Xiao-Wu Qu

655 citations
13 papers · 557 · h-index 10

Impact in

    • Food Allergy and Anaphylaxis Research
    • Allergic Rhinitis and Sensitization
  • Immunology top 10%
    • Mast cells and histamine
    • Immune Response and Inflammation

Papers in

Xiao-Wu Qu

13 papers receiving 549 citations

Peers

Xiao-Wu Qu
Comparison fields: 5 of 71
  • Immunology and Allergy 141
  • Immunology 224
  • Nutrition and Dietetics 96
  • Physiology 134
  • Obstetrics and Gynecology 22
Replace Karin Lakovits with:
Karin Lakovits Austria
Fahd Alhamdan Germany
Pengtao Wang China
Binghua Zhu China
J del Castillo United States
Daiki Iwami Japan
Doumet Georges Helou United States
Benoît Allard Canada
Yuko Ohnuma Japan
Kelly Orgel United States
Xiao-Wu Qu relative to Karin Lakovits Austria Karin Lakovits's profile →
Citations per field
00.5×4.7×
Karin Lakovits · 1×
Citations per year

Countries citing papers authored by Xiao-Wu Qu

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-Wu Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2002254
2 200171
3 201067
4 199849
5 201522
6 199619
7 199618
8 200116
9 201212
10 20139
11
Neonatal necrotizing enterocolitis: clinical aspects, experimental models and pathogenesis
20079
12 20127
13 20174

About Xiao-Wu Qu

Xiao-Wu Qu is a scholar working on Immunology, Obstetrics and Gynecology, Surgery, Pediatrics, Perinatology and Child Health and Nutrition and Dietetics, having authored 13 papers that have together received 557 indexed citations. Recurring topics across this work include Immune Response and Inflammation (6 papers), Pregnancy and preeclampsia studies (4 papers), Reproductive System and Pregnancy (3 papers), NF-κB Signaling Pathways (2 papers), Inflammatory mediators and NSAID effects (2 papers), Infant Nutrition and Health (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Immunology and Allergy (141 citations), Immunology (224 citations), Nutrition and Dietetics (96 citations), Physiology (134 citations) and Obstetrics and Gynecology (22 citations). Xiao-Wu Qu has collaborated with scholars based in United States. Frequent co-authors include Suzanne C. Morris, Fred D. Finkelman, Mingyan Yang, Richard T. Strait, Wei Hsueh, Isabelle G. De Plaen, Hao Wang, Ranna A. Rozenfeld, Michael S. Caplan and Xiao‐Di Tan. Their work appears in journals such as Reproductive Sciences, The FASEB Journal, American Journal of Obstetrics and Gynecology, Journal of Reproductive Immunology and PLoS ONE.

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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