Taotao Dong

1.4k total citations
40 papers, 1.1k citations indexed

About

Taotao Dong is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology. According to data from OpenAlex, Taotao Dong has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Molecular Biology and 12 papers in Oncology. Recurrent topics in Taotao Dong's work include Radiomics and Machine Learning in Medical Imaging (13 papers), AI in cancer detection (7 papers) and Cervical Cancer and HPV Research (6 papers). Taotao Dong is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), AI in cancer detection (7 papers) and Cervical Cancer and HPV Research (6 papers). Taotao Dong collaborates with scholars based in China, United States and Australia. Taotao Dong's co-authors include Bo Feng, Binbin Tan, Xia Zou, Minhua Zheng, Minhua Zheng, Yu Cheng, Yunping Qiu, Tianlu Chen, Guoxiang Xie and Linjing Zhao and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and Langmuir.

In The Last Decade

Taotao Dong

35 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
Taotao Dong China	15	616	295	284	168	154	40	1.1k
Luigi Minafra Italy	21	542 0.9×	264 0.9×	340 1.2×	257 1.5×	219 1.4×	54	1.3k
Anilkumar Gopalakrishnapillai United States	18	747 1.2×	256 0.9×	105 0.4×	233 1.4×	294 1.9×	64	1.4k
Qiong Wu China	20	820 1.3×	248 0.8×	226 0.8×	66 0.4×	140 0.9×	92	1.5k
Tai‐Kuang Chao Taiwan	23	788 1.3×	194 0.7×	270 1.0×	248 1.5×	143 0.9×	59	1.5k
Ying Zheng China	21	556 0.9×	166 0.6×	233 0.8×	95 0.6×	127 0.8×	43	1.1k
Madan Lal Brahma Bhatt India	20	556 0.9×	259 0.9×	264 0.9×	95 0.6×	154 1.0×	79	1.1k
Farina Hanif Pakistan	10	495 0.8×	154 0.5×	245 0.9×	109 0.6×	137 0.9×	49	1.2k
А. Антонов Russia	11	838 1.4×	230 0.8×	500 1.8×	80 0.5×	73 0.5×	54	1.2k
Mina Alimohammadi Iran	20	530 0.9×	149 0.5×	279 1.0×	175 1.0×	134 0.9×	71	972
Hassan Lemjabbar‐Alaoui United States	11	787 1.3×	354 1.2×	280 1.0×	77 0.5×	319 2.1×	17	1.4k

Countries citing papers authored by Taotao Dong

Since Specialization

Citations

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

Fields of papers citing papers by Taotao Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taotao Dong

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Xiao Hua, et al.. (2025). Regeneration of saturated activated carbon by low-voltage arcing method: Insight from nature water treatment. Process Safety and Environmental Protection. 216. 230–236.

Li, Butuo, Bing Zou, Shijiang Wang, et al.. (2025). Deep learning for survival prediction in triple-negative breast cancer: development and validation in real-world cohorts. Scientific Reports. 15(1). 30248–30248.

Yang, Linlin, Butuo Li, Taotao Dong, & Linlin Wang. (2024). ViTR-SP: A CT-based vision transformer model for prediction of pneumonitis in patients with non-small cell lung cancer who received thoracic radiotherapy and immunotherapy.. Journal of Clinical Oncology. 42(16_suppl). e20034–e20034. 1 indexed citations

Dong, Taotao, et al.. (2024). Hierarchically porous coralloid ZnO@Ag microspheres as SERS substrate for highly sensitive malachite green detection. Optical Materials. 152. 115405–115405. 6 indexed citations

Liu, Qingqing, Xiaofang Zhang, Jiamei Li, et al.. (2024). A Histopathologic Image Analysis for the Classification of Endocervical Adenocarcinoma Silva Patterns Depend on Weakly Supervised Deep Learning. American Journal Of Pathology. 194(5). 735–746. 2 indexed citations

Wang, Bingyu, Jinwen Ye, Xinlin Jiao, et al.. (2024). Glycolysis Induced by METTL14 Is Essential for Macrophage Phagocytosis and Phenotype in Cervical Cancer. The Journal of Immunology. 212(4). 723–736. 14 indexed citations

