知名学者引用


        除了所发表论文的被引用频次、期刊质量能够彰显学者的学术影响力以外,被知名学者引用也是一项学术评价的重要指标。
        当前全球学者库认定的知名学者包括:诺贝尔奖、菲尔兹奖、图灵奖等奖项获得者,多个国家的院士,全球学者库“2023全球学者学术影响力排行版”入榜的前10万学者等。

Chen, Jie 上海交通大学被知名学者引用:301人次(黄金会员以上可以申请导出本人论文被全部知名学者引用的数据)

1. Pisano, Etta D. 美国 American College of Radiology 2008美国医学院院士 Discrimination of benign from malignant breast lesions in dense breasts with model-based analysis of..

2. 于金明 中国 山东第一医科大学 中国工程院院士 Predictive value of diffusion-weighted MR imaging in early response to chemoradiotherapy of esophage..

3. Schnall, Mitchell D. 美国 University of Pennsylvania School of Medicine 2012美国医学院院士 Utility of Diffusion-weighted Imaging to Decrease Unnecessary Biopsies Prompted by Breast MRI: A Tri..

4. 马骏 中国 中山大学 2023中国科学院院士 Prognostic value of the primary lesion apparent diffusion coefficient (ADC) in nasopharyngeal carcin..

5. Hylton,Nola,M. 美国 University of California, San Francisco 2022美国工程院院士 Multi-Site Clinical Evaluation of DW-MRI as a Treatment Response Metric for Breast Cancer Patients U..

6. Choyke, Peter L. 美国 National Cancer Institute 2020美国医学院院士 Multiparametric MRI in prostate cancer management

7. Hylton,Nola,M. 美国 University of California, San Francisco 2022美国工程院院士 Breast Magnetic Resonance Imaging for Monitoring Response to Therapy

8. Choyke, Peter L. 美国 National Cancer Institute 2020美国医学院院士 Functional and Molecular Imaging: Applications for Diagnosis and Staging of Localised Prostate Cance..

9. Ralph P,Mason 美国 University of Texas Southwestern Medical Center Current status of optoacoustic breast imaging and future trends in clinical application: is it ready..

10. Cynthia H,McCollough 美国 Mayo Clinic - Rochester Staging of breast cancer in the breast and regional lymph nodes using contrast-enhanced photon-count..

11. 梁萍 中国 解放军总医院 主任医师 Head-to-head comparison of perfluorobutane contrast-enhanced US and multiparametric MRI for breast c..

12. Nakajima, Atsushi 日本 Graduate School of Medicine Non-invasive imaging biomarkers for liver steatosis in non-alcoholic fatty liver disease: present an..

13. Yoshiharu,Ohno 日本 FUJITA Health University State of the Art MR Imaging for Lung Cancer TNM Stage Evaluation

14. Jani, Jacques C. 比利时 University of Hospital BRUGMANN Assessment of diffusion-weighted MRI in predicting response to neoadjuvant chemotherapy in breast ca..

15. Alexey,Surov 德国 Martin-Luther-University Halle-Wittenberg Apparent Diffusion Coefficient Can Predict Therapy Response of Hepatocellular Carcinoma to Transcath..

16. Young Nyun,Park 韩国 Yonsei University MRI features of histologic subtypes of hepatocellular carcinoma: correlation with histologic, geneti..

17. Henkes, Hans 德国 University of Duisburg-Essen Diffusion Weighted Imaging in Gliomas: A Histogram-Based Approach for Tumor Characterization

18. Kerin, Michael J. 爱尔兰 National University Ireland Preoperative Breast Magnetic Resonance Imaging as a Predictor of Response to Neoadjuvant Chemotherap..

19. Jani, Jacques C. 比利时 University of Hospital BRUGMANN Value of diffusion-weighted MRI in predicting early response to neoadjuvant chemotherapy of breast c..

20. Yoshiharu,Ohno 日本 FUJITA Health University Magnetic resonance imaging for lung cancer: a state-of-the-art review

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