Xu Tan

3.0k total citations
48 papers, 2.0k citations indexed

About

Xu Tan is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Xu Tan has authored 48 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 12 papers in Pulmonary and Respiratory Medicine and 10 papers in Molecular Biology. Recurrent topics in Xu Tan's work include Nanoplatforms for cancer theranostics (20 papers), Photodynamic Therapy Research Studies (7 papers) and Cancer Research and Treatments (5 papers). Xu Tan is often cited by papers focused on Nanoplatforms for cancer theranostics (20 papers), Photodynamic Therapy Research Studies (7 papers) and Cancer Research and Treatments (5 papers). Xu Tan collaborates with scholars based in China, United States and Argentina. Xu Tan's co-authors include Chunmeng Shi, Shenglin Luo, Yongping Su, Tianmin Cheng, Tao Liu, Erlong Zhang, Yu Wang, Dechun Wang, Sheng‐Tao Fang and Qingrong Qi and has published in prestigious journals such as Advanced Materials, Journal of Clinical Oncology and Biomaterials.

In The Last Decade

Xu Tan

47 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xu Tan China 19 1.4k 618 579 530 306 48 2.0k
Erlong Zhang China 17 1.1k 0.8× 675 1.1× 442 0.8× 651 1.2× 288 0.9× 37 2.2k
Linping Zhao China 21 1.3k 0.9× 468 0.8× 441 0.8× 591 1.1× 374 1.2× 49 1.7k
Subin Son South Korea 18 1.9k 1.4× 1.2k 1.9× 446 0.8× 719 1.4× 382 1.2× 25 2.7k
Yunjie Xu China 20 1.5k 1.1× 970 1.6× 593 1.0× 641 1.2× 184 0.6× 37 2.2k
Guanjun Deng China 20 1.4k 1.0× 498 0.8× 264 0.5× 603 1.1× 420 1.4× 34 1.8k
Haibin Shi China 25 1.3k 1.0× 657 1.1× 237 0.4× 758 1.4× 384 1.3× 76 2.2k
Hao Cheng China 18 1.2k 0.8× 579 0.9× 430 0.7× 531 1.0× 491 1.6× 46 1.9k
Gürcan Günaydın Türkiye 15 998 0.7× 571 0.9× 730 1.3× 375 0.7× 108 0.4× 27 1.7k
Shenglin Luo China 26 2.4k 1.7× 1.4k 2.2× 847 1.5× 810 1.5× 534 1.7× 56 3.4k
Zhan Zhang Macao 21 1.8k 1.3× 690 1.1× 420 0.7× 783 1.5× 544 1.8× 38 2.7k

