Dengbin Wang

1.5k total citations
37 papers, 1.1k citations indexed

About

Dengbin Wang is a scholar working on Biomedical Engineering, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dengbin Wang has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 13 papers in Oncology and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dengbin Wang's work include Nanoplatforms for cancer theranostics (15 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Nanoparticle-Based Drug Delivery (5 papers). Dengbin Wang is often cited by papers focused on Nanoplatforms for cancer theranostics (15 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Nanoparticle-Based Drug Delivery (5 papers). Dengbin Wang collaborates with scholars based in China, Sweden and Switzerland. Dengbin Wang's co-authors include Jinning Li, Huanhuan Liu, Weishun Lan, Defan Yao, Yanshu Wang, Tingting Zhang, Fang Liu, Bingbo Zhang, Kexin Bian and Weitao Yang and has published in prestigious journals such as Nature Communications, Biomaterials and Analytical Chemistry.

In The Last Decade

Dengbin Wang

31 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dengbin Wang China 14 441 244 238 210 163 37 1.1k
Jinning Li China 12 169 0.4× 242 1.0× 45 0.2× 370 1.8× 52 0.3× 27 876
Tina Lam China 14 186 0.4× 96 0.4× 77 0.3× 760 3.6× 71 0.4× 27 1.5k
René Hornung Switzerland 20 588 1.3× 134 0.5× 130 0.5× 381 1.8× 192 1.2× 75 1.5k
Frédéric Marchal France 19 117 0.3× 75 0.3× 137 0.6× 36 0.2× 94 0.6× 76 1.1k
Zbigniew Starosolski United States 17 453 1.0× 54 0.2× 170 0.7× 183 0.9× 148 0.9× 35 901
Alessandro Ruggiero United Kingdom 16 299 0.7× 23 0.1× 137 0.6× 187 0.9× 426 2.6× 54 1.3k
Chen-Hsi Hsieh Taiwan 22 82 0.2× 108 0.4× 175 0.7× 162 0.8× 297 1.8× 112 1.6k
Rachel Morrison United States 12 235 0.5× 70 0.3× 53 0.2× 59 0.3× 298 1.8× 34 954
Feng Pan China 15 141 0.3× 151 0.6× 53 0.2× 18 0.1× 189 1.2× 37 779

