Yong Cong

1.5k total citations
37 papers, 1.3k citations indexed

About

Yong Cong is a scholar working on Biomaterials, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Yong Cong has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomaterials, 14 papers in Molecular Biology and 10 papers in Organic Chemistry. Recurrent topics in Yong Cong's work include Supramolecular Self-Assembly in Materials (10 papers), Nanoplatforms for cancer theranostics (8 papers) and RNA Interference and Gene Delivery (7 papers). Yong Cong is often cited by papers focused on Supramolecular Self-Assembly in Materials (10 papers), Nanoplatforms for cancer theranostics (8 papers) and RNA Interference and Gene Delivery (7 papers). Yong Cong collaborates with scholars based in China, United States and Singapore. Yong Cong's co-authors include Hao Wang, Zeng‐Ying Qiao, Lei Ji, Dong‐Bing Cheng, Zhiyuan Hu, Yujuan Gao, Fuhua Liu, Changjuan Chen, Jincai Wu and Guobin Qi and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Yong Cong

35 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Cong China 21 627 516 483 332 270 37 1.3k
Yugang Bai China 21 341 0.5× 283 0.5× 815 1.7× 816 2.5× 351 1.3× 52 1.6k
Eun‐Kyoung Bang South Korea 17 373 0.6× 177 0.3× 884 1.8× 492 1.5× 202 0.7× 48 1.4k
Enrique Lallana United Kingdom 20 421 0.7× 323 0.6× 612 1.3× 660 2.0× 163 0.6× 25 1.5k
Nathaniel H. Park United States 17 233 0.4× 222 0.4× 241 0.5× 640 1.9× 144 0.5× 27 1.0k
Qiangying Yi China 22 575 0.9× 702 1.4× 752 1.6× 174 0.5× 295 1.1× 57 1.6k
Dominique Domurado France 18 349 0.6× 140 0.3× 272 0.6× 202 0.6× 65 0.2× 62 971
Xiaoqing Yi China 22 450 0.7× 780 1.5× 553 1.1× 123 0.4× 413 1.5× 52 1.4k
Stephen Brocchini United Kingdom 17 241 0.4× 263 0.5× 327 0.7× 398 1.2× 126 0.5× 31 1.1k
Go Saito United States 6 519 0.8× 334 0.6× 647 1.3× 271 0.8× 172 0.6× 6 1.3k
Khaled A. Aamer United States 15 241 0.4× 140 0.3× 179 0.4× 341 1.0× 211 0.8× 17 1.1k

