Teng Su

4.3k total citations · 3 hit papers
57 papers, 3.1k citations indexed

About

Teng Su is a scholar working on Biomaterials, Materials Chemistry and Surgery. According to data from OpenAlex, Teng Su has authored 57 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomaterials, 15 papers in Materials Chemistry and 11 papers in Surgery. Recurrent topics in Teng Su's work include Electrospun Nanofibers in Biomedical Applications (8 papers), Tissue Engineering and Regenerative Medicine (7 papers) and Hydrogels: synthesis, properties, applications (7 papers). Teng Su is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (8 papers), Tissue Engineering and Regenerative Medicine (7 papers) and Hydrogels: synthesis, properties, applications (7 papers). Teng Su collaborates with scholars based in China, United States and Taiwan. Teng Su's co-authors include Ke Huang, Shiqi Hu, Zhenhua Li, Jhon Cores, Ke Cheng, Phuong‐Uyen Dinh, Qigang Wang, Li Qiao, Deliang Shen and Ke Cheng and has published in prestigious journals such as Journal of Clinical Investigation, Nano Letters and ACS Nano.

In The Last Decade

Teng Su

57 papers receiving 3.1k citations

Hit Papers

Tumor cell-derived exosomes home to their cells of origin... 2019 2026 2021 2023 2020 2019 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teng Su China 28 1.3k 826 822 568 495 57 3.1k
Junnan Tang China 30 1.3k 0.9× 846 1.0× 799 1.0× 1.0k 1.8× 410 0.8× 104 3.3k
Adam C. Midgley China 33 1.2k 0.9× 1.1k 1.3× 1.1k 1.4× 850 1.5× 249 0.5× 88 3.6k
Ke Huang China 37 2.8k 2.1× 864 1.0× 973 1.2× 1.4k 2.4× 1.3k 2.6× 115 5.0k
Hang T. Ta Australia 41 951 0.7× 1.7k 2.1× 1.3k 1.5× 394 0.7× 239 0.5× 117 4.3k
Hongwei Cheng China 35 1.7k 1.2× 1.3k 1.6× 545 0.7× 688 1.2× 366 0.7× 101 4.3k
Ning‐Ping Huang China 29 1.8k 1.4× 1.5k 1.8× 817 1.0× 447 0.8× 645 1.3× 67 4.0k
Xiaolin Cui China 32 888 0.7× 1.8k 2.2× 680 0.8× 643 1.1× 230 0.5× 98 3.7k
Ying Luo China 38 1.5k 1.1× 1.4k 1.7× 1.1k 1.3× 639 1.1× 346 0.7× 210 5.3k
Hak‐Joon Sung United States 33 878 0.7× 2.0k 2.4× 1.5k 1.8× 897 1.6× 217 0.4× 116 4.1k
Tieying Yin China 31 1.1k 0.8× 866 1.0× 1.0k 1.2× 508 0.9× 380 0.8× 87 2.8k

Countries citing papers authored by Teng Su

Since Specialization
Citations

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

Fields of papers citing papers by Teng Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teng Su

