Aijun Shen

988 total citations
29 papers, 788 citations indexed

About

Aijun Shen is a scholar working on Biomedical Engineering, Materials Chemistry and Biomaterials. According to data from OpenAlex, Aijun Shen has authored 29 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 13 papers in Materials Chemistry and 10 papers in Biomaterials. Recurrent topics in Aijun Shen's work include Nanoplatforms for cancer theranostics (11 papers), Nanoparticle-Based Drug Delivery (10 papers) and Lanthanide and Transition Metal Complexes (9 papers). Aijun Shen is often cited by papers focused on Nanoplatforms for cancer theranostics (11 papers), Nanoparticle-Based Drug Delivery (10 papers) and Lanthanide and Transition Metal Complexes (9 papers). Aijun Shen collaborates with scholars based in China, United States and Switzerland. Aijun Shen's co-authors include Yongyong Li, Haiqing Dong, Huiyun Wen, Donglu Shi, Chunyan Dong, Xiaojun Cai, Xuequan Li, Yan‐Yan Song, Wenjuan Xia and Chao Lin and has published in prestigious journals such as ACS Nano, Biomaterials and Advanced Functional Materials.

In The Last Decade

Aijun Shen

27 papers receiving 772 citations

Peers

Aijun Shen

BIOMA

Alexander Liberman United States

Thomas Vangijzegem Belgium

Tobias Preiß Germany

Salame Haddad United Kingdom

Megan J. Neufeld United States

Angelika Mielcarek France

Dengtong Huang China

Neena G. Shetake India

Alokita Karmakar United States

Debabrata Maiti China

Alexander Liberman United States

Aijun Shen

383 ×0.7

360 ×0.9

275 ×0.9

BIOMA

130 ×0.9

33 ×0.8

Citations per year, relative to Aijun Shen Aijun Shen (= 1×) peers Alexander Liberman

Countries citing papers authored by Aijun Shen

Since Specialization

Citations

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

Fields of papers citing papers by Aijun Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aijun Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Aijun Shen. A scholar is included among the top collaborators of Aijun Shen 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 Aijun Shen. Aijun Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liu, Xiaowen, Yihao Guo, Zhicheng Xie, et al.. (2025). Design, synthesis, and biological evaluation of KDM5B degraders against hematologic malignancy cells. European Journal of Medicinal Chemistry. 296. 117883–117883.

Li, Ping, Aijun Shen, Yan Lu, et al.. (2024). Indicators describing the tumor lesion aggregation and dissemination and their impact on the prognosis of patients with diffuse large B cell lymphoma receiving chimeric antigen receptor T cell therapy. Cancer Medicine. 13(6). e6991–e6991. 3 indexed citations

Li, Minghua, Chao Lin, Aijun Shen, et al.. (2024). A Smart Responsive Nanotheranostic System for MRI of Tumor Response to Immunotherapy and Enhanced Synergism of Thermo‐Immunotherapy. Advanced Functional Materials. 34(23). 6 indexed citations

Wu, Peng, et al.. (2024). The Value of Amide Proton Transfer MRI in the Diagnosis of Malignant and Benign Urinary Bladder Lesions: Comparison With Diffusion‐Weighted Imaging. Journal of Magnetic Resonance Imaging. 60(3). 1124–1133. 1 indexed citations

Wang, Fang, et al.. (2023). Amide proton transfer-weighted MRI for renal tumors: Comparison with diffusion-weighted imaging. Magnetic Resonance Imaging. 106. 104–109. 1 indexed citations

Shen, Aijun, Gangmin Wang, Xianfu Meng, et al.. (2023). An Adaptable Nanoprobe Integrated with Quantitative T ₁ ‐Mapping MRI for Accurate Differential Diagnosis of Multidrug‐Resistant Lung Cancer. Advanced Healthcare Materials. 12(31). e2300684–e2300684. 3 indexed citations

Li, Minghua, Chao Lin, Aijun Shen, et al.. (2023). A Smart Responsive Fluorescence‐MR Nanoprobe for Monitoring Tumor Response to Immunotherapy. Advanced Healthcare Materials. 12(24). e2300602–e2300602. 11 indexed citations

Wang, Fang, et al.. (2022). Evaluation of amide proton transfer imaging for bladder cancer histopathologic features: A comparative study with diffusion- weighted imaging. European Journal of Radiology. 159. 110664–110664. 8 indexed citations

Xu, Yan, et al.. (2022). The feasibility of amide proton transfer imaging at 3 T for bladder cancer: a preliminary study. Clinical Radiology. 77(10). 776–783. 2 indexed citations

10.

Han, Yi, Yanchao Liu, Xiaoyi Ma, et al.. (2021). Antibiotics armed neutrophils as a potential therapy for brain fungal infection caused by chemotherapy-induced neutropenia. Biomaterials. 274. 120849–120849. 11 indexed citations

11.

Li, Minghua, Xiaolong Gao, Chao Lin, et al.. (2021). An intelligent responsive macrophage cell membrane-camouflaged mesoporous silicon nanorod drug delivery system for precise targeted therapy of tumors. Journal of Nanobiotechnology. 19(1). 336–336. 33 indexed citations

12.

Wei, Lai, Yun Xu, Xiang Zhou, et al.. (2021). Prediction of Progression to Severe Stroke in Initially Diagnosed Anterior Circulation Ischemic Cerebral Infarction. Frontiers in Neurology. 12. 652757–652757. 6 indexed citations

13.

Lv, Qi, Gangmin Wang, Yinan Zhang, et al.. (2021). CircAGAP1 promotes tumor progression by sponging miR-15-5p in clear cell renal cell carcinoma. Journal of Experimental & Clinical Cancer Research. 40(1). 76–76. 23 indexed citations

14.

Wang, Kun, Huilin Zhang, Aijun Shen, et al.. (2019). Magnetic resonance energy transfer for in vivo glutathione susceptibility weighted imaging. Biomaterials. 232. 119703–119703. 17 indexed citations

15.

Meng, Xianfu, Yanyan Liu, Aijun Shen, et al.. (2019). Susceptibility-weighted imaging for metabolic pathway mapping of low-dosage nanoparticles in organisms. Biomaterials. 230. 119631–119631. 11 indexed citations

16.

Feng, Feng, Fulin Qiang, Aijun Shen, et al.. (2018). Dynamic contrast-enhanced MRI versus 18F-FDG PET/CT: Which is better in differentiation between malignant and benign solitary pulmonary nodules?. Chinese Journal of Cancer Research. 30(1). 21–30. 5 indexed citations

17.

Shen, Aijun, Xianfu Meng, Xiaolong Gao, et al.. (2018). An Adaptable Nanoplatform for Integrating Anatomic and Functional Magnetic Resonance Imaging under a 3.0 T Magnetic Field. Advanced Functional Materials. 29(2). 16 indexed citations

18.

Chekli, Laura, Bita Bayatsarmadi, Ryo Sekine, et al.. (2015). Analytical characterisation of nanoscale zero-valent iron: A methodological review. Analytica Chimica Acta. 903. 13–35. 89 indexed citations

19.

Wen, Ya, et al.. (2015). Nano-assembly of bovine serum albumin driven by rare-earth-ion (Gd) biomineralization for highly efficient photodynamic therapy and tumor imaging. Journal of Materials Chemistry B. 4(4). 743–751. 41 indexed citations

20.

Wen, Huiyun, Chunyan Dong, Haiqing Dong, et al.. (2012). Engineered Redox‐Responsive PEG Detachment Mechanism in PEGylated Nano‐Graphene Oxide for Intracellular Drug Delivery. Small. 8(5). 760–769. 280 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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