Ailing Wu

2.8k total citations
34 papers, 2.1k citations indexed

About

Ailing Wu is a scholar working on Molecular Biology, Immunology and Rheumatology. According to data from OpenAlex, Ailing Wu has authored 34 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Immunology and 6 papers in Rheumatology. Recurrent topics in Ailing Wu's work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (7 papers) and Systemic Lupus Erythematosus Research (5 papers). Ailing Wu is often cited by papers focused on Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (7 papers) and Systemic Lupus Erythematosus Research (5 papers). Ailing Wu collaborates with scholars based in China, United States and Hong Kong. Ailing Wu's co-authors include Bruce Richardson, Qianjin Lu, Bruce C. Richardson, Donna Ray, Laura Tesmer, Hai Song, Yujie Deng, Qianjin Lu, Ling Qin and Kinglun Kingston Mak and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Ailing Wu

33 papers receiving 2.1k citations

Peers

Ailing Wu
Comparison fields: 5 of 117
  • Immunology 1.0k
  • Molecular Biology 778
  • Rheumatology 682
  • Genetics 287
  • Cancer Research 286
Replace Natalia V. Giltiay with:
Natalia V. Giltiay United States
Henri‐Jean Garchon France
Liangdan Sun China
Arnaud Zaldumbide Netherlands
Tong Zhou United States
Santa Jeremy Ono United States
Catherine Maari Canada
Jing-Feng Huang United States
Kazuhiko Yamamura Japan
Natalia V. Giltiay United States View profile →
Citations per field, relative to Ailing Wu
Ailing Wu · 1×
Citations per year, relative to Ailing Wu
Ailing Wu · 1×

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-authorship network of co-authors of Ailing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ailing Wu. A scholar is included among the top collaborators of Ailing Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ailing Wu. Ailing Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 10
2 0
3 14
4
Cyclic RGD-Decorated Liposomal Gossypol AT-101 Targeting for Enhanced Antitumor Effect
22
5 42
6 36
7 5
8 25
9 254
10 146
11 46
12 68
13 53
14 123
15 335
16 28
17 83
18 166
19 181
20 102

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026