Runzi Qi

953 citations
9 papers · 762 · h-index 7

Impact in

  • Immunology top 10%
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • NF-κB Signaling Pathways
    • MicroRNA in disease regulation

Papers in

    • Immune Response and Inflammation 4
    • Immune cells in cancer 2
    • Immunotherapy and Immune Responses 1
    • Cancer-related Molecular Pathways 1
    • Cytokine Signaling Pathways and Interactions 1

Runzi Qi

9 papers receiving 744 citations

Peers

Runzi Qi
Comparison fields: 5 of 89
  • Immunology 338
  • Cancer Research 149
  • Microbiology 33
  • Oncology 111
  • Molecular Biology 291
Replace Xiaoyi Yan with:
Xiaoyi Yan China
Francesco Di Marco Italy
Craig R. Homer United States
Yilong Zhou China
J J Gibbons United States
Gady Cojocaru United States
Eduardo Hernández-Cuellar Mexico
Siobhan Blankson Ireland
Daniel Seidel Germany
P Poupart Belgium
Runzi Qi relative to Xiaoyi Yan China Xiaoyi Yan's profile →
Citations per field
00.5×1.5×1.9×
Xiaoyi Yan · 1×
Citations per year

Countries citing papers authored by Runzi Qi

Since Specialization
Citations

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

Fields of papers citing papers by Runzi Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2002215
2
Notch1 signaling inhibits growth of human hepatocellular carcinoma through induction of cell cycle arrest and apoptosis.
2003207
3 2005122
4 2002110
5 200357
6
Intratumoral expression of MIP-1beta induces antitumor responses in a pre-established tumor model through chemoattracting T cells and NK cells.
200432
7 200212
8 20186
9 20191

About Runzi Qi

Runzi Qi is a scholar working on Immunology, Oncology, Cancer Research, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 762 indexed citations. Recurring topics across this work include Immune Response and Inflammation (4 papers), NF-κB Signaling Pathways (3 papers), Mosquito-borne diseases and control (2 papers), Immune cells in cancer (2 papers), Cancer-related Molecular Pathways (1 paper), Epigenetics and DNA Methylation (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (338 citations), Cancer Research (149 citations), Microbiology (33 citations), Oncology (111 citations) and Molecular Biology (291 citations). Runzi Qi has collaborated with scholars based in China, Croatia and Hong Kong. Frequent co-authors include Xuetao Cao, Huazhang An, Yizhi Yu, Shuxun Liu, Zhenghong Guo, Hongmei Xu, Minghui Zhang, Wenya Wang, Xiaoyi Yan and Zhihai Qin. Their work appears in journals such as Parasites & Vectors, Dermatology, Journal of Biological Chemistry, Journal of Travel Medicine and Blood.

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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