Countries citing papers authored by Dengbin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dengbin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dengbin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dengbin Wang. A scholar is included among the top collaborators of Dengbin Wang 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 Dengbin Wang. Dengbin Wang 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.
Hu, Jingjing, Chunting Wang, Defan Yao, & Dengbin Wang. (2025). Ratiometric MRI probes for tumor microenvironment profiling: Design principles, multimodal validation, and future perspectives in precision oncology. Coordination Chemistry Reviews. 537. 216709–216709. 1 indexed citations
2.
Cai, Xingxing, Qian Li, Jing Cai, et al.. (2025). Pulmonary artery denervation by noninvasive stereotactic radiotherapy: a pilot study in swine models of pulmonary hypertension. Nature Communications. 16(1). 558–558. 1 indexed citations
3.
4.
Huang, Yi, Chunting Wang, Yanhong Chen, Dengbin Wang, & Defan Yao. (2025). Nanomedicine-induced pyroptosis for anti-tumor immunotherapy: Mechanism analysis and application prospects. Acta Pharmaceutica Sinica B. 15(7). 3487–3510. 4 indexed citations
5.
Yao, Defan & Dengbin Wang. (2025). Tumor microenvironment-responsive peptide-based molecular probe for cancer immunotherapy. Photodiagnosis and Photodynamic Therapy. 56. 105182–105182.
6.
Huang, Yi, Huanhuan Liu, Yanhong Chen, et al.. (2025). Human serum albumin-based KBiF4@HSA nanoclusters for dual-energy computed tomography and glutathione-scavenging radiotherapy of breast cancer. Journal of Nanobiotechnology. 23(1). 451–451.
7.
Yao, Defan, Yanshu Wang, Yanhong Chen, et al.. (2025). Renal-clearable and tumor-retained nanodots overcoming metabolic reprogramming to boost mitochondrial-targeted photodynamic therapy in triple-negative breast cancer. Journal of Nanobiotechnology. 23(1). 195–195. 2 indexed citations
8.
Liu, Huanhuan, et al.. (2025). Predicting pediatric age from chest X-rays using deep learning: a novel approach. Insights into Imaging. 16(1). 184–184. 1 indexed citations
9.
Wang, Chunting, et al.. (2024). Tumor-specific theranostics with stimulus-responsive MRI nanoprobes: Current advances and future perspectives. Coordination Chemistry Reviews. 527. 216402–216402. 3 indexed citations
10.
Chen, Yanhong, et al.. (2024). Bio-orthogonal click chemistry strategy for PD-L1-targeted imaging and pyroptosis-mediated chemo-immunotherapy of triple-negative breast cancer. Journal of Nanobiotechnology. 22(1). 461–461. 11 indexed citations
11.
Wang, Lijun, Ran Luo, Yanhong Chen, et al.. (2023). Breast Cancer Growth on Serial MRI : Volume Doubling Time Based on 3‐Dimensional Tumor Volume Assessment. Journal of Magnetic Resonance Imaging. 58(4). 1303–1313.
12.
Chen, Yanhong, Lijun Wang, Ran Luo, et al.. (2023). Focal breast edema and breast edema score on T2-weighted images provides valuable biological information for invasive breast cancer. Insights into Imaging. 14(1). 73–73. 8 indexed citations
13.
Chen, Yanhong, Lijun Wang, Xue Dong, et al.. (2023). Deep Learning Radiomics of Preoperative Breast MRI for Prediction of Axillary Lymph Node Metastasis in Breast Cancer. Journal of Digital Imaging. 36(4). 1323–1331. 25 indexed citations
14.
Zhan, Xia, Huiwen Zhang, Gustavo Maegawa, et al.. (2023). Use of Ambroxol as Therapy for Gaucher Disease. JAMA Network Open. 6(6). e2319364–e2319364. 13 indexed citations
15.
Liu, Huanhuan, Hongkun Yin, Jinning Li, et al.. (2022). A Deep Learning Model Based on MRI and Clinical Factors Facilitates Noninvasive Evaluation of KRAS Mutation in Rectal Cancer. Journal of Magnetic Resonance Imaging. 56(6). 1659–1668. 10 indexed citations
16.
Chu, Caiting, et al.. (2021). Quantifying magnetic resonance imaging features to classify placenta accreta spectrum (PAS) in high-risk gravid patients. Clinical Imaging. 80. 50–57. 8 indexed citations
17.
Liu, Huanhuan, Hua Ren, He Xu, et al.. (2021). CT radiomics facilitates more accurate diagnosis of COVID-19 pneumonia: compared with CO-RADS. Journal of Translational Medicine. 19(1). 29–29. 37 indexed citations
18.
Liu, Huanhuan, Liang Hou, Jinning Li, et al.. (2020). <p>Clinico-Radiological Features and Outcomes in Pregnant Women with COVID-19 Pneumonia Compared with Age-Matched Non-Pregnant Women</p>. Infection and Drug Resistance. Volume 13. 2845–2854. 23 indexed citations
19.
Liu, Huanhuan, Fang Liu, Jinning Li, et al.. (2020). Clinical and CT imaging features of the COVID-19 pneumonia: Focus on pregnant women and children. Journal of Infection. 80(5). e7–e13. 351 indexed citations
20.
Wang, Yanshu, Huanhuan Liu, Defan Yao, et al.. (2019). 18F-labeled magnetic nanoparticles for monitoring anti-angiogenic therapeutic effects in breast cancer xenografts. Journal of Nanobiotechnology. 17(1). 105–105. 16 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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