Donghu Yu

552 total citations
25 papers, 334 citations indexed

About

Donghu Yu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Donghu Yu has authored 25 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Cancer Research. Recurrent topics in Donghu Yu's work include Circular RNAs in diseases (5 papers), Cