Le Qin

4.0k total citations · 1 hit paper
103 papers, 2.4k citations indexed

About

Le Qin is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Le Qin has authored 103 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oncology, 23 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Molecular Biology. Recurrent topics in Le Qin's work include CAR-T cell therapy research (15 papers), Advanced X-ray and CT Imaging (13 papers) and Radiation Dose and Imaging (11 papers). Le Qin is often cited by papers focused on CAR-T cell therapy research (15 papers), Advanced X-ray and CT Imaging (13 papers) and Radiation Dose and Imaging (11 papers). Le Qin collaborates with scholars based in China, United States and United Kingdom. Le Qin's co-authors include Fuhua Yan, Wenjie Yang, Zenghui Cheng, Qiqi Cao, Qingfeng Sun, Jianyi Dai, Ashan Pan, Peng Li, Jieming Qu and Xiaoyang Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The EMBO Journal and Blood.

In The Last Decade

Le Qin

94 papers receiving 2.3k citations

Hit Papers

Clinical characteristics and imaging manifestations of th... 2020 2026 2022 2024 2020 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. 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 Wenjie Yang, Le Qin et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Le Qin China 22 789 735 548 354 349 103 2.4k
Shibo Li China 20 1.2k 1.5× 387 0.5× 224 0.4× 249 0.7× 345 1.0× 84 2.7k
Kai Han China 17 2.3k 3.0× 602 0.8× 836 1.5× 516 1.5× 463 1.3× 38 4.1k
Vincent Mallet France 35 568 0.7× 482 0.7× 426 0.8× 298 0.8× 478 1.4× 128 5.8k
Elaine Lee Hong Kong 23 768 1.0× 472 0.6× 1.9k 3.4× 145 0.4× 276 0.8× 110 3.6k
Liangping Luo China 23 408 0.5× 243 0.3× 767 1.4× 433 1.2× 410 1.2× 125 2.3k
Arun Kumar Nalla United States 19 1.7k 2.2× 501 0.7× 171 0.3× 255 0.7× 519 1.5× 26 2.9k
Sheng Zhang China 27 1.7k 2.2× 1.2k 1.6× 393 0.7× 160 0.5× 763 2.2× 121 4.2k
Thorsten Persigehl Germany 28 488 0.6× 488 0.7× 1.4k 2.5× 802 2.3× 411 1.2× 153 3.2k
J. Quincy Brown United States 26 912 1.2× 320 0.4× 563 1.0× 847 2.4× 482 1.4× 73 2.9k
Antonella Tosoni Italy 22 865 1.1× 433 0.6× 156 0.3× 93 0.3× 337 1.0× 54 2.2k

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-authorship network of co-authors of Le Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Le Qin. A scholar is included among the top collaborators of Le Qin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Le Qin. Le Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bao, Qiyuan, Jiqiang Li, Zhihan Xu, et al.. (2025). High performance of low/ultralow-dose photon-counting CT for pulmonary metastasis in young musculoskeletal malignancy patients. European Journal of Radiology Open. 15. 100689–100689.
2.
Zhang, Run, Siyuan Chen, Hongjin Chen, et al.. (2025). SM22α-Lineage Perivascular Stromal Cells Contribute to Abdominal Aortic Aneurysm. Circulation Research. 137(1). 4–22. 3 indexed citations
3.
Xu, Jiaxin, et al.. (2025). Prognostic value of tumor deposits and positive lymph nodes in colorectal cancer surgery: improved staging for long-term prognosis. BMC Gastroenterology. 25(1). 154–154. 1 indexed citations
4.
Wang, Jiongliang, Linfu Zhou, Le Qin, et al.. (2025). DNMT1 inhibition reprograms T cells to NK-like cells with potent antitumor activity. Science Immunology. 10(105). eadm8251–eadm8251. 3 indexed citations
5.
6.
7.
Qin, Le, Liang Shi, Yu Wang, et al.. (2024). Fumarate Hydratase Enhances the Therapeutic Effect of PD-1 Antibody in Colorectal Cancer by Regulating PCSK9. Cancers. 16(4). 713–713. 4 indexed citations
8.
Qin, Le, et al.. (2024). TonEBP: A Key Transcription Factor in Microglia Following Intracerebral Hemorrhage Induced-Neuroinflammation. International Journal of Molecular Sciences. 25(3). 1438–1438.
9.
Liu, Linsheng, Zhen Deng, Guipeng Liu, et al.. (2024). Low-Temperature Growth of InGaAs Quantum Wells Using Migration-Enhanced Epitaxy. Materials. 17(4). 845–845. 2 indexed citations
10.
Tu, Shengxian, Matthew B. Matheson, Carlos Eduardo Rochitte, et al.. (2024). Prognostic Value of Coronary CT Angiography–Derived Quantitative Flow Ratio in Suspected Coronary Artery Disease. Radiology. 313(3). e240299–e240299.
11.
Lv, Jiang, Jianzhong Zhang, Xinrui Zhang, et al.. (2023). c-Met is a chimeric antigen receptor T-cell target for treating recurrent nasopharyngeal carcinoma. Cytotherapy. 25(10). 1037–1047. 5 indexed citations
12.
13.
Qin, Le, Jiang Lv, Di Wu, et al.. (2023). The onco-embryonic antigen ROR1 is a target of chimeric antigen T cells for colorectal cancer. International Immunopharmacology. 121. 110402–110402. 7 indexed citations
14.
Qin, Le, Zhihao Zhang, Zeyu Jiang, et al.. (2021). Realization of AlSb in the Double-Layer Honeycomb Structure: A Robust Class of Two-Dimensional Material. ACS Nano. 15(5). 8184–8191. 37 indexed citations
15.
Yi, Wenwen, Le Qin, Xiao‐Yuan Lian, & Zhizhen Zhang. (2020). New Antifungal Metabolites from the Mariana Trench Sediment-Associated Actinomycete Streptomyces sp. SY1965. Marine Drugs. 18(8). 385–385. 26 indexed citations
16.
Wei, Hongjiang, Le Qin, Steven Cao, et al.. (2018). Quantitative susceptibility mapping of articular cartilage in patients with osteoarthritis at 3T. Journal of Magnetic Resonance Imaging. 49(6). 1665–1675. 23 indexed citations
17.
Wei, Xinru, Yunxin Lai, Jin Li, et al.. (2017). PSCA and MUC1 in non-small-cell lung cancer as targets of chimeric antigen receptor T cells. OncoImmunology. 6(3). e1284722–e1284722. 106 indexed citations
18.
Qin, Le, Ruocong Zhao, & Peng Li. (2017). Incorporation of functional elements enhances the antitumor capacity of CAR T cells. Experimental Hematology and Oncology. 6(1). 28–28. 19 indexed citations
19.
Qin, Le. (2015). The Problems of Tracking Filter and Prediction for Non-ballistic Target HTV-2 in the Near Space. 6 indexed citations
20.
Qin, Le. (2012). Significance and Expression of MCM3 and Ki-67 in Normal Thyroid,Nodular Goiter and Carcinoma. Journal of Shihezi University. 1 indexed citations

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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