Ziqing Chen

1.6k citations
65 papers · 868 · h-index 16

Impact in

    • Immune Cell Function and Interaction
    • Immune cells in cancer
  • Accounting top 10%
    • Corporate Finance and Governance

Papers in

Ziqing Chen

56 papers receiving 849 citations

Peers

Ziqing Chen
Comparison fields: 5 of 144
  • Immunology 190
  • Accounting 70
  • Finance 52
  • Cancer Research 74
  • Biochemistry 30
Replace Tingting Cheng with:
Tingting Cheng China
Ke Wu China
Andrew Lee United States
Cheng-Feng Lee Taiwan
Fangyan Dai United States
Mengying Zhu China
Jinbo Huang China
Konstantinos Theofilatos United Kingdom
Reginald D. Smith United States
Ziqing Chen relative to Tingting Cheng China Tingting Cheng's profile →
Citations per field
00.5×2.7×
Tingting Cheng · 1×
Citations per year

Countries citing papers authored by Ziqing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ziqing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019136
2 200576
3 201866
4 202065
5 200552
6 201939
7 202434
8 202129
9 200826
10 202425
11 202219
12 202017
13 202217
14 200517
15 202017
16 201616
17 202314
18 201614
19 202214
20 202312

About Ziqing Chen

Ziqing Chen is a scholar working on Molecular Biology, Immunology, Oncology, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 65 papers that have together received 868 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), CAR-T cell therapy research (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Black Holes and Theoretical Physics (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cosmology and Gravitation Theories (3 papers), Immune cells in cancer (3 papers) and IL-33, ST2, and ILC Pathways (3 papers). The work is most often cited by research in Immunology (190 citations), Accounting (70 citations), Finance (52 citations), Cancer Research (74 citations) and Biochemistry (30 citations). Ziqing Chen has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Xuejun Jin, Xiaolan Yang, Ling Dong, Sheng‐Hua Wu, Chao Lu, Sheng‐ce Tao, Andreas Lundqvist, Jochen M. Schwenk, Tea Dodig‐Crnković and Ying Yang. Their work appears in journals such as Journal of Neuroinflammation, Advanced Science, Nuclear Physics B, Scientific Reports and Desalination.

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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