Wenjun Le

1.9k total citations · 1 hit paper
40 papers, 1.5k citations indexed

About

Wenjun Le is a scholar working on Biomedical Engineering, Molecular Biology and Oncology. According to data from OpenAlex, Wenjun Le has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 13 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Wenjun Le's work include Nanoplatforms for cancer theranostics (10 papers), 3D Printing in Biomedical Research (7 papers) and Advanced Nanomaterials in Catalysis (5 papers). Wenjun Le is often cited by papers focused on Nanoplatforms for cancer theranostics (10 papers), 3D Printing in Biomedical Research (7 papers) and Advanced Nanomaterials in Catalysis (5 papers). Wenjun Le collaborates with scholars based in China, United States and Australia. Wenjun Le's co-authors include Bingdi Chen, Zhongmin Liu, Donglu Shi, Bingbo Zhang, Weitao Yang, Yihui Hu, Tianxiao Mei, Zheng Cui, Xiuli Wang and Lei Shi and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Wenjun Le

37 papers receiving 1.5k citations

Hit Papers

Albumin-Bioinspired Gd:CuS Nanotheranostic Agent for In V... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenjun Le China 17 839 482 461 440 106 40 1.5k
Erhan İ. Altınoğlu United States 11 993 1.2× 443 0.9× 499 1.1× 511 1.2× 85 0.8× 14 1.6k
Jiangsheng Xu China 21 825 1.0× 401 0.8× 390 0.8× 298 0.7× 134 1.3× 30 1.4k
Dayun Yang China 22 620 0.7× 457 0.9× 260 0.6× 337 0.8× 151 1.4× 33 1.3k
Yuling Mao China 20 827 1.0× 350 0.7× 552 1.2× 489 1.1× 92 0.9× 42 1.4k
Yang‐Bao Miao China 24 817 1.0× 758 1.6× 387 0.8× 445 1.0× 108 1.0× 49 1.8k
Xiongwei Deng China 24 912 1.1× 877 1.8× 358 0.8× 626 1.4× 129 1.2× 56 1.9k
Qiusha Tang China 20 661 0.8× 925 1.9× 292 0.6× 530 1.2× 109 1.0× 44 1.7k
Alba García‐Fernández Spain 19 622 0.7× 492 1.0× 412 0.9× 381 0.9× 79 0.7× 48 1.4k
Jiulong Zhang China 25 788 0.9× 495 1.0× 290 0.6× 623 1.4× 144 1.4× 53 1.5k
Nansha Gao China 19 978 1.2× 452 0.9× 474 1.0× 703 1.6× 89 0.8× 25 1.6k

Countries citing papers authored by Wenjun Le

Since Specialization
Citations

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

Fields of papers citing papers by Wenjun Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenjun Le

