Yujie Tan

1.2k total citations
38 papers, 335 citations indexed

About

Yujie Tan is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yujie Tan has authored 38 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Oncology and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yujie Tan's work include Radiomics and Machine Learning in Medical Imaging (9 papers), MRI in cancer diagnosis (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Yujie Tan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), MRI in cancer diagnosis (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Yujie Tan collaborates with scholars based in China, Hong Kong and Macao. Yujie Tan's co-authors include Herui Yao, Yunfang Yu, Wei Ren, Wei Guo, Qingjian Li, Huanhuan Yin, Ruili Li, Huangming Hong, Ning Xie and Chenchen Li and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Chemical Communications.

In The Last Decade

Yujie Tan

34 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yujie Tan China 10 128 115 81 66 62 38 335
Nikoletta Sidiropoulos United States 8 76 0.6× 135 1.2× 163 2.0× 29 0.4× 114 1.8× 21 336
Olga Oikonomidou United Kingdom 9 102 0.8× 119 1.0× 149 1.8× 30 0.5× 66 1.1× 28 320
Suizhi Gao China 9 77 0.6× 122 1.1× 269 3.3× 86 1.3× 96 1.5× 27 339
Roberto Piciotti Italy 9 86 0.7× 76 0.7× 128 1.6× 29 0.4× 50 0.8× 15 317
Xuening Duan China 13 115 0.9× 272 2.4× 249 3.1× 49 0.7× 61 1.0× 48 463
Yun Wu China 12 76 0.6× 134 1.2× 98 1.2× 28 0.4× 117 1.9× 34 390
Remco de Bree Netherlands 8 126 1.0× 97 0.8× 214 2.6× 48 0.7× 99 1.6× 14 563
Yiran Wang China 9 67 0.5× 39 0.3× 56 0.7× 46 0.7× 30 0.5× 40 250
Laura Matteucci Italy 6 69 0.5× 78 0.7× 141 1.7× 21 0.3× 38 0.6× 15 272

Countries citing papers authored by Yujie Tan

Since Specialization
Citations

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

Fields of papers citing papers by Yujie Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujie Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Yujie Tan. A scholar is included among the top collaborators of Yujie 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 Yujie Tan. Yujie 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
4.
Chen, Xiuying, et al.. (2024). TET1 inhibits the migration and invasion of cervical cancer cells by regulating autophagy. Epigenetics. 19(1). 2323751–2323751. 6 indexed citations
5.
Tan, Yujie & Yunfang Yu. (2024). CAPability‐01: Success of anti‐PD‐1, HDAC inhibitor, and anti‐VEGF combination in colorectal cancer. SHILAP Revista de lepidopterología. 3(3). 1 indexed citations
6.
Zhang, Fan, Qi Zheng, Yujie Tan, et al.. (2024). Synthesis of amyloid fibrils-PEI hybrid membrane for efficient removal of 99mTc from medical wastewater. Separation and Purification Technology. 359. 130617–130617. 4 indexed citations
7.
Chen, Xiuying, et al.. (2023). Inhibition of p62 and/or NFE2L2 induced autophagy impaires esophageal squamous cell cancer metastasis by reversing EMT. Gene. 858. 147194–147194. 7 indexed citations
8.
Chen, Xiaowei, et al.. (2023). The pan-cancer analysis identified DIAPH3 as a diagnostic biomarker of clinical cancer. Aging. 15(3). 689–704. 3 indexed citations
11.
Zhao, Jianli, Zhixian Sun, Yunfang Yu, et al.. (2023). Radiomic and clinical data integration using machine learning predict the efficacy of anti-PD-1 antibodies-based combinational treatment in advanced breast cancer: a multicentered study. Journal for ImmunoTherapy of Cancer. 11(5). e006514–e006514. 22 indexed citations
14.
Zhu, Xiaoyu, Di Cheng, Wei Wang, et al.. (2021). Upregulation of Translationally Controlled Tumor Protein Is Associated With Cervical Cancer Progression. Frontiers in Molecular Biosciences. 8. 686718–686718. 3 indexed citations
15.
Yang, Yaping, Junwei Li, Yajing Liu, et al.. (2021). Magnetic resonance imaging radiomics signatures for predicting endocrine resistance in hormone receptor-positive non-metastatic breast cancer. The Breast. 60. 90–97. 4 indexed citations
16.
Yin, Huanhuan, et al.. (2020). TILs and Anti‐PD1 Therapy: An Alternative Combination Therapy for PDL1 Negative Metastatic Cervical Cancer. Journal of Immunology Research. 2020(1). 8345235–8345235. 34 indexed citations
17.
Bi, Zhuofei, Qingjian Li, Xiao-Xiao Dinglin, et al.. (2020). Nanoparticles (NPs)‐Meditated LncRNA AFAP1‐AS1 Silencing to Block Wnt/β‐Catenin Signaling Pathway for Synergistic Reversal of Radioresistance and Effective Cancer Radiotherapy. Advanced Science. 7(18). 2000915–2000915. 73 indexed citations
18.

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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