Teng Yang

4.9k total citations · 1 hit paper
132 papers, 4.0k citations indexed

About

Teng Yang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Teng Yang has authored 132 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Materials Chemistry, 34 papers in Electrical and Electronic Engineering and 26 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Teng Yang's work include 2D Materials and Applications (47 papers), Graphene research and applications (27 papers) and Perovskite Materials and Applications (18 papers). Teng Yang is often cited by papers focused on 2D Materials and Applications (47 papers), Graphene research and applications (27 papers) and Perovskite Materials and Applications (18 papers). Teng Yang collaborates with scholars based in China, Japan and United States. Teng Yang's co-authors include Zhidong Zhang, Huaihong Guo, David J. Hart, Riichiro Saito, David Tománek, Guangbo Liu, Luhua Jiang, Savaş Berber, Tao Peng and Yingying Dai and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Teng Yang

121 papers receiving 3.9k citations

Hit Papers

The promise and challenges of combination therapies with ... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teng Yang China 35 2.4k 1.4k 715 562 537 132 4.0k
Yimin Chao United Kingdom 32 1.6k 0.7× 1.3k 1.0× 506 0.7× 720 1.3× 102 0.2× 114 3.3k
S. Takata Japan 35 3.1k 1.3× 2.5k 1.8× 811 1.1× 244 0.4× 226 0.4× 133 4.4k
Zengming Zhang China 29 1.5k 0.6× 877 0.6× 509 0.7× 298 0.5× 166 0.3× 159 3.1k
J. W. González Chile 16 1.8k 0.7× 1.1k 0.8× 399 0.6× 435 0.8× 324 0.6× 40 2.8k
Hao Zhu China 32 2.3k 1.0× 737 0.5× 378 0.5× 376 0.7× 378 0.7× 89 3.8k
Chen Wang China 35 1.7k 0.7× 1.1k 0.8× 464 0.6× 654 1.2× 181 0.3× 138 3.9k
Haibo Wang China 40 2.1k 0.9× 4.9k 3.5× 1.3k 1.8× 378 0.7× 505 0.9× 182 6.6k
Xiaoguang Zhang United States 32 1.4k 0.6× 696 0.5× 746 1.0× 1.0k 1.8× 200 0.4× 114 3.0k
Ruijiang Hong China 34 1.8k 0.8× 1.2k 0.9× 721 1.0× 204 0.4× 330 0.6× 123 3.6k
Haitao Yang China 41 3.1k 1.3× 2.0k 1.5× 1.9k 2.6× 1.4k 2.4× 1.8k 3.4× 156 6.7k

Countries citing papers authored by Teng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Teng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Teng Yang. A scholar is included among the top collaborators of Teng Yang 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 Yang. Teng Yang 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.
Yang, Teng, et al.. (2025). BN-Doped Polycyclic Aromatic Hydrocarbons and Their Applications in Optoelectronics. Molecules. 30(21). 4252–4252.
2.
Yang, Teng, et al.. (2025). Ganoderma lucidum polysaccharides: A comprehensive overview of pharmacological effects and future perspectives. Food Bioscience. 64. 105990–105990. 2 indexed citations
3.
Saito, Riichiro, et al.. (2025). QR-code: An open-source program for double resonance Raman spectra. Computer Physics Communications. 320. 110005–110005.
4.
Jiang, Yuxuan, Xingkun Ning, Renhui Liu, et al.. (2025). 2D ferroelectric narrow-bandgap semiconductor Wurtzite’ type α-In2Se3 and its silicon-compatible growth. Nature Communications. 16(1). 7364–7364. 3 indexed citations
5.
Ye, Zhang, Renhui Liu, Xingzhi Wang, et al.. (2025). Polarized double-resonance Raman spectra of black phosphorus. Journal of Material Science and Technology. 262. 244–251. 1 indexed citations
6.
Tian, Xue‐Fei, Teng Yang, Yujie Dai, et al.. (2025). Lysosomal Cathepsin S Escape Facilitates Near Infrared Light‐Triggered Pyroptosis Via an Antibody‐Indocyanine Green Conjugate. Advanced Science. 12(34). e04851–e04851. 2 indexed citations
7.
Tang, Xiaomin, Xintong Li, Teng Yang, et al.. (2025). Construction of Boron-Promoted Ti Active Centers in Titanosilicates for Selective Oxidation Reactions. Journal of the American Chemical Society. 147(44). 41138–41148.
8.
Meng, Ziyu, Zijing Zhao, Biao Zhang, et al.. (2025). Spontaneous Topological Hall Effect in Intercalated Co1/3TaS2 Nanoflakes with Non‐Coplanar Antiferromagnetic Order. Advanced Functional Materials. 35(42).
9.
Li, Xiaoqi, Jiaqi Liu, Fan Xu, et al.. (2025). Interface Element Accumulation‐Induced Single Ferroelectric Domain for High‐Performance Neuromorphic Synapse. Advanced Functional Materials. 35(28). 5 indexed citations
10.
Yang, Teng, et al.. (2024). Ganoderma Lucidum polysaccharide peptide (GL-PP2): A potential therapeutic agent against sepsis-induced organ injury by modulating Nrf2/NF-κB pathways. International Journal of Biological Macromolecules. 285. 138378–138378. 2 indexed citations
11.
Li, Da, Bo Zhang, Bing Yang, et al.. (2024). Magnetic suppression for a possible Fe-poor organic–inorganic hybrid superconductor Fe14Se16(tepa)0.8 (tepa = tetraethylenepentamine) with a superconducting transition at ∼42 K. Journal of Material Science and Technology. 198. 98–110. 3 indexed citations
13.
Zhang, Xingxing, Ye Zhang, Xinwei Tao, et al.. (2024). Scalable Synthesis of High‐Quality Ultrathin Ferroelectric Magnesium Molybdenum Oxide. Advanced Materials. 36(24). e2308550–e2308550. 6 indexed citations
15.
Li, Xiaoqi, Jiaqi Liu, Biaohong Huang, et al.. (2024). Epitaxial Strain Enhanced Ferroelectric Polarization toward a Giant Tunneling Electroresistance. ACS Nano. 18(11). 7989–8001. 9 indexed citations
16.
Hung, Nguyen Tuan, et al.. (2023). QERaman: An open-source program for calculating resonance Raman spectra based on Quantum ESPRESSO. Computer Physics Communications. 295. 108967–108967. 13 indexed citations
17.
Fang, Hui, Teng Yang, Baolong Zhou, & Xinxuan Li. (2023). (Pro)Renin Receptor Decoy Peptide PRO20 Protects against Oxidative Renal Damage Induced by Advanced Oxidation Protein Products. Molecules. 28(7). 3017–3017. 3 indexed citations
18.
Sun, Xingdan, Shihao Zhang, Honglei Zhu, et al.. (2021). Correlated states in doubly-aligned hBN/graphene/hBN heterostructures. Nature Communications. 12(1). 7196–7196. 33 indexed citations
19.
Liu, Tingting, Teng Yang, Kaixian Chen, et al.. (2019). The inhibitory mechanism of aurintricarboxylic acid targeting serine/threonine phosphatase Stp1 in Staphylococcus aureus: insights from molecular dynamics simulations. Acta Pharmacologica Sinica. 40(6). 850–858. 10 indexed citations
20.
Murooka, Yoshie, et al.. (2008). Direct Observation of Optically Induced Transient Structures in Graphite Using Ultrafast Electron Crystallography. Physical Review Letters. 101(7). 77401–77401. 108 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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