This figure shows the co-authorship network connecting the top 25 collaborators of Teng Su. A scholar is included among the top collaborators of Teng Su 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 Teng Su. Teng Su 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.
Xue, Songling, et al.. (2024). A Data-Driven Method Based on Bidirectional Convolutional Current Neural Network to Detect Structural Damage. Iranian Journal of Science and Technology Transactions of Civil Engineering. 49(1). 579–595. 1 indexed citations
2.
Ma, Chao, et al.. (2024). Preparation of (Ba0.25Ca0.25Sr0.25La0.25)Ti1-xAlxO3 high-entropy perovskite ceramics for enhanced microwave dielectric performance. Journal of Alloys and Compounds. 1010. 177719–177719. 2 indexed citations
3.
Chen, Huanle, Mingyuan Hao, Teng Su, et al.. (2023). Modulation effect of Zr-Sm co-doped on microwave absorption performance of barium ferrite. Journal of Alloys and Compounds. 976. 173246–173246. 7 indexed citations
4.
Su, Teng, Huanle Chen, Zhiyang Wei, et al.. (2023). Structure and microwave dielectric properties of Al3+-doped (Zn1/6Ba1/6Ca1/6Sr1/6La1/3)TiO3 high-entropy ceramics system. Ceramics International. 50(3). 5043–5051. 14 indexed citations
5.
Carling, Paul A., John D. Jansen, Teng Su, Jane Lund Andersen, & Mads Faurschou Knudsen. (2023). Ice-buttressing-controlled rock slope failure on a cirque headwall, Lake District, UK. Earth Surface Dynamics. 11(4). 817–833. 2 indexed citations
6.
7.
Xue, Songling, et al.. (2023). Deep reference autoencoder convolutional neural network for damage identification in parallel steel wire cables. Structures. 57. 105316–105316. 3 indexed citations
8.
Hu, Shiqi, Zhenhua Li, Deliang Shen, et al.. (2021). Exosome-eluting stents for vascular healing after ischaemic injury. Nature Biomedical Engineering. 5(10). 1174–1188. 161 indexed citations breakdown →
9.
Hu, Shiqi, Xianyun Wang, Zhenhua Li, et al.. (2021). Platelet membrane and stem cell exosome hybrids enhance cellular uptake and targeting to heart injury. Nano Today. 39. 101210–101210. 110 indexed citations
10.
Hu, Shiqi, Zhenhua Li, Halle Lutz, et al.. (2020). Dermal exosomes containing miR-218-5p promote hair regeneration by regulating β-catenin signaling. Science Advances. 6(30). eaba1685–eaba1685. 147 indexed citations
11.
Qiao, Li, Shiqi Hu, Ke Huang, et al.. (2020). Tumor cell-derived exosomes home to their cells of origin and can be used as Trojan horses to deliver cancer drugs. Theranostics. 10(8). 3474–3487. 325 indexed citations breakdown →
12.
Li, Zhenhua, Shiqi Hu, Ke Huang, et al.. (2020). Targeted anti–IL-1β platelet microparticles for cardiac detoxing and repair. Science Advances. 6(6). eaay0589–eaay0589. 80 indexed citations
13.
Qiao, Li, Shiqi Hu, Suyun Liu, et al.. (2019). microRNA-21-5p dysregulation in exosomes derived from heart failure patients impairs regenerative potential. Journal of Clinical Investigation. 129(6). 2237–2250. 229 indexed citations
14.
Tang, Junnan, Jinqiang Wang, Ke Huang, et al.. (2018). Cardiac cell–integrated microneedle patch for treating myocardial infarction. Science Advances. 4(11). eaat9365–eaat9365. 249 indexed citations
15.
Li, Zhenhua, Deliang Shen, Shiqi Hu, et al.. (2018). Pretargeting and Bioorthogonal Click Chemistry-Mediated Endogenous Stem Cell Homing for Heart Repair. ACS Nano. 12(12). 12193–12200. 57 indexed citations
16.
Liang, Hongxia, Ke Huang, Teng Su, et al.. (2018). Mesenchymal Stem Cell/Red Blood Cell-Inspired Nanoparticle Therapy in Mice with Carbon Tetrachloride-Induced Acute Liver Failure. ACS Nano. 12(7). 6536–6544. 118 indexed citations
17.
Bao, Song, Dongbei Wu, Qigang Wang, & Teng Su. (2014). Functional Elastic Hydrogel as Recyclable Membrane for the Adsorption and Degradation of Methylene Blue. PLoS ONE. 9(2). e88802–e88802. 14 indexed citations
18.
Liu, Xinhua, et al.. (2014). Tough Nanocomposite Ionogel-based Actuator Exhibits Robust Performance. Scientific Reports. 4(1). 6673–6673. 75 indexed citations
19.
Gao, Lu, Yihua Wu, Teng Su, et al.. (2013). BSA–rGO nanocomposite hydrogel formed by UV polymerization and in situ reduction applied as biosensor electrode. Journal of Materials Chemistry B. 1(40). 5393–5393. 20 indexed citations
20.
Yuan, Xubo, et al.. (2007). Evaluation of blood circulation of polysaccharide surface-decorated PLA nanoparticles. Carbohydrate Polymers. 72(1). 75–81. 34 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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