Da Qian

601 citations
36 papers · 366 · h-index 9

Impact in

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

Papers in

    • Circular RNAs in diseases 3
    • RNA modifications and cancer 3
    • Epigenetics and DNA Methylation 3
    • Extracellular vesicles in disease 3
    • Cancer Immunotherapy and Biomarkers 6

Da Qian

29 papers receiving 360 citations

Peers

Da Qian
Comparison fields: 5 of 65
  • Immunology 168
  • Cancer Research 78
  • Genetics 42
  • Oncology 73
  • Neurology 22
Replace Isabella Fiorentino with:
Isabella Fiorentino Italy
Lorena Carmona‐Rodríguez Spain
Isabel Fernández‐Pisonero Spain
Yaqi Cheng China
Yingying Sun China
Si-An Xie China
Julien Lesage France
Heiko Roedig Germany
Injoo Hwang South Korea
Xiaojie Gan China
Da Qian relative to Isabella Fiorentino Italy Isabella Fiorentino's profile →
Citations per field
00.5×10×15.6×
Isabella Fiorentino · 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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020191
2 202326
3 202320
4 202114
5 202213
6 202310
7 202310
8 202310
9 20248
10 20228
11 20237
12 20237
13 20236
14 20225
15 20245
16 20244
17 20244
18 20223
19 20232
20 20222

About Da Qian

Da Qian is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Immunology, having authored 36 papers that have together received 366 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers), RNA modifications and cancer (3 papers), MicroRNA in disease regulation (3 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Epigenetics and DNA Methylation (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Immunology (168 citations), Cancer Research (78 citations), Genetics (42 citations), Oncology (73 citations) and Neurology (22 citations). Da Qian has collaborated with scholars based in China and Taiwan. Frequent co-authors include Jinquan Cai, Xiangqi Meng, Ziwei Li, Caijun Zha, Lulu Li, Shan Mi, Shaoshan Hu, Pengfei Wu, Shihong Zhao and Xuli Meng. Their work appears in journals such as Frontiers in Oncology, Annals of Medicine, Frontiers in Genetics, Journal of Oncology and Journal of Cancer.

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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