Geoffrey D. Wang

1.5k total citations
12 papers, 1.3k citations indexed

About

Geoffrey D. Wang is a scholar working on Biomedical Engineering, Materials Chemistry and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Geoffrey D. Wang has authored 12 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Materials Chemistry and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Geoffrey D. Wang's work include Nanoplatforms for cancer theranostics (8 papers), Photodynamic Therapy Research Studies (5 papers) and Carbon and Quantum Dots Applications (4 papers). Geoffrey D. Wang is often cited by papers focused on Nanoplatforms for cancer theranostics (8 papers), Photodynamic Therapy Research Studies (5 papers) and Carbon and Quantum Dots Applications (4 papers). Geoffrey D. Wang collaborates with scholars based in United States, China and Georgia. Geoffrey D. Wang's co-authors include Hongmin Chen, Jin Xie, Baozhong Shen, Zhonglin Hao, Zipeng Zhen, Zibo Li, Weizhong Zhang, Trever Todd, Koichi Nagata and Wei Tang and has published in prestigious journals such as Advanced Materials, Nano Letters and Advanced Functional Materials.

In The Last Decade

Geoffrey D. Wang

12 papers receiving 1.3k citations

Peers

Geoffrey D. Wang
Geoffrey D. Wang
Citations per year, relative to Geoffrey D. Wang Geoffrey D. Wang (= 1×) peers Anne‐Laure Bulin

Countries citing papers authored by Geoffrey D. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Geoffrey D. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey D. Wang

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

All Works

12 of 12 papers shown
1.
Tang, Wei, Zipeng Zhen, Mengzhe Wang, et al.. (2022). Red Blood Cell‐Facilitated Photodynamic Therapy for Cancer Treatment. Advanced Functional Materials. 32(48). 4 indexed citations
2.
Chen, Hongmin, Yuwei Qiu, Dandan Ding, et al.. (2018). Gadolinium‐Encapsulated Graphene Carbon Nanotheranostics for Imaging‐Guided Photodynamic Therapy. Advanced Materials. 30(36). e1802748–e1802748. 167 indexed citations
3.
Chen, Hongmin, Xilin Sun, Geoffrey D. Wang, et al.. (2017). LiGa5O8:Cr-based theranostic nanoparticles for imaging-guided X-ray induced photodynamic therapy of deep-seated tumors. Materials Horizons. 4(6). 1092–1101. 145 indexed citations
4.
Wang, Geoffrey D., Hongmin Chen, Wei Tang, Daye Lee, & Jin Xie. (2016). Gd and Eu Co-Doped Nanoscale Metal–Organic Framework as a T1–T2 Dual-Modal Contrast Agent for Magnetic Resonance Imaging. Tomography. 2(3). 179–187. 27 indexed citations
5.
Wang, Geoffrey D., Há Thi Nguyen, Hongmin Chen, et al.. (2016). X-Ray Induced Photodynamic Therapy: A Combination of Radiotherapy and Photodynamic Therapy. Theranostics. 6(13). 2295–2305. 197 indexed citations
6.
Tang, Wei, Zipeng Zhen, Mengzhe Wang, et al.. (2016). Red Blood Cell‐Facilitated Photodynamic Therapy for Cancer Treatment. Advanced Functional Materials. 26(11). 1757–1768. 200 indexed citations
7.
Chen, Hongmin, Geoffrey D. Wang, Xilin Sun, et al.. (2016). Mesoporous Silica as Nanoreactors to Prepare Gd‐Encapsulated Carbon Dots of Controllable Sizes and Magnetic Properties. Advanced Functional Materials. 26(22). 3973–3982. 58 indexed citations
8.
Chen, Hongmin, Geoffrey D. Wang, Xilin Sun, et al.. (2016). Gd Carbon Dots: Mesoporous Silica as Nanoreactors to Prepare Gd‐Encapsulated Carbon Dots of Controllable Sizes and Magnetic Properties (Adv. Funct. Mater. 22/2016). Advanced Functional Materials. 26(22). 4036–4036. 2 indexed citations
9.
Cowger, Taku, Wei Tang, Zipeng Zhen, et al.. (2015). Casein-Coated Fe5C2 Nanoparticles with Superior r2 Relaxivity for Liver-Specific Magnetic Resonance Imaging. Theranostics. 5(11). 1225–1232. 31 indexed citations
10.
Chen, Hongmin, Geoffrey D. Wang, Zipeng Zhen, et al.. (2015). Nanoscintillator-Mediated X-ray Inducible Photodynamic Therapy for In Vivo Cancer Treatment. Nano Letters. 15(4). 2249–2256. 324 indexed citations
11.
Chen, Hongmin, Geoffrey D. Wang, Wei Tang, et al.. (2014). Gd‐Encapsulated Carbonaceous Dots with Efficient Renal Clearance for Magnetic Resonance Imaging. Advanced Materials. 26(39). 6761–6766. 152 indexed citations
12.
Zhang, Qing, Hua Yang, Shin J. Kang, et al.. (2011). In Vivo High-Frequency, Contrast-Enhanced Ultrasonography of Uveal Melanoma in Mice: Imaging Features and Histopathologic Correlations. Investigative Ophthalmology & Visual Science. 52(5). 2662–2662. 23 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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