Countries citing papers authored by Yong Cong

Since Specialization
Citations

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

Fields of papers citing papers by Yong Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Cong. A scholar is included among the top collaborators of Yong Cong 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 Yong Cong. Yong Cong 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.
Wei, Yanhong, et al.. (2024). Synthesis and function studies on formaldehyde adsorption of PEI-PU copolymers. Journal of Physics Conference Series. 2819(1). 12010–12010.
2.
Cong, Yong, et al.. (2022). Identifying molecular functional groups of organic compounds by deep learning of NMR data. Magnetic Resonance in Chemistry. 60(11). 1061–1069. 12 indexed citations
3.
Wang, Dong, Dong‐Bing Cheng, Lei Ji, et al.. (2020). Precise magnetic resonance imaging-guided sonodynamic therapy for drug-resistant bacterial deep infection. Biomaterials. 264. 120386–120386. 103 indexed citations
4.
Liu, Yuping, Yong Cong, Wei Ma, et al.. (2020). Triple Functional AB2 Unit-Modulated Facile Preparation of Bioreducible Hyperbranched Copolymers. ACS Biomaterials Science & Engineering. 6(5). 2812–2821. 6 indexed citations
5.
He, Pingping, Jiaqi Fan, Yu Fan, et al.. (2020). Live Cells Process Exogenous Peptide as Fibronectin Fibrillogenesis In Vivo. CCS Chemistry. 2(5). 539–554. 20 indexed citations
6.
An, Hongwei, Lili Li, Yi Wang, et al.. (2019). A tumour-selective cascade activatable self-detained system for drug delivery and cancer imaging. Nature Communications. 10(1). 4861–4861. 168 indexed citations
7.
Chen, Changjuan, Xiaoyang Mao, Yong Cong, et al.. (2018). Isoselective Polymerization of rac-Lactide Catalyzed by Ion-Paired Potassium Amidinate Complexes. Inorganic Chemistry. 57(6). 3158–3168. 35 indexed citations
8.
Chen, Changjuan, Zhiyong Bai, Yaqin Cui, et al.. (2018). ppm-Level Thermally Switchable Yttrium Phenoxide Catalysts for Moisture-Insensitive and Controllably Immortal Polymerization of rac-Lactide. Macromolecules. 51(17). 6800–6809. 18 indexed citations
9.
Cheng, Dong‐Bing, Guobin Qi, Jingqi Wang, et al.. (2017). In Situ Monitoring Intracellular Structural Change of Nanovehicles through Photoacoustic Signals Based on Phenylboronate-Linked RGD-Dextran/Purpurin 18 Conjugates. Biomacromolecules. 18(4). 1249–1258. 36 indexed citations
10.
Zuo, Cai, Jinlei Peng, Yong Cong, et al.. (2017). Fabrication of supramolecular star-shaped amphiphilic copolymers for ROS-triggered drug release. Journal of Colloid and Interface Science. 514. 122–131. 35 indexed citations
11.
Sun, Yangyang, Zhaowei Jia, Changjuan Chen, et al.. (2017). Alternating Sequence Controlled Copolymer Synthesis of α-Hydroxy Acids via Syndioselective Ring-Opening Polymerization of O-Carboxyanhydrides Using Zirconium/Hafnium Alkoxide Initiators. Journal of the American Chemical Society. 139(31). 10723–10732. 62 indexed citations
12.
Cheng, Dong‐Bing, Pei‐Pei Yang, Yong Cong, et al.. (2017). One-pot synthesis of pH-responsive hyperbranched polymer–peptide conjugates with enhanced stability and loading efficiency for combined cancer therapy. Polymer Chemistry. 8(16). 2462–2471. 41 indexed citations
13.
Li, Lijie, Yong Cong, Lipeng He, et al.. (2016). Multiple stimuli-responsive supramolecular gels constructed from metal–organic cycles. Polymer Chemistry. 7(41). 6288–6292. 19 indexed citations
14.
Sun, Xiuxia, et al.. (2015). A highly specific graphene platform for sensing collagen triple helix. Journal of Materials Chemistry B. 4(6). 1064–1069. 15 indexed citations
15.
Cong, Yong, et al.. (2014). Predicting and Virtually Screening the Selective Inhibitors of MMP-13 over MMP-1 by Molecular Descriptors and Machine Learning Methods. Acta Physico-Chimica Sinica. 30(1). 171–182. 3 indexed citations
16.
He, Lipeng, Jianjun Liang, Yong Cong, Xin Chen, & Weifeng Bu. (2014). Concentration and acid–base controllable fluorescence of a metallosupramolecular polymer. Chemical Communications. 50(74). 10841–10844. 29 indexed citations
17.
18.
Cong, Yong & Ying Xue. (2013). Quantitative Structure-Activity Relationship Study of the Non-Nucleoside Inhibitors of HCV NS5B Polymerase by Machine Learning Methods. Acta Physico-Chimica Sinica. 29(8). 1639–1647. 1 indexed citations
19.
Cong, Yong, et al.. (2009). Prediction of novel and selective TNF-alpha converting enzyme (TACE) inhibitors and characterization of correlative molecular descriptors by machine learning approaches. Journal of Molecular Graphics and Modelling. 28(3). 236–244. 18 indexed citations
20.
Cong, Yong. (2003). Percutaneous Vertebroplasty using Instruments and Drugs Made in China for Vertebral Metastases. The Orthopedic Journal of China. 6 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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