Yao Ding

2.2k total citations
57 papers, 1.1k citations indexed

About

Yao Ding is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Otorhinolaryngology. According to data from OpenAlex, Yao Ding has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Radiation and 12 papers in Otorhinolaryngology. Recurrent topics in Yao Ding's work include Advanced MRI Techniques and Applications (26 papers), MRI in cancer diagnosis (18 papers) and Radiomics and Machine Learning in Medical Imaging (15 papers). Yao Ding is often cited by papers focused on Advanced MRI Techniques and Applications (26 papers), MRI in cancer diagnosis (18 papers) and Radiomics and Machine Learning in Medical Imaging (15 papers). Yao Ding collaborates with scholars based in United States, Egypt and Finland. Yao Ding's co-authors include Jihong Wang, Clifton D. Fuller, Kazuko Handa, Sen‐itiroh Hakomori, Abdallah Mohamed, Jinzhong Yang, Joseph Weygand, Stephen Y. Lai, Ken‐Pin Hwang and Yuh‐Jin Liang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Yao Ding

53 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yao Ding United States	20	658	264	229	170	131	57	1.1k
Stefan Welz Germany	20	635 1.0×	178 0.7×	205 0.9×	353 2.1×	113 0.9×	37	1.1k
Shangde Cai United States	17	605 0.9×	376 1.4×	91 0.4×	281 1.7×	241 1.8×	23	1.4k
Karen Wong Australia	17	534 0.8×	522 2.0×	312 1.4×	286 1.7×	65 0.5×	61	1.6k
Barbara Lewellen United States	11	664 1.0×	148 0.6×	99 0.4×	199 1.2×	59 0.5×	14	923
Jarmo Kulmala Finland	18	295 0.4×	343 1.3×	123 0.5×	320 1.9×	57 0.4×	51	1.0k
V. Grégoire Belgium	21	352 0.5×	171 0.6×	275 1.2×	378 2.2×	89 0.7×	51	1.1k
Albert van der Kogel Netherlands	15	604 0.9×	386 1.5×	310 1.4×	496 2.9×	168 1.3×	27	1.5k
Farhad Daghighian United States	20	909 1.4×	261 1.0×	293 1.3×	303 1.8×	182 1.4×	35	1.4k
Jinkoo Kim United States	22	638 1.0×	140 0.5×	825 3.6×	512 3.0×	279 2.1×	42	1.4k
Christopher Scarfone United States	11	519 0.8×	109 0.4×	351 1.5×	336 2.0×	144 1.1×	12	790

Countries citing papers authored by Yao Ding

Since Specialization

Citations

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

Fields of papers citing papers by Yao Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Ding

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

All Works

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20 of 20 papers shown

Leary, Owen P., Mattia D. Pizzagalli, Steven A. Toms, et al.. (2024). Tumor-Associated Tractography Derived from High-Angular-Resolution Q-Space MRI May Predict Patterns of Cellular Invasion in Glioblastoma. Cancers. 16(21). 3669–3669.

Chen, Xinru, Yao Zhao, Laurence E. Court, et al.. (2024). SC-GAN: Structure-completion generative adversarial network for synthetic CT generation from MR images with truncated anatomy. Computerized Medical Imaging and Graphics. 113. 102353–102353. 6 indexed citations

Zheng, Caishang, Yanjun Wei, Peng Zhang, et al.. (2023). CRISPR/Cas9 screen uncovers functional translation of cryptic lncRNA-encoded open reading frames in human cancer. Journal of Clinical Investigation. 133(5). 25 indexed citations

Mohamed, Abdallah, Renjie He, Kareem A. Wahid, et al.. (2023). Dynamic Contrast Enhanced MRI as a Biomarker of Tumor Response and Oncologic Outcomes in Head and Neck Cancer: Results of a Single Institution Prospective Imaging Study. International Journal of Radiation Oncology*Biology*Physics. 117(2). e677–e678. 1 indexed citations

Mohamed, Abdallah, Renjie He, Kareem A. Wahid, et al.. (2023). Prospective validation of diffusion-weighted MRI as a biomarker of tumor response and oncologic outcomes in head and neck cancer: Results from an observational biomarker pre-qualification study. Radiotherapy and Oncology. 183. 109641–109641. 13 indexed citations

