Xi Wei

3.5k total citations
124 papers, 1.9k citations indexed

About

Xi Wei is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xi Wei has authored 124 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Endocrinology, Diabetes and Metabolism, 34 papers in Molecular Biology and 31 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xi Wei's work include Thyroid Cancer Diagnosis and Treatment (36 papers), Radiomics and Machine Learning in Medical Imaging (22 papers) and AI in cancer detection (15 papers). Xi Wei is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (36 papers), Radiomics and Machine Learning in Medical Imaging (22 papers) and AI in cancer detection (15 papers). Xi Wei collaborates with scholars based in China, United States and Nepal. Xi Wei's co-authors include Sheng Zhang, Ming Gao, Ming Gao, Ying Li, Jialin Zhu, Irva Hertz‐Picciotto, Jun Zhang, Xinrong Lu, Lihong Qi and Xin Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, ACS Nano and Biomaterials.

In The Last Decade

Xi Wei

117 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xi Wei China 27 582 451 383 309 277 124 1.9k
Fang Zhou China 24 590 1.0× 345 0.8× 151 0.4× 343 1.1× 415 1.5× 191 2.0k
Guoliang Wang China 23 748 1.3× 157 0.3× 163 0.4× 353 1.1× 226 0.8× 149 2.0k
Bert van der Vegt Netherlands 31 800 1.4× 127 0.3× 520 1.4× 1.1k 3.7× 630 2.3× 170 3.4k
Ji Hyun Park South Korea 25 795 1.4× 184 0.4× 76 0.2× 295 1.0× 233 0.8× 116 2.1k
David Holmes United States 23 905 1.6× 71 0.2× 104 0.3× 281 0.9× 214 0.8× 150 2.1k
Minoru Miyashita Japan 26 413 0.7× 71 0.2× 379 1.0× 847 2.7× 175 0.6× 143 2.3k
Rajeev Gupta United Kingdom 23 996 1.7× 240 0.5× 92 0.2× 242 0.8× 155 0.6× 87 2.2k
Yiping Lu China 18 451 0.8× 72 0.2× 318 0.8× 119 0.4× 171 0.6× 76 1.7k

Countries citing papers authored by Xi Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xi Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xi Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Xi Wei. A scholar is included among the top collaborators of Xi Wei 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 Xi Wei. Xi Wei 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.
Guo, Shuyue, Yao Wang, Jialin Zhu, et al.. (2025). DCR2-targeted ultrasound nanobubbles loaded with verteporfin promote M2 macrophage polarization to overcome doxorubicin resistance in breast cancer. Chemical Engineering Journal. 505. 159277–159277. 1 indexed citations
2.
Li, Bingjie, Shuyue Guo, Molin Li, et al.. (2025). Nonmetallic magnetic hyperthermia and chemo-immunotherapy of tumors. Materials Today Bio. 32. 101910–101910. 1 indexed citations
3.
Mao, Yiran, et al.. (2024). Evaluation of image-pro plus assisted superb microvascular imaging for differential diagnosis of renal masses. Urologic Oncology Seminars and Original Investigations. 42(9). 292.e9–292.e16. 1 indexed citations
4.
Wei, Xi, et al.. (2024). Metabolic syndrome and the risk of psoriasis: a population-based cross-sectional study and Mendelian randomization analysis. European Journal of Dermatology. 34(6). 632–639. 1 indexed citations
5.
Yang, Fan, Dai Zhang, Lihui Zhao, et al.. (2024). Prediction of clear cell renal cell carcinoma ≤ 4cm: visual assessment of ultrasound characteristics versus ultrasonographic radiomics analysis. Frontiers in Oncology. 14. 1298710–1298710. 1 indexed citations
6.
Guo, Tiantian, Yao Wang, Shuyue Guo, et al.. (2024). Dual-Drug Loaded Nanobubbles Combined with Sonodynamic and Chemotherapy for Hepatocellular Carcinoma Therapy. International Journal of Nanomedicine. Volume 19. 7367–7381. 7 indexed citations
7.
Liu, Ying, Rui Tang, Yuting Cao, et al.. (2024). LIFU/MMP-2 dual-responsive release of repurposed drug disulfiram from nanodroplets for inhibiting vasculogenic mimicry and lung metastasis in triple-negative breast cancer. Journal of Nanobiotechnology. 22(1). 209–209. 1 indexed citations
8.
9.
Chen, Xiaoyu, Ying Li, Zhiwei Zhou, et al.. (2023). Dynamic ultrasound molecular‐targeted imaging of senescence in evaluation of lapatinib resistance in HER2‐positive breast cancer. Cancer Medicine. 12(19). 19904–19920. 6 indexed citations
10.
Liu, Jianpeng, et al.. (2023). Nomogram predicting overall prognosis for invasive micropapillary carcinoma of the breast: a SEER-based population study. BMJ Open. 13(8). e072632–e072632. 6 indexed citations
11.
Li, Chunxiang, Jinghan Li, Lisha Qi, et al.. (2022). An Ultrasonic-Based Radiomics Nomogram for Distinguishing Between Benign and Malignant Solid Renal Masses. Frontiers in Oncology. 12. 847805–847805. 4 indexed citations
12.
Wei, Xi, et al.. (2021). [Related environmental factors of refractive parameters in children and adolescents aged 6-14].. 55(4). 453–459. 1 indexed citations
13.
Zhao, Jing, Fan Yang, Xi Wei, et al.. (2020). Ultrasound features value in the diagnosis and prognosis of medullary thyroid carcinoma. Endocrine. 72(3). 727–734. 10 indexed citations
14.
15.
Ye, Sheng, Shengxin Liu, Wenlei Li, et al.. (2019). Associations between anthropometric indicators and both refraction and ocular biometrics in a cross-sectional study of Chinese schoolchildren. BMJ Open. 9(5). e027212–e027212. 18 indexed citations
16.
Chen, Peng, Ming Gao, Jingtai Zhi, et al.. (2019). Risk factors for cervical lymph node metastasis in papillary thyroid microcarcinoma: a study of 1,587 patients. Cancer Biology and Medicine. 16(1). 121–121. 65 indexed citations
17.
Liang, Yijun, Hui Yu, Linlin Zhuang, et al.. (2017). High-Performance Poly(lactic-co-glycolic acid)-Magnetic Microspheres Prepared by Rotating Membrane Emulsification for Transcatheter Arterial Embolization and Magnetic Ablation in VX2 Liver Tumors. ACS Applied Materials & Interfaces. 9(50). 43478–43489. 52 indexed citations
18.
Wei, Xi, Wei Duan, Ying Li, et al.. (2016). AT101 exerts a synergetic efficacy in gastric cancer patients with 5-FU based treatment through promoting apoptosis and autophagy. Oncotarget. 7(23). 34430–34441. 24 indexed citations
19.
Li, Ying, Sheng Zhang, Xi Wei, & Jin Zhang. (2015). The clinical features and management of women with ductal carcinoma in situ with microinvasion: A retrospective Cohort study. International Journal of Surgery. 19. 91–94. 16 indexed citations
20.
Lü, Yanyu, Jun Zhang, Xinrong Lu, Xi Wei, & Zhu Li. (2011). Secular trends of macrosomia in southeast China, 1994-2005. BMC Public Health. 11(1). 818–818. 67 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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