Ying Tan

7.6k total citations · 1 hit paper
194 papers, 5.8k citations indexed

About

Ying Tan is a scholar working on Molecular Biology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Ying Tan has authored 194 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Molecular Biology, 46 papers in Materials Chemistry and 42 papers in Biomedical Engineering. Recurrent topics in Ying Tan's work include Advanced biosensing and bioanalysis techniques (39 papers), Luminescence and Fluorescent Materials (31 papers) and Molecular Sensors and Ion Detection (24 papers). Ying Tan is often cited by papers focused on Advanced biosensing and bioanalysis techniques (39 papers), Luminescence and Fluorescent Materials (31 papers) and Molecular Sensors and Ion Detection (24 papers). Ying Tan collaborates with scholars based in China, Singapore and United States. Ying Tan's co-authors include Chunyan Tan, Yu Chen, Yuyang Jiang, Wen‐Hsiung Li, Jun Yin, Qin Chu, Feng Zhu, Haiyang Liu, Bibo Zhang and Yuyang Jiang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Ying Tan

181 papers receiving 5.7k citations

Hit Papers

Therapeutic target database 2020: enriched resource for f... 2019 2026 2021 2023 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Tan China 41 2.6k 1.3k 990 892 573 194 5.8k
Feng Ding United States 58 6.2k 2.3× 2.6k 1.9× 1.2k 1.2× 726 0.8× 571 1.0× 255 10.7k
Zheng‐Jiang Zhu China 46 4.7k 1.8× 1.2k 0.9× 1.3k 1.3× 1.8k 2.0× 160 0.3× 111 7.8k
Xun Li China 42 3.5k 1.3× 942 0.7× 336 0.3× 383 0.4× 722 1.3× 181 7.4k
Cong Liu China 52 5.9k 2.2× 1.1k 0.8× 496 0.5× 350 0.4× 372 0.6× 416 11.0k
Minyong Li China 49 3.7k 1.4× 1.5k 1.1× 951 1.0× 1.0k 1.1× 321 0.6× 282 7.7k
Hiroyuki Watanabe Japan 36 1.8k 0.7× 1.0k 0.8× 526 0.5× 365 0.4× 343 0.6× 226 5.4k
Maria Bryszewska Poland 49 5.8k 2.2× 923 0.7× 1.0k 1.0× 258 0.3× 222 0.4× 347 10.0k
Konstantin К. Turoverov Russia 42 4.1k 1.5× 1.2k 0.9× 413 0.4× 586 0.7× 156 0.3× 208 6.2k
K. Peter R. Nilsson Sweden 48 4.1k 1.6× 1.6k 1.2× 567 0.6× 780 0.9× 535 0.9× 189 8.6k
Vidyashankara Iyer United States 10 4.4k 1.7× 530 0.4× 481 0.5× 385 0.4× 517 0.9× 12 6.3k

