Le Qin

4.0k citations
103 papers · 2.4k · 1 hit paper · h-index 22

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Oncology top 5%
    • CAR-T cell therapy research
    • COVID-19 and healthcare impacts

Papers in

Le Qin

94 papers receiving 2.3k citations

Hit Papers

Clinical characteristics and imaging manifestations of the 2019 novel coronavirus disease (COVID-19):A multi-center study in Wenzhou city, Zhejiang, China 2020 · 681 citations
6810+2+4Years since publication200400600

Peers

Le Qin
Comparison fields: 5 of 149
  • Infectious Diseases 789
  • Oncology 735
  • Radiology, Nuclear Medicine and Imaging 548
  • Neurology 336
  • Critical Care and Intensive Care Medicine 96
Replace Liangping Luo with:
Liangping Luo China
Mi Young Kim South Korea
Sheng Zhang China
Liang Hong China
Michel M. van den Heuvel Netherlands
Dajing Guo China
Melvin L.K. Chua Singapore
Dima Abi-Said United States
Michael Kreuter Germany
Arun Kumar Nalla United States
Le Qin relative to Liangping Luo China Liangping Luo's profile →
Citations per field
00.5×3.0×
Liangping Luo · 1×
Citations per year

Countries citing papers authored by Le Qin

Since Specialization
Citations

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

Fields of papers citing papers by Le Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clinical characteristics and imaging manifestations of the 2019 novel coronavirus disease (COVID-19):A multi-center study in Wenzhou city, Zhejiang, China
Hit paper breakdown →
2020681
2 2017221
3 2020219
4 2017106
5 201779
6 201778
7 202051
8 200946
9 202242
10 202137
11 202035
12 201631
13 202030
14 202129
15 202029
16 201929
17 202029
18 202026
19 202326
20 201823

About Le Qin

Le Qin is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Biomedical Engineering and Surgery, having authored 103 papers that have together received 2.4k indexed citations. Recurring topics across this work include CAR-T cell therapy research (15 papers), Advanced X-ray and CT Imaging (13 papers), Radiation Dose and Imaging (11 papers), Cardiac Imaging and Diagnostics (7 papers), Microbial Natural Products and Biosynthesis (7 papers), Virus-based gene therapy research (7 papers), Immunotherapy and Immune Responses (7 papers) and COVID-19 diagnosis using AI (6 papers). The work is most often cited by research in Infectious Diseases (789 citations), Oncology (735 citations), Radiology, Nuclear Medicine and Imaging (548 citations), Neurology (336 citations) and Critical Care and Intensive Care Medicine (96 citations). Le Qin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fuhua Yan, Wenjie Yang, Zenghui Cheng, Qiqi Cao, Qingfeng Sun, Jianyi Dai, Ashan Pan, Peng Li, Xiaoyang Wang and Jieming Qu. Their work appears in journals such as European Radiology, Scientific Reports, American Journal of Roentgenology, BMC Cancer and Frontiers in Immunology.

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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