Yuying Tan

4.5k total citations · 1 hit paper
95 papers, 3.2k citations indexed

About

Yuying Tan is a scholar working on Biotechnology, Genetics and Biomedical Engineering. According to data from OpenAlex, Yuying Tan has authored 95 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Biotechnology, 40 papers in Genetics and 29 papers in Biomedical Engineering. Recurrent topics in Yuying Tan's work include Cancer Research and Treatments (51 papers), Virus-based gene therapy research (39 papers) and Nanoplatforms for cancer theranostics (20 papers). Yuying Tan is often cited by papers focused on Cancer Research and Treatments (51 papers), Virus-based gene therapy research (39 papers) and Nanoplatforms for cancer theranostics (20 papers). Yuying Tan collaborates with scholars based in United States, Japan and China. Yuying Tan's co-authors include Robert M. Hoffman, Qinghong Han, Ji‐Xin Cheng, Shukuan Li, Mingxu Xu, Junjie Li, Michael Bouvet, Daniela Matei, Guangyuan Zhao and Kai‐Chih Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Yuying Tan

91 papers receiving 3.1k citations

Hit Papers

Metabolic reprogramming from glycolysis to fatty acid upt... 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Metabolic reprogramming from glycolysis to fatty acid uptake and beta-oxidation in platinum-resistant cancer cells
    2022 177 citations Yuying Tan, Junjie Li et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuying Tan United States 35 1.4k 1.1k 762 731 638 95 3.2k
Hans M. Rodermond Netherlands 23 335 0.2× 3.6k 3.3× 1.6k 2.0× 308 0.4× 818 1.3× 60 7.1k
Thies Schroeder United States 23 141 0.1× 2.2k 2.0× 2.2k 2.9× 266 0.4× 511 0.8× 44 3.9k
Anna Tesei Italy 30 108 0.1× 1.4k 1.3× 529 0.7× 132 0.2× 881 1.4× 110 3.6k
Helen M. Coley United Kingdom 34 237 0.2× 1.7k 1.6× 443 0.6× 175 0.2× 924 1.4× 78 3.9k
Joo Hyun Kang South Korea 31 304 0.2× 1.1k 1.0× 224 0.3× 299 0.4× 318 0.5× 124 2.6k
Deepak Nagrath United States 35 180 0.1× 3.2k 3.0× 2.1k 2.8× 114 0.2× 712 1.1× 70 5.2k
Long H. Dang United States 27 890 0.6× 1.5k 1.4× 663 0.9× 647 0.9× 623 1.0× 85 3.2k
Chris van Bree Netherlands 18 197 0.1× 2.3k 2.1× 793 1.0× 144 0.2× 696 1.1× 47 4.4k
Shawn E. Lupold United States 26 202 0.1× 2.6k 2.4× 1.1k 1.4× 280 0.4× 421 0.7× 58 3.9k
Gilbert O. Fruhwirth United Kingdom 31 91 0.1× 1.1k 1.0× 151 0.2× 349 0.5× 446 0.7× 79 2.7k

