Mingyu Tan

506 total citations
18 papers, 334 citations indexed

About

Mingyu Tan is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Mingyu Tan has authored 18 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 10 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Surgery. Recurrent topics in Mingyu Tan's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Lung Cancer Diagnosis and Treatment (6 papers) and Head and Neck Cancer Studies (3 papers). Mingyu Tan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Lung Cancer Diagnosis and Treatment (6 papers) and Head and Neck Cancer Studies (3 papers). Mingyu Tan collaborates with scholars based in China, Germany and United States. Mingyu Tan's co-authors include Ming Li, Weiling Ma, Yingli Sun, Liang Jin, Pan Gao, Kaiming Kuang, Cheng Li, Wei Zhao, Pan Gao and Shaofeng Duan and has published in prestigious journals such as Scientific Reports, BJOG An International Journal of Obstetrics & Gynaecology and European Radiology.

In The Last Decade

Mingyu Tan

17 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
Mingyu Tan China 7 238 175 95 72 37 18 334
Rachel McCarroll United States 10 339 1.4× 138 0.8× 101 1.1× 47 0.7× 62 1.7× 19 475
Ismail Kabakus United States 13 452 1.9× 416 2.4× 146 1.5× 60 0.8× 48 1.3× 45 678
Sylvain Bodard France 12 196 0.8× 156 0.9× 163 1.7× 48 0.7× 23 0.6× 55 403
Yannik Leonhardt Germany 10 151 0.6× 58 0.3× 88 0.9× 77 1.1× 27 0.7× 23 289
Velio Ascenti Italy 8 131 0.6× 72 0.4× 81 0.9× 32 0.4× 26 0.7× 35 227
Yingqian Ge China 12 274 1.2× 137 0.8× 119 1.3× 32 0.4× 21 0.6× 22 330
Einar Dale Norway 12 249 1.0× 197 1.1× 46 0.5× 102 1.4× 18 0.5× 27 457
Benjamin Rosen United States 11 220 0.9× 138 0.8× 54 0.6× 36 0.5× 20 0.5× 32 344
Yura Ahn South Korea 10 163 0.7× 107 0.6× 35 0.4× 47 0.7× 27 0.7× 51 353
Kenta Ninomiya Japan 9 216 0.9× 115 0.7× 58 0.6× 23 0.3× 66 1.8× 29 283

Countries citing papers authored by Mingyu Tan

Since Specialization
Citations

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

Fields of papers citing papers by Mingyu Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyu Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyu Tan. A scholar is included among the top collaborators of Mingyu 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 Mingyu Tan. Mingyu Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Wang, Dandan, et al.. (2025). STAT1 increases the sensitivity of lung adenocarcinoma to carbon ion irradiation via HO-1-mediated ferroptosis. Molecular and Cellular Biochemistry. 480(7). 4265–4281.
2.
Wu, Xun, Junru Chen, Hongtao Luo, et al.. (2024). Pan-cancer analysis of NADPH oxidase 4 identifying its prognostic and immunotherapy predictive value and in vitro experimental verification in glioblastoma. International Immunopharmacology. 146. 113815–113815. 1 indexed citations
3.
4.
Zhang, Qiuning, Xiaohu Wang, Hongtao Luo, et al.. (2024). TGM2-Mediated Autophagy Contributes to the Radio-Resistance of Non-Small Cell Lung Cancer Stem-like Cells. Biomedicines. 12(10). 2231–2231. 1 indexed citations
5.
Wu, Xin, Hongtao Luo, Qian Wang, et al.. (2024). Examining the Occurrence of the FLASH Effect in Animal Models: A Systematic Review and Meta-Analysis of Ultra-High Dose Rate Proton or Carbon Ion Irradiation. Technology in Cancer Research & Treatment. 23. 2234031878–2234031878. 1 indexed citations
6.
Tan, Mingyu, Qian Wang, Xun Wu, et al.. (2024). Assessing the Impact of Charged Particle Radiation Therapy for Head and Neck Adenoid Cystic Carcinoma: A Systematic Review and Meta-Analysis. Technology in Cancer Research & Treatment. 23. 2233988541–2233988541. 2 indexed citations
7.
Luo, Hongtao, Mingyu Tan, Xun Wu, et al.. (2023). Efficacy and safety of particle therapy for inoperable stage II-III non-small cell lung cancer: a systematic review and meta-analysis. Radiation Oncology. 18(1). 86–86. 6 indexed citations
8.
Wang, Qian, Ruifeng Liu, Qiuning Zhang, et al.. (2023). Biological effects of cancer stem cells irradiated by charged particle: a systematic review of in vitro studies. Journal of Cancer Research and Clinical Oncology. 149(9). 6625–6638. 4 indexed citations
9.
Huang, Xuemei, Yingli Sun, Mingyu Tan, et al.. (2022). Three-Dimensional Convolutional Neural Network-Based Prediction of Epidermal Growth Factor Receptor Expression Status in Patients With Non-Small Cell Lung Cancer. Frontiers in Oncology. 12. 772770–772770. 18 indexed citations
10.
Wang, Shubin, Wenjing Ye, Mingyu Tan, et al.. (2022). The Prognostic Value of Tumor Size, Volume and Tumor Volume Reduction Rate During Concurrent Chemoradiotherapy in Patients With Cervical Cancer. Frontiers in Oncology. 12. 934110–934110. 13 indexed citations
11.
Liu, Ruifeng, Qiuning Zhang, Hongtao Luo, et al.. (2022). Does particle radiation have superior radiobiological advantages for prostate cancer cells? A systematic review of in vitro studies. European journal of medical research. 27(1). 306–306. 4 indexed citations
12.
Lu, Shun, Shubin Wang, Robert Y. Kim, et al.. (2022). Clinical outcomes of conventional HDR intracavitary brachytherapy combined with complementary applicator‐guided intensity modulated radiotherapy boost in patients with bulky cervical tumour. BJOG An International Journal of Obstetrics & Gynaecology. 130(2). 231–237. 2 indexed citations
13.
Tan, Mingyu, Weiling Ma, Yingli Sun, et al.. (2021). Prediction of the Growth Rate of Early-Stage Lung Adenocarcinoma by Radiomics. Frontiers in Oncology. 11. 658138–658138. 15 indexed citations
14.
Li, Ming, Xiaojun Ge, Jiaofeng Wang, et al.. (2021). Radiomics signature on CECT as a predictive factor for invasiveness of lung adenocarcinoma manifesting as subcentimeter ground glass nodules. Scientific Reports. 11(1). 3633–3633. 12 indexed citations
15.
Hua, Yanqing, Hao Wu, Mingyu Tan, et al.. (2021). A Computed Tomography-Derived Radiomics Approach for Predicting Uncommon EGFR Mutation in Patients With NSCLC. Frontiers in Oncology. 11. 722106–722106. 4 indexed citations
16.
Zhao, Wei, Yuzhi Wu, Yanan Xu, et al.. (2020). The Potential of Radiomics Nomogram in Non-invasively Prediction of Epidermal Growth Factor Receptor Mutation Status and Subtypes in Lung Adenocarcinoma. Frontiers in Oncology. 9. 1485–1485. 38 indexed citations
17.
Jin, Liang, Jiancheng Yang, Kaiming Kuang, et al.. (2020). Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet. EBioMedicine. 62. 103106–103106. 113 indexed citations
18.
Sun, Yingli, Cheng Li, Liang Jin, et al.. (2020). Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction. European Radiology. 30(7). 3650–3659. 98 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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