Yingqi Wu

844 citations
39 papers · 635 · h-index 15

Impact in

    • Pharmacological Effects of Natural Compounds
    • Immune Cell Function and Interaction
    • IL-33, ST2, and ILC Pathways

Papers in

    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 4
    • IL-33, ST2, and ILC Pathways 4
    • Mast cells and histamine 3

Yingqi Wu

36 papers receiving 606 citations

Peers

Yingqi Wu
Comparison fields: 5 of 106
  • Pharmacology 92
  • Immunology 167
  • Complementary and alternative medicine 63
  • Physiology 124
  • Emergency Medical Services 34
Replace Baomei Shao with:
Baomei Shao United States
Taejoon Won South Korea
Maarten A. Hoijer Netherlands
Hyun Jae Lee South Korea
Shulhn-Der Wang Taiwan
Yu‐Ling Tsai Taiwan
Nema Mohamadian Roshan Iran
Wan‐Chien Cheng Taiwan
Junsuke Arimitsu Japan
Gerald W. Dryden United States
Yingqi Wu relative to Baomei Shao United States Baomei Shao's profile →
Citations per field
00.5×1.5×
Baomei Shao · 1×
Citations per year

Countries citing papers authored by Yingqi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yingqi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200173
2 200471
3 202059
4 200444
5 200843
6 202341
7 201840
8 201133
9 201926
10 201320
11 202319
12 201318
13 200816
14 202015
15 202215
16 202311
17 201410
18 202010
19 20119
20 20227

About Yingqi Wu

Yingqi Wu is a scholar working on Immunology, Molecular Biology, Physiology, Epidemiology and Complementary and alternative medicine, having authored 39 papers that have together received 635 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (7 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (4 papers), Acupuncture Treatment Research Studies (4 papers), IL-33, ST2, and ILC Pathways (4 papers), Respiratory viral infections research (3 papers), Mast cells and histamine (3 papers) and HIV Research and Treatment (3 papers). The work is most often cited by research in Pharmacology (92 citations), Immunology (167 citations), Complementary and alternative medicine (63 citations), Physiology (124 citations) and Emergency Medical Services (34 citations). Yingqi Wu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Darryl J. Adamko, Redwan Moqbel, Larry J. Guilbert, Jie Li, Meiqi Wang, Peter K.T. Pang, Jacqueline J. Shan, Tong Tong, Hanbing Li and Aizong Shen. Their work appears in journals such as Journal of Allergy and Clinical Immunology, Chemical Communications, Journal of Pharmacy and Pharmacology, Acta Physico-Chimica Sinica and 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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