Junxing Qu

568 citations
18 papers · 409 · h-index 11

Impact in

    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • IL-33, ST2, and ILC Pathways
    • Immune responses and vaccinations
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Immune cells in cancer 4
    • Immune responses and vaccinations 3
    • Immune Cell Function and Interaction 2

Junxing Qu

15 papers receiving 408 citations

Peers

Junxing Qu
Comparison fields: 5 of 64
  • Immunology 105
  • Cancer Research 66
  • Biological Psychiatry 8
  • Molecular Biology 171
  • Oncology 46
Replace Sara McCurdy with:
Sara McCurdy United States
Emily L. Yarosz United States
Shishuo Sun China
Vahid Chaleshi Iran
Jiang-yan Zhong China
Xiaobin Ma China
Arjun Saradna United States
Shruthi Kumar United States
Ke-qi Fan China
Junxing Qu relative to Sara McCurdy United States Sara McCurdy's profile →
Citations per field
00.5×3.9×
Sara McCurdy · 1×
Citations per year

Countries citing papers authored by Junxing Qu

Since Specialization
Citations

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

Fields of papers citing papers by Junxing Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2021111
2 202374
3 202137
4 201932
5 202028
6 202123
7 202120
8 202419
9 201918
10 202415
11 202111
12 20209
13 20236
14 20244
15 20252
16 20250
17 20260
18 20250

About Junxing Qu

Junxing Qu is a scholar working on Immunology, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Biological Psychiatry, having authored 18 papers that have together received 409 indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), Immune responses and vaccinations (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), COVID-19 Impact on Reproduction (2 papers), Immune Cell Function and Interaction (2 papers), Tryptophan and brain disorders (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Immunology (105 citations), Cancer Research (66 citations), Biological Psychiatry (8 citations), Molecular Biology (171 citations) and Oncology (46 citations). Junxing Qu has collaborated with scholars based in China and Canada. Frequent co-authors include Zhiheng Sun, Yayi Hou, Peizhi Li, Sunan Shen, Zhen Xu, Tingting Wang, Tao Shi, Yugen Chen, Zhiyong Zhang and Huan Dou. Their work appears in journals such as The FASEB Journal, Frontiers in Immunology, International Journal of Biological Sciences, Nanotechnology and Journal of Nanobiotechnology.

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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