumor Effect
202226
20 201623

About Ailing Wu

Ailing Wu is a scholar working on Immunology, Rheumatology, Pharmacology, Cell Biology and Molecular Biology, having authored 37 papers that have together received 2.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Systemic Lupus Erythematosus Research (5 papers), T-cell and B-cell Immunology (5 papers), Nanoparticle-Based Drug Delivery (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Pharmacological Receptor Mechanisms and Effects (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in Rheumatology (679 citations), Immunology (947 citations), Cancer Research (270 citations), Cell Biology (258 citations) and Molecular Biology (794 citations). Ailing Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bruce Richardson, Qianjin Lu, Bruce C. Richardson, Donna Ray, Laura A. Tesmer, Hai Xin Song, Yujie Deng, Qianjin Lu, Ling Qin and Kinglun Kingston Mak. Their work appears in journals such as The Journal of Immunology, Journal of Drug Delivery Science and Technology, Cell Death Discovery, Cell Reports 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.

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