Countries citing papers authored by Xu Tan

Since Specialization
Citations

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

Fields of papers citing papers by Xu Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xu Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Xu Tan. A scholar is included among the top collaborators of Xu 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 Xu Tan. Xu 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, Xiaoqi, Xu Tan, Yingying Ma, et al.. (2025). Safety and efficacy of CD33-targeted CAR-NK cell therapy for relapsed/refractory AML: preclinical evaluation and phase I trial. Experimental Hematology and Oncology. 14(1). 1–1. 17 indexed citations
2.
Long, Lei, Feng Wu, Huijuan Li, et al.. (2024). Phosphonated Heptamethine Dye Alleviates Radiation‐Induced Bone Loss. Advanced Therapeutics. 7(5). 2 indexed citations
3.
Yang, Wei, Zelin Chen, Can Zhang, et al.. (2024). IR-780 Dye-based Targeting of Cancer-associated Fibroblasts ImprovesCancer Immunotherapy by Increasing Intra-tumoral T LymphocytesInfiltration. Current Cancer Drug Targets. 24(6). 642–653. 2 indexed citations
4.
Tan, Xu, Yu Wang, Lei Long, et al.. (2024). A theranostic photosensitizer-conjugated albumin co-loading with resiquimod for cancer-targeted imaging and robust photo-immunotherapy. Pharmacological Research. 210. 107489–107489. 3 indexed citations
5.
Zhang, Cheng, Xu Tan, Jieping Li, et al.. (2023). Efficacy and toxicity of CLAG combined with pegylated liposomal doxorubicin in the treatment of refractory or relapsed acute myeloid leukemia. Cancer Medicine. 12(11). 12377–12387. 4 indexed citations
6.
7.
8.
Chen, Zelin, Jianhua Chen, Jianhua Chen, et al.. (2023). Collagen biomaterials promote the regenerative repair of abdominal wall defects in Bama miniature pigs. Biomaterials Science. 11(24). 7926–7937. 6 indexed citations
9.
Long, Lei, et al.. (2021). Effects of Human Serum Albumin on the Fluorescence Intensity and Tumor Imaging Properties of IR‐780 Dye. Photochemistry and Photobiology. 98(4). 935–944. 7 indexed citations
10.
Chen, Zelin, Xu Tan, Can Zhang, et al.. (2021). ID1/ID3 Mediate the Contribution of Skin Fibroblasts to Local Nerve Regeneration Through Itga6 in Wound Repair. Stem Cells Translational Medicine. 10(12). 1637–1649. 16 indexed citations
11.
Stefano, Giuseppina Di, Ghulam Shere Raza, Brigitte Riederer, et al.. (2021). Hydrokinetic pancreatic function and insulin secretion are moduled by Cl− uniporter Slc26a9 in mice. Acta Physiologica. 234(1). e13729–e13729. 8 indexed citations
12.
Zhang, Chi, Tao Liu, Peng Luo, et al.. (2021). Near-infrared oxidative phosphorylation inhibitor integrates acute myeloid leukemia–targeted imaging and therapy. Science Advances. 7(1). 24 indexed citations
13.
Wang, Haining, et al.. (2021). Long Noncoding RNA SOX2-OT Aggravates Doxorubicin-Induced Apoptosis of Cardiomyocyte by Targeting miR-942-5p/DP5. Drug Design Development and Therapy. Volume 15. 481–492. 17 indexed citations
14.
Luo, Peng, Xu Tan, Shenglin Luo, et al.. (2019). An NIR‐Fluorophore‐Based Inhibitor of SOD1 Induces Apoptosis by Targeting Transcription Cofactor PC4. Advanced Therapeutics. 2(5).
15.
Luo, Peng, Qingzhi Jiang, Qiang Fang, et al.. (2019). The human positive cofactor 4 promotes androgen-independent prostate cancer development and progression through HIF-1α/β-catenin pathway.. PubMed Central. 9(4). 682–698. 6 indexed citations
16.
Wang, Yang, Shenglin Luo, Chi Zhang, et al.. (2018). An NIR‐Fluorophore‐Based Therapeutic Endoplasmic Reticulum Stress Inducer. Advanced Materials. 30(33). e1800475–e1800475. 42 indexed citations
17.
Wang, Yang, Xingyun Liao, Jianguo Sun, et al.. (2018). Characterization of HIF‐1α/Glycolysis Hyperactive Cell Population via Small‐Molecule‐Based Imaging of Mitochondrial Transporter Activity. Advanced Science. 5(3). 1700392–1700392. 28 indexed citations
18.
Tan, Xu, Shenglin Luo, Lei Long, et al.. (2017). Structure‐Guided Design and Synthesis of a Mitochondria‐Targeting Near‐Infrared Fluorophore with Multimodal Therapeutic Activities. Advanced Materials. 29(43). 195 indexed citations
19.
Zhang, Erlong, Shenglin Luo, Xu Tan, & Chunmeng Shi. (2013). Mechanistic study of IR-780 dye as a potential tumor targeting and drug delivery agent. Biomaterials. 35(2). 771–778. 198 indexed citations
20.
Luo, Shenglin, Xu Tan, Qingrong Qi, et al.. (2012). A multifunctional heptamethine near-infrared dye for cancer theranosis. Biomaterials. 34(9). 2244–2251. 86 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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