Xiulan Qi

939 citations
16 papers · 786 · h-index 10

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • IL-33, ST2, and ILC Pathways
    • Immune cells in cancer
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 5
    • IL-33, ST2, and ILC Pathways 4
    • Immune Response and Inflammation 2
    • Asthma and respiratory diseases 6

Xiulan Qi

16 papers receiving 773 citations

Peers

Xiulan Qi
Comparison fields: 5 of 82
  • Immunology 467
  • Immunology and Allergy 67
  • Physiology 173
  • Oncology 173
  • Dermatology 48
Replace Warren S. Alexander with:
Warren S. Alexander Australia
Noriyasu Seki Japan
Patrice Hermann Japan
C. Müller Germany
Ryuta Mukasa Japan
Vadim Budagian Germany
David Aebischer Switzerland
Yayi Gao China
С. В. Сенников Russia
Ljubov Simson Australia
Xiulan Qi relative to Warren S. Alexander Australia Warren S. Alexander's profile →
Citations per field
00.5×9.2×
Warren S. Alexander · 1×
Citations per year

Countries citing papers authored by Xiulan Qi

Since Specialization
Citations

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

Fields of papers citing papers by Xiulan Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2008421
2 2008137
3 201148
4 201839
5 200733
6 201622
7 200316
8
Toll-like receptor 4 signaling promotes the immunosuppressive cytokine production of human cervical cancer.
201216
9 201216
10 200214
11 20198
12 20135
13 20225
14 20224
15 20131
16 20121

About Xiulan Qi

Xiulan Qi is a scholar working on Immunology, Physiology, Molecular Biology, Oncology and Pathology and Forensic Medicine, having authored 16 papers that have together received 786 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (6 papers), Immune Cell Function and Interaction (5 papers), IL-33, ST2, and ILC Pathways (4 papers), Cytokine Signaling Pathways and Interactions (2 papers), Immune Response and Inflammation (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Lymphoma Diagnosis and Treatment (1 paper) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Immunology (467 citations), Immunology and Allergy (67 citations), Physiology (173 citations), Oncology (173 citations) and Dermatology (48 citations). Xiulan Qi has collaborated with scholars based in United States, France and Slovakia. Frequent co-authors include Achsah Keegan, Nicola Heller, K. Christopher García, Z. Sean Juo, Leremy A. Colf, Jana Václavíková, Sherry L. LaPorte, William E. Paul, Stefanie N. Vogel and Kari Ann Shirey. Their work appears in journals such as The Journal of Immunology, Science Signaling, Cell Research, ImmunoHorizons 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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