Countries citing papers authored by Ying Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ying Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Tan. A scholar is included among the top collaborators of Ying Tan 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 Ying Tan. Ying Tan 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.
Sun, Yuanjie, et al.. (2025). Conjugated Polyelectrolyte-Based Sensor Arrays: from Sensing Mechanisms to Artificial Sensory System Conceptualization. ACS Applied Materials & Interfaces. 17(11). 16396–16409. 3 indexed citations
2.
Li, Yueting, Cheng Chao, Yingying Huo, et al.. (2025). An Efficacy- and In Vivo Exposure-Oriented Integrated Study to Investigate the Effective Components of Qishen Granule. Pharmaceuticals. 18(10). 1584–1584.
3.
Tan, Ying, Mao Lin, Ming Fang, et al.. (2024). Selection of antibacterial aptamers against Pseudomonas plecoglossicida and analysis on their potential binding proteins. Aquaculture Reports. 39. 102381–102381. 2 indexed citations
4.
Zhang, Chen, Junqiao Wang, Haowei Zhang, et al.. (2024). mRNA PROTACs: engineering PROTACs for high‐efficiency targeted protein degradation. SHILAP Revista de lepidopterología. 5(2). e478–e478. 5 indexed citations
5.
Su, Bin, Ying Tan, Lei Zhang, et al.. (2024). Prediction models for flammability limits of syngas/air mixtures based on machine learning approach. International Journal of Hydrogen Energy. 98. 1356–1365. 12 indexed citations
6.
Huang, Yuanfang, et al.. (2024). Raman spectroscopic deep learning with signal aggregated representations for enhanced cell phenotype and signature identification. PNAS Nexus. 3(8). pgae268–pgae268. 4 indexed citations
7.
Feng, Bingbing, Xinying Wang, Ding Qiu, et al.. (2024). DDX18 Facilitates the Tumorigenesis of Lung Adenocarcinoma by Promoting Cell Cycle Progression through the Upregulation of CDK4. International Journal of Molecular Sciences. 25(9). 4953–4953. 2 indexed citations
8.
Wang, Wenxiang, et al.. (2024). Swertiamarin and sweroside are potential inhibitors of COVID-19 based on the silico analysis. Medicine. 103(45). e40425–e40425. 1 indexed citations
9.
Zhang, Peng, Fang Cao, Jiqin Zhang, Ying Tan, & Shengtao Yao. (2023). Temozolomide and chloroquine co-loaded mesoporous silica nanoparticles are effective against glioma. Heliyon. 9(8). e18490–e18490. 15 indexed citations
10.
Sun, Yuanjie, Wei‐Tao Dou, Ying Tan, et al.. (2023). Rapid identification of molecular subtyping of breast cancer cell lines using a multi-channel sensor array. Sensors & Diagnostics. 2(4). 837–841. 4 indexed citations
11.
Dai, Xiaoqian, Ying Tan, Liqun Duan, et al.. (2023). Development of a novel ultra-high performance concrete (UHPC) suitable for underwater operation: Design and performance evaluation. Journal of Building Engineering. 75. 107030–107030. 22 indexed citations
12.
Huang, Yuanfang, Wan Xiang Shen, Ying Tan, et al.. (2022). Fluorescence Analysis of Circulating Exosomes for Breast Cancer Diagnosis Using a Sensor Array and Deep Learning. ACS Sensors. 7(5). 1524–1532. 61 indexed citations
13.
Li, Jiatong, et al.. (2021). Conjugated Polymer Nanoparticles Based on Copper Coordination for Real-Time Monitoring of pH-Responsive Drug Delivery. ACS Applied Bio Materials. 4(3). 2583–2590. 16 indexed citations
14.
Shen, Wan Xiang, Xian Zeng, Feng Zhu, et al.. (2021). Out-of-the-box deep learning prediction of pharmaceutical properties by broadly learned knowledge-based molecular representations. Nature Machine Intelligence. 3(4). 334–343. 101 indexed citations
15.
Li, Bifei, Jianhui Li, Wei Gan, Ying Tan, & Qunhui Yuan. (2021). Unveiling the Molecular Dynamics in a Living Cell to the Subcellular Organelle Level Using Second-Harmonic Generation Spectroscopy and Microscopy. Analytical Chemistry. 93(42). 14146–14152. 17 indexed citations
16.
Chen, Chong‐You, Ying Tan, Chang‐Ming Wang, et al.. (2020). Metal-Free Colorimetric Detection of Pyrophosphate Ions by Inhibitive Nanozymatic Carbon Dots. ACS Sensors. 5(5). 1314–1324. 65 indexed citations
17.
Tan, Ying, et al.. (2019). One-Step Construction of Fluorenone-Based Donor–Acceptor-Type Conjugated Polymers via Direct Arylation Polymerization for Cell-Imaging Applications. ACS Applied Materials & Interfaces. 11(31). 28246–28253. 20 indexed citations
18.
Zeng, Xian, Peng Zhang, Weidong He, et al.. (2017). NPASS: natural product activity and species source database for natural product research, discovery and tool development. Nucleic Acids Research. 46(D1). D1217–D1222. 162 indexed citations
19.
He, Shengnan, Yu Mao, Long Qu, et al.. (2017). The Optimization and Characterization of an RNA-Cleaving Fluorogenic DNAzyme Probe for MDA-MB-231 Cell Detection. Sensors. 17(3). 650–650. 6 indexed citations
20.
Wang, Yue‐Hu, Ying Tan, Hongxin Liu, et al.. (2012). Chemical constituents from Chirita longgangensis var. hongyao with inhibitory activity against porcine respiratory and reproductive syndrome virus. Journal of the Brazilian Chemical Society. 23(10). 1925–1932. 5 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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