Letao Yang

2.9k total citations
56 papers, 2.3k citations indexed

About

Letao Yang is a scholar working on Biomedical Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Letao Yang has authored 56 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Biomedical Engineering, 18 papers in Materials Chemistry and 17 papers in Molecular Biology. Recurrent topics in Letao Yang's work include Graphene and Nanomaterials Applications (18 papers), Advanced biosensing and bioanalysis techniques (10 papers) and 3D Printing in Biomedical Research (6 papers). Letao Yang is often cited by papers focused on Graphene and Nanomaterials Applications (18 papers), Advanced biosensing and bioanalysis techniques (10 papers) and 3D Printing in Biomedical Research (6 papers). Letao Yang collaborates with scholars based in United States, China and South Korea. Letao Yang's co-authors include Ki‐Bum Lee, Sy‐Tsong Dean Chueng, Jeong‐Woo Choi, Perry T. Yin, Brian Conley, Shreyas Shah, Zhen Zhou, Christopher Rathnam, Thiers Massami Uehara and Yixiao Zhang and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Letao Yang

53 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Letao Yang United States 24 1.2k 858 623 377 371 56 2.3k
Perry T. Yin United States 21 1.3k 1.1× 832 1.0× 671 1.1× 297 0.8× 397 1.1× 34 2.5k
Jiazhi Duan China 23 1.7k 1.4× 1.0k 1.2× 499 0.8× 286 0.8× 602 1.6× 40 2.5k
Benjamin S. Harrison United States 28 1.3k 1.1× 1.2k 1.4× 328 0.5× 520 1.4× 703 1.9× 53 3.3k
Jonghoon Kim South Korea 20 1.4k 1.2× 1.7k 2.0× 814 1.3× 706 1.9× 594 1.6× 31 3.3k
Shreyas Shah United States 17 1.0k 0.9× 721 0.8× 414 0.7× 259 0.7× 299 0.8× 34 1.8k
Nuoxin Wang China 23 620 0.5× 376 0.4× 610 1.0× 422 1.1× 479 1.3× 41 2.0k
Chengbin Yang China 32 1.2k 1.0× 801 0.9× 951 1.5× 406 1.1× 391 1.1× 87 2.7k
Dong Hyun Jo South Korea 31 696 0.6× 533 0.6× 1.0k 1.7× 517 1.4× 330 0.9× 116 3.0k
Baojin Ma China 33 2.4k 2.0× 1.4k 1.7× 819 1.3× 182 0.5× 858 2.3× 87 3.9k
Rongrong Jin China 27 943 0.8× 516 0.6× 697 1.1× 326 0.9× 546 1.5× 85 2.3k

Countries citing papers authored by Letao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Letao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Letao Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Letao Yang. A scholar is included among the top collaborators of Letao 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 Letao Yang. Letao 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
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Xu, Xu, Feng Gao, Qixin Chen, et al.. (2025). F-box/LRR-repeat protein 12 reorchestrated microglia to inhibit scarring and achieve adult spinal cord injury repair. Signal Transduction and Targeted Therapy. 10(1). 259–259.
4.
Yang, Letao, Pengfei Jiang, Joshua S. Stein, et al.. (2025). Mechanobiological Dynamics‐Inspired Mechanomodulatory Biomaterials. Advanced Science. 13(4). e16992–e16992.
5.
Li, Ji, Jie Liu, Letao Yang, et al.. (2024). Smart nanozymes coupled with dynamic magnet field and laser exposures for cancer therapy. Journal of Colloid and Interface Science. 676. 110–126. 4 indexed citations
6.
Yang, Letao, Yannan Hou, Jeffrey Luo, et al.. (2023). Effective Modulation of Inflammation and Oxidative Stress for Enhanced Regeneration of Intervertebral Discs Using 3D Porous Hybrid Protein Nanoscaffold. Advanced Materials. 35(41). e2303021–e2303021. 21 indexed citations
7.
Wang, Zhao‐Qi, Zhaojie Wang, Xuening Pang, et al.. (2023). LDH-doped gelatin-chitosan scaffold with aligned microchannels improves anti-inflammation and neuronal regeneration with guided axonal growth for effectively recovering spinal cord injury. Applied Materials Today. 34. 101884–101884. 9 indexed citations
8.
Yang, Letao, Bo Yang, Wanying Wang, et al.. (2023). An integrated design strategy of zinc phthalocyanine dyes for LCD dye-based color filters. Dyes and Pigments. 219. 111562–111562. 10 indexed citations
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Luo, Jeffrey, Thanapat Pongkulapa, Brian Conley, et al.. (2022). Injectable bioorthogonal hydrogel (BIOGEL) accelerates tissue regeneration in degenerated intervertebral discs. Bioactive Materials. 23. 551–562. 30 indexed citations
11.
Rathnam, Christopher, et al.. (2021). Hybrid SMART spheroids to enhance stem cell therapy for CNS injuries. Science Advances. 7(40). eabj2281–eabj2281. 31 indexed citations
12.
Choi, Jin‐Ha, Minkyu Shin, Letao Yang, et al.. (2021). Clustered Regularly Interspaced Short Palindromic Repeats-Mediated Amplification-Free Detection of Viral DNAs Using Surface-Enhanced Raman Spectroscopy-Active Nanoarray. ACS Nano. 15(8). 13475–13485. 128 indexed citations
13.
Choi, Jin‐Ha, Tae‐Hyung Kim, Waleed A. El‐Said, et al.. (2020). In Situ Detection of Neurotransmitters from Stem Cell-Derived Neural Interface at the Single-Cell Level via Graphene-Hybrid SERS Nanobiosensing. Nano Letters. 20(10). 7670–7679. 62 indexed citations
14.
Song, Xiuju, Yan Wang, Fang Zhao, et al.. (2019). Plasmon-Free Surface-Enhanced Raman Spectroscopy Using Metallic 2D Materials. ACS Nano. 13(7). 8312–8319. 128 indexed citations
15.
Han, Taewon, Letao Yang, Ki‐Bum Lee, & Gediminas Mainelis. (2018). Design and Development of a Novel Nanofiber Nasal Filter (NNF) to Improve Respiratory Health. Aerosol and Air Quality Research. 18(8). 2064–2076. 5 indexed citations
16.
Lee, Jong‐Min, Letao Yang, Eun Joong Kim, et al.. (2018). Generation of uniform-sized multicellular tumor spheroids using hydrogel microwells for advanced drug screening. Scientific Reports. 8(1). 17145–17145. 102 indexed citations
17.
Yang, Letao, Sy‐Tsong Dean Chueng, Ying Li, et al.. (2018). A biodegradable hybrid inorganic nanoscaffold for advanced stem cell therapy. Nature Communications. 9(1). 3147–3147. 97 indexed citations
18.
Rathnam, Christopher, Sy‐Tsong Dean Chueng, Letao Yang, & Ki‐Bum Lee. (2017). Advanced Gene Manipulation Methods for Stem Cell Theranostics. Theranostics. 7(11). 2775–2793. 11 indexed citations
19.
Chueng, Sy‐Tsong Dean, Letao Yang, Yixiao Zhang, & Ki‐Bum Lee. (2016). Multidimensional nanomaterials for the control of stem cell fate. Nano Convergence. 3(1). 23–23. 32 indexed citations
20.
Kim, Tae‐Hyung, Shreyas Shah, Letao Yang, et al.. (2015). Controlling Differentiation of Adipose-Derived Stem Cells Using Combinatorial Graphene Hybrid-Pattern Arrays. ACS Nano. 9(4). 3780–3790. 124 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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