Li, Butuo, Linlin Yang, Huan Zhang, et al.. (2023). Outcome-Supervised Deep Learning on Pathologic Whole Slide Images for Survival Prediction of Immunotherapy in Patients with Non–Small Cell Lung Cancer. Modern Pathology. 36(8). 100208–100208. 5 indexed citations

Wang, Xiaoxiao, et al.. (2023). Surfactants Accelerate Isotope Exchange-Based ¹⁸F-Fluorination in Water. Langmuir. 39(26). 9007–9016. 2 indexed citations

Liu, Qingqing, Nan Jiang, Chunyan Hao, et al.. (2023). Identification of lymph node metastasis in pre‐operation cervical cancer patients by weakly supervised deep learning from histopathological whole‐slide biopsy images. Cancer Medicine. 12(17). 17952–17966. 8 indexed citations

10.

Wang, Tao, et al.. (2023). Isotope Exchange-Based ¹⁸F-Labeling Methods. Bioconjugate Chemistry. 34(1). 140–161. 12 indexed citations

11.

Wang, Weiwei, Lin Chen, Dandan Hu, et al.. (2023). Apatinib Inhibits Bladder Cancer through Suppression of the VEGFR2-PI3K-AKT Signaling Pathway as Revealed by Network Pharmacology andin vitro Experimental Verification. Combinatorial Chemistry & High Throughput Screening. 26(13). 2380–2392. 1 indexed citations

12.

Zheng, Yawen, Fang Wang, Wenxia Zhang, et al.. (2022). Preoperative CT-based deep learning model for predicting overall survival in patients with high-grade serous ovarian cancer. Frontiers in Oncology. 12. 986089–986089. 7 indexed citations

13.

Cui, Hui, Taotao Dong, Bing Zou, et al.. (2021). Integrating Clinical Data and Attentional CT Imaging Features for Esophageal Fistula Prediction in Esophageal Cancer. Frontiers in Oncology. 11. 688706–688706. 8 indexed citations

14.

Qu, Wenjie, Qingqing Liu, Xinlin Jiao, et al.. (2021). Development and Validation of a Personalized Survival Prediction Model for Uterine Adenosarcoma: A Population-Based Deep Learning Study. Frontiers in Oncology. 10. 623818–623818. 9 indexed citations

15.

Xie, Lin, Ran Chu, Kai Wang, et al.. (2020). Prognostic Assessment of Cervical Cancer Patients by Clinical Staging and Surgical-Pathological Factor: A Support Vector Machine-Based Approach. Frontiers in Oncology. 10. 1353–1353. 17 indexed citations

16.

Wang, Linlin, Taotao Dong, Bowen Xin, et al.. (2019). Integrative nomogram of CT imaging, clinical, and hematological features for survival prediction of patients with locally advanced non-small cell lung cancer. European Radiology. 29(6). 2958–2967. 57 indexed citations

17.

Wang, Linlin, Dong Yang, Aiqin Gao, et al.. (2017). Tumor necrosis factor receptor 2/AKT and ERK signaling pathways contribute to the switch from fibroblasts to CAFs by progranulin in microenvironment of colorectal cancer. Oncotarget. 8(16). 26323–26333. 32 indexed citations

18.

Dong, Taotao, Dong Yang, Rui Li, et al.. (2015). PGRN promotes migration and invasion of epithelial ovarian cancer cells through an epithelial mesenchymal transition program and the activation of cancer associated fibroblasts. Experimental and Molecular Pathology. 100(1). 17–25. 42 indexed citations

19.

Zhao, Hongchao, Taotao Dong, Linlin Wang, et al.. (2013). miR-320a suppresses colorectal cancer progression by targeting Rac1. Carcinogenesis. 35(4). 886–895. 79 indexed citations

20.

Zou, Xia, Bo Feng, Taotao Dong, et al.. (2013). Up-regulation of type I collagen during tumorigenesis of colorectal cancer revealed by quantitative proteomic analysis. Journal of Proteomics. 94. 473–485. 86 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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