Xiao‐Ting Gong

754 total citations · 1 hit paper
9 papers, 679 citations indexed

About

Xiao‐Ting Gong is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Surgery. According to data from OpenAlex, Xiao‐Ting Gong has authored 9 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biomedical Engineering, 3 papers in Electrical and Electronic Engineering and 2 papers in Surgery. Recurrent topics in Xiao‐Ting Gong's work include Nanoplatforms for cancer theranostics (4 papers), Photoacoustic and Ultrasonic Imaging (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). Xiao‐Ting Gong is often cited by papers focused on Nanoplatforms for cancer theranostics (4 papers), Photoacoustic and Ultrasonic Imaging (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). Xiao‐Ting Gong collaborates with scholars based in China, Singapore and Bangladesh. Xiao‐Ting Gong's co-authors include Zhi Yang, Hu‐Lin Li, Pengyu Tao, Yunjie Zhang, Guoqing Zhang, Yongqing Zhao, Min Lu, Hao‐Li Zhang, Yong Huo and Guanghao Lu and has published in prestigious journals such as Advanced Materials, Chemistry of Materials and Advanced Functional Materials.

In The Last Decade

Xiao‐Ting Gong

9 papers receiving 667 citations

Hit Papers

Hierarchically porous and heteroatom doped carbon derived... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao‐Ting Gong China 7 501 465 225 121 109 9 679
Prateek Bhojane India 12 596 1.2× 501 1.1× 213 0.9× 171 1.4× 112 1.0× 13 838
Chuang Geng China 6 429 0.9× 466 1.0× 98 0.4× 122 1.0× 57 0.5× 9 580
Yunjie Ping China 13 350 0.7× 431 0.9× 135 0.6× 82 0.7× 97 0.9× 19 578
Fatemeh Ataherian Iran 9 493 1.0× 559 1.2× 217 1.0× 85 0.7× 90 0.8× 9 683
Akash V. Fulari India 16 452 0.9× 455 1.0× 168 0.7× 126 1.0× 81 0.7× 46 662
Christoph Schütter Germany 15 555 1.1× 593 1.3× 244 1.1× 77 0.6× 97 0.9× 20 753
Maqsood R. Waikar India 15 563 1.1× 657 1.4× 334 1.5× 150 1.2× 145 1.3× 45 944
Shweta Tanwar India 20 625 1.2× 737 1.6× 227 1.0× 186 1.5× 56 0.5× 42 902
S.B. Ubale India 14 394 0.8× 444 1.0× 161 0.7× 115 1.0× 89 0.8× 20 569

Countries citing papers authored by Xiao‐Ting Gong

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Ting Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao‐Ting Gong. 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 Xiao‐Ting Gong. The network helps show where Xiao‐Ting Gong may publish in the future.

Co-authorship network of co-authors of Xiao‐Ting Gong

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

All Works

9 of 9 papers shown
1.
Gong, Xiao‐Ting, Xianyin Dai, Wei Cheng, et al.. (2025). Targeted High‐Resolution 3D Imaging of Tumor Vasculatures at Different Stages Using Far‐Red AIE Nanoparticles Compatible with Tissue Clearing. Advanced Materials. 37(14). e2501144–e2501144. 6 indexed citations
2.
Gong, Xiao‐Ting, Jiahao Zhuang, Kok Chan Chong, et al.. (2024). Far‐Red Aggregation‐Induced Emission Hydrogel‐Reinforced Tissue Clearing for 3D Vasculature Imaging of Whole Lung and Whole Tumor. Advanced Materials. 36(35). e2402853–e2402853. 7 indexed citations
3.
Gong, Xiao‐Ting, Kok Chan Chong, Jiaqi Liu, et al.. (2023). AIENP‐Reinforced DISCO Method for Whole‐Tissue 3D Reconstruction of Pulmonary Capillaries. Advanced Functional Materials. 34(13). 3 indexed citations
4.
Xie, Wenguang, Xiao‐Ting Gong, Xiaofeng Cheng, et al.. (2021). LIMPID: a versatile method for visualization of brain vascular networks. Biomaterials Science. 9(7). 2658–2669. 5 indexed citations
5.
Chen, Lichuan, Jueting Zheng, Junyang Liu, et al.. (2020). Nonadditive Transport in Multi‐Channel Single‐Molecule Circuits. Small. 16(39). e2002808–e2002808. 13 indexed citations
6.
Gong, Xiao‐Ting, Wenguang Xie, Jingjing Cao, et al.. (2020). NIR-emitting semiconducting polymer nanoparticles for in vivo two-photon vascular imaging. Biomaterials Science. 8(9). 2666–2672. 9 indexed citations
7.
Huo, Yong, Xiao‐Ting Gong, Tsz‐Ki Lau, et al.. (2018). Dual-Accepting-Unit Design of Donor Material for All-Small-Molecule Organic Solar Cells with Efficiency Approaching 11%. Chemistry of Materials. 30(23). 8661–8668. 103 indexed citations
8.
Cao, Jingjing, Xin Ren, Ting Li, et al.. (2017). A highly selective two-photon probe with large turn-on signal for imaging endogenous HOCl in living cells. Dyes and Pigments. 146. 279–286. 12 indexed citations
9.
Zhao, Yongqing, Min Lu, Pengyu Tao, et al.. (2016). Hierarchically porous and heteroatom doped carbon derived from tobacco rods for supercapacitors. Journal of Power Sources. 307. 391–400. 521 indexed citations breakdown →

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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