Countries citing papers authored by Yuying Tan

Since Specialization
Citations

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

Fields of papers citing papers by Yuying Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuying Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Yuying Tan. A scholar is included among the top collaborators of Yuying 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 Yuying Tan. Yuying 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.
Wang, Xiaobo, Yuying Tan, Min Chen, et al.. (2025). NIR-II organic fluorophores integrated with blood–brain barrier-penetrating strategies for brain disease theranostics. Coordination Chemistry Reviews. 551. 217466–217466.
2.
Lin, Haonan, Yuying Tan, Jean‐Baptiste Lugagne, et al.. (2025). Label-free nanoscopy of cell metabolism by ultrasensitive reweighted visible stimulated Raman scattering. Nature Methods. 22(5). 1040–1050. 8 indexed citations
3.
Deng, Yalan, Liqing Lu, Dandan Zhu, et al.. (2024). MafG/MYH9-LCN2 axis promotes liver fibrosis through inhibiting ferroptosis of hepatic stellate cells. Cell Death and Differentiation. 31(9). 1127–1139. 20 indexed citations
4.
Wang, Yinu, Horacio Cárdenas, Edward J. Tanner, et al.. (2024). Preclinical Evaluation of NTX-301, a Novel DNA Hypomethylating Agent in Ovarian Cancer. Clinical Cancer Research. 30(6). 1175–1188. 2 indexed citations
5.
Yin, Jiaze, Meng Zhang, Yuying Tan, et al.. (2023). Video-rate mid-infrared photothermal imaging by single-pulse photothermal detection per pixel. Science Advances. 9(24). eadg8814–eadg8814. 38 indexed citations
6.
Tan, Yuying, Junjie Li, Guangyuan Zhao, et al.. (2022). Metabolic reprogramming from glycolysis to fatty acid uptake and beta-oxidation in platinum-resistant cancer cells. Nature Communications. 13(1). 4554–4554. 177 indexed citations breakdown →
7.
Liang, Xujun, Jun Li, Ying Fu, et al.. (2022). A novel machine learning model based on sparse structure learning with adaptive graph regularization for predicting drug side effects. Journal of Biomedical Informatics. 132. 104131–104131. 11 indexed citations
8.
Yamamoto, Jun, Kentaro Miyake, Qinghong Han, et al.. (2020). Oral recombinant methioninase increases TRAIL receptor-2 expression to regress pancreatic cancer in combination with agonist tigatuzumab in an orthotopic mouse model. Cancer Letters. 492. 174–184. 32 indexed citations
9.
Wang, Yinu, Guangyuan Zhao, Salvatore Condello, et al.. (2020). Frizzled-7 Identifies Platinum-Tolerant Ovarian Cancer Cells Susceptible to Ferroptosis. Cancer Research. 81(2). 384–399. 175 indexed citations
10.
Igarashi, Kentaro, Kei Kawaguchi, Ming Zhao, et al.. (2020). Recombinant Methioninase Combined With Tumor-targeting Salmonella typhimurium A1-R Induced Regression in a PDOX Mouse Model of Doxorubicin-resistant Dedifferentiated Liposarcoma. Anticancer Research. 40(5). 2515–2523. 5 indexed citations
11.
Huang, Kai‐Chih, Junjie Li, Chi Zhang, Yuying Tan, & Ji‐Xin Cheng. (2020). Multiplex Stimulated Raman Scattering Imaging Cytometry Reveals Lipid-Rich Protrusions in Cancer Cells under Stress Condition. iScience. 23(3). 100953–100953. 75 indexed citations
12.
Higuchi, Takashi, Qinghong Han, Kentaro Miyake, et al.. (2019). Combination of oral recombinant methioninase and decitabine arrests a chemotherapy-resistant undifferentiated soft-tissue sarcoma patient-derived orthotopic xenograft mouse model. Biochemical and Biophysical Research Communications. 523(1). 135–139. 26 indexed citations
13.
Li, Junjie, Peng Lin, Yuying Tan, & Ji‐Xin Cheng. (2019). Volumetric stimulated Raman scattering imaging of cleared tissues towards three-dimensional chemical histopathology. Biomedical Optics Express. 10(8). 4329–4329. 31 indexed citations
14.
Higuchi, Takashi, Norihiko Sugisawa, Jun Yamamoto, et al.. (2019). The combination of oral-recombinant methioninase and azacitidine arrests a chemotherapy-resistant osteosarcoma patient-derived orthotopic xenograft mouse model. Cancer Chemotherapy and Pharmacology. 85(2). 285–291. 37 indexed citations
15.
16.
Hoffman, Robert M., Yuying Tan, Shukuan Li, et al.. (2019). Development of Recombinant Methioninase for Cancer Treatment. Methods in molecular biology. 1866. 107–131. 11 indexed citations
17.
18.
Kawaguchi, Kei, Kentaro Miyake, Qinghong Han, et al.. (2018). Oral recombinant methioninase (o-rMETase) is superior to injectable rMETase and overcomes acquired gemcitabine resistance in pancreatic cancer. Cancer Letters. 432. 251–259. 71 indexed citations
19.
Li, Shukuan, Zhijian Yang, Xinghua Sun, et al.. (2005). Sensitive assay of tumor S-adenosyl-methionine and S-adenosyl-homocysteine. Cancer Research. 65. 556–556. 2 indexed citations
20.
Miki, Kenji, Waddah B. Al‐Refaie, Min Xu, et al.. (2000). Methioninase gene therapy of human cancer cells is synergistic with recombinant methioninase treatment.. PubMed. 60(10). 2696–702. 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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