Gao, Yuchen, et al.. (2022). Machine learning algorithms to predict major bleeding after isolated coronary artery bypass grafting. Frontiers in Cardiovascular Medicine. 9. 881881–881881. 9 indexed citations

Liu, Xia, Jingjing Yu, Longyong Xu, et al.. (2021). Notch-induced endoplasmic reticulum-associated degradation governs mouse thymocyte β−selection. eLife. 10. 22 indexed citations

Wahid, Kareem A., Renjie He, Brigid A. McDonald, et al.. (2021). Intensity standardization methods in magnetic resonance imaging of head and neck cancer. Physics and Imaging in Radiation Oncology. 20. 88–93. 22 indexed citations

Wang, Jihong, Travis C. Salzillo, Yongying Jiang, et al.. (2021). Stability of MRI contrast agents in high-energy radiation of a 1.5T MR-Linac. Radiotherapy and Oncology. 161. 55–64. 12 indexed citations

10.

Ding, Yao, Zhifei Wen, Clifton D. Fuller, et al.. (2020). A modular phantom and software to characterize 3D geometric distortion in MRI. Physics in Medicine and Biology. 65(19). 195008–195008. 10 indexed citations

11.

Lv, Xiangdong, Lacey E. Dobrolecki, Yao Ding, et al.. (2020). Orthotopic Transplantation of Breast Tumors as Preclinical Models for Breast Cancer. Journal of Visualized Experiments. 5 indexed citations

12.

Yang, Jinzhong, Abdallah Mohamed, Houda Bahig, et al.. (2020). Automatic registration of 2D MR cine images for swallowing motion estimation. PLoS ONE. 15(2). e0228652–e0228652. 3 indexed citations

13.

Cazoulat, Guillaume, Alexander C. Ford, Baher Elgohari, et al.. (2020). Biomechanical modeling of radiation dose-induced volumetric changes of the parotid glands for deformable image registration. Physics in Medicine and Biology. 65(16). 165017–165017. 4 indexed citations

14.

Zhu, Yitan, Abdallah Mohamed, Stephen Y. Lai, et al.. (2019). Imaging-Genomic Study of Head and Neck Squamous Cell Carcinoma: Associations Between Radiomic Phenotypes and Genomic Mechanisms via Integration of The Cancer Genome Atlas and The Cancer Imaging Archive. JCO Clinical Cancer Informatics. 3(3). 1–9. 39 indexed citations

15.

Wang, Jihong, Joseph Weygand, Ken‐Pin Hwang, et al.. (2016). Magnetic Resonance Imaging of Glucose Uptake and Metabolism in Patients with Head and Neck Cancer. Scientific Reports. 6(1). 30618–30618. 69 indexed citations

16.

Messer, J.A., Abdallah Mohamed, Katherine A. Hutcheson, et al.. (2016). Magnetic resonance imaging of swallowing-related structures in nasopharyngeal carcinoma patients receiving IMRT: Longitudinal dose–response characterization of quantitative signal kinetics. Radiotherapy and Oncology. 118(2). 315–322. 19 indexed citations

17.

Ding, Yao, Ralph P. Mason, Roderick McColl, et al.. (2013). Simultaneous measurement of tissue oxygen level‐dependent (TOLD) and blood oxygenation level‐dependent (BOLD) effects in abdominal tissue oxygenation level studies. Journal of Magnetic Resonance Imaging. 38(5). 1230–1236. 25 indexed citations

18.

Hallac, Rami R., Yao Ding, Qing Yuan, et al.. (2012). Oxygenation in cervical cancer and normal uterine cervix assessed using blood oxygenation level‐dependent (BOLD) MRI at 3T. NMR in Biomedicine. 25(12). 1321–1330. 53 indexed citations

19.

Ding, Yao, et al.. (2012). Induction of epithelial‐mesenchymal transition with O‐glycosylated oncofetal fibronectin. FEBS Letters. 586(13). 1813–1820. 34 indexed citations

20.

Peng, Qi, Roderick McColl, Yao Ding, et al.. (2007). Automated method for accurate abdominal fat quantification on water‐saturated magnetic resonance images. Journal of Magnetic Resonance Imaging. 26(3). 738–746. 22 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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