Da Qian

719 citations
43 papers · 451 · h-index 10

Impact in

    • Immune cells in cancer
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immunotherapy and Immune Responses
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • MicroRNA in disease regulation 3
    • Cancer Genomics and Diagnostics 2
    • RNA modifications and cancer 3
    • Extracellular vesicles in disease 3
    • Circular RNAs in diseases 2
    • Protein Degradation and Inhibitors 2

Da Qian

34 papers receiving 446 citations

Peers

Da Qian
Comparison fields: 5 of 65
  • Immunology 170
  • Cancer Research 70
  • Genetics 34
  • Oncology 60
  • Molecular Biology 157
Replace Injoo Hwang with:
Injoo Hwang South Korea
Nahoko Tomonobu Japan
Yingying Sun China
Isabel Fernández‐Pisonero Spain
Xiaojie Gan China
Shu Jia China
Junnian Zheng China
Toshiyuki Mera Japan
Alessandro Barbato Italy
Da Qian relative to Injoo Hwang South Korea Injoo Hwang's profile →
Citations per field
00.5×1.5×2×2.3×
Injoo Hwang · 1×
Citations per year

Countries citing papers authored by Da Qian

Since Specialization
Citations

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

Fields of papers citing papers by Da Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020210
2 202330
3 202328
4 202215
5 202314
6 202114
7 202314
8 202312
9 202311
10 202210
11 202410
12 202510
13 20248
14 20237
15 20236
16 20226
17 20225
18 20235
19 20245
20 20244

About Da Qian

Da Qian is a scholar working on Cancer Research, Molecular Biology, Rheumatology, Immunology and Oncology, having authored 43 papers that have together received 451 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), RNA modifications and cancer (3 papers), Extracellular vesicles in disease (3 papers), MicroRNA in disease regulation (3 papers), Cancer Genomics and Diagnostics (2 papers), Circular RNAs in diseases (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Immunology (170 citations), Cancer Research (70 citations), Genetics (34 citations), Oncology (60 citations) and Molecular Biology (157 citations). Da Qian has collaborated with scholars based in China and Taiwan. Frequent co-authors include Jinquan Cai, Caijun Zha, Ziwei Li, Shaoshan Hu, Shan Mi, Lulu Li, Shihong Zhao, Xiangqi Meng, Pengfei Wu and Xuli Meng. Their work appears in journals such as Frontiers in Oncology, Cancer Cell International, Frontiers in Genetics, Journal of Oncology and Annals of Medicine.

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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