This figure shows the co-authorship network connecting the top 25 collaborators of Wenjun Le. A scholar is included among the top collaborators of Wenjun Le 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 Wenjun Le. Wenjun Le 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.
Rashid, Rashid M., Kenneth D. Candido, Ling Gao, et al.. (2025). The Effect of Local Skin Precooling on Alleviating Injection Site Pain in Patients With Androgenetic Alopecia Receiving a Scalp Nerve Block. Pain Physician. 28(2). 155–165.
2.
Cui, Ran, Gaoming Wang, Fuguo Liu, et al.. (2025). Neurturin-induced activation of GFRA2-RET axis potentiates pancreatic cancer glycolysis via phosphorylated hexokinase 2. Cancer Letters. 621. 217583–217583.
3.
Hu, Yihui, Wenjun Le, Pengbo Zhang, et al.. (2025). The intensity of cell surface charge defines the malignancy of cancer cells. Chemical Engineering Journal. 519. 164948–164948. 1 indexed citations
4.
Le, Wenjun, et al.. (2024). Capture of live circulating tumor cells via unique surface charges from cancer patients by a novel nanotechnology. SHILAP Revista de lepidopterología. 2(4). 1 indexed citations
6.
Jiang, Yun, et al.. (2024). Modelling myocardial ischemia/reperfusion injury with inflammatory response in human ventricular cardiac organoids. Cell Proliferation. 58(3). e13762–e13762. 9 indexed citations
7.
Li, Tieyan, Tianxiao Mei, Yang Liu, et al.. (2023). Nanoscale MOFs in nanomedicine applications: from drug delivery to therapeutic agents. Journal of Materials Chemistry B. 11(15). 3273–3294. 52 indexed citations
8.
Wu, Minliang, Jianguo Huang, Yuchong Wang, et al.. (2023). Liquid nitrogen frozen cells for chemotherapy drug delivery and vaccination of melanoma. Journal of Cancer Research and Clinical Oncology. 149(15). 13705–13716. 2 indexed citations
9.
Zeng, Shuxiong, Jun Li, Li Gao, et al.. (2022). Novel Non-Invasive Diagnosis of Bladder Cancer in Urine Based on Multifunctional Nanoparticles. Frontiers in Cell and Developmental Biology. 9. 813420–813420. 6 indexed citations
10.
Xu, Ming, Ran Cui, Yongkun Wang, et al.. (2021). LINC00941 promotes glycolysis in pancreatic cancer by modulating the Hippo pathway. Molecular Therapy — Nucleic Acids. 26. 280–294. 29 indexed citations
11.
Huang, Xin, Qian Chen, Xin Li, et al.. (2021). CKAP4 Antibody-Conjugated Si Quantum Dot Micelles for Targeted Imaging of Lung Cancer. Nanoscale Research Letters. 16(1). 124–124. 13 indexed citations
12.
Li, Haijun, Bin Zhang, Yumei Liu, et al.. (2021). Machine learning models for predicting critical illness risk in hospitalized patients with COVID-19 pneumonia. Journal of Thoracic Disease. 13(2). 1215–1229. 13 indexed citations
13.
Li, Haijun, Wenjun Le, Jianyu Li, et al.. (2021). CT Quantification of COVID-19 Pneumonia at Admission Can Predict Progression to Critical Illness: A Retrospective Multicenter Cohort Study. Frontiers in Medicine. 8. 689568–689568. 8 indexed citations
14.
Chen, Xin, Tiegong Wang, Wenjun Le, et al.. (2020). Smart Sorting of Tumor Phenotype with Versatile Fluorescent Ag Nanoclusters by Sensing Specific Reactive Oxygen Species. Theranostics. 10(8). 3430–3450. 29 indexed citations
15.
Wu, Minliang, Wenjun Le, Tianxiao Mei, et al.. (2019). <p>Cell membrane camouflaged nanoparticles: a new biomimetic platform for cancer photothermal therapy</p>. International Journal of Nanomedicine. Volume 14. 4431–4448. 106 indexed citations
16.
Huang, Xin, Huanhuan Zhu, Wenjun Le, et al.. (2018). Glypican-1-antibody-conjugated Gd-Au nanoclusters for FI/MRI dual-modal targeted detection of pancreatic cancer. International Journal of Nanomedicine. Volume 13. 2585–2599. 26 indexed citations
17.
Li, Zhiming, Wenjun Le, & Zheng Cui. (2018). A novel therapeutic anticancer property of raw garlic extract via injection but not ingestion. Cell Death Discovery. 4(1). 108–108. 45 indexed citations
18.
Shao, Chengwei, Fang Liu, Wenjun Le, et al.. (2016). In vitro and in vivo targeting imaging of pancreatic cancer using a&nbsp;Fe3O4@SiO2&nbsp;nanoprobe modified with anti-mesothelin antibody. International Journal of Nanomedicine. 11. 2195–2195. 23 indexed citations
19.
Chen, Bingdi, Wenjun Le, Yilong Wang, et al.. (2016). Targeting Negative Surface Charges of Cancer Cells by Multifunctional Nanoprobes. Theranostics. 6(11). 1887–1898. 311 indexed citations
20.
Gao, Yuhua, Xiaojia Liu, Lei Sun, & Wenjun Le. (2011). Bis(piperazine-1,4-diium) hexachloridobismuthate(III) chloride monohydrate. Acta Crystallographica Section E Structure Reports Online. 67(12). m1688–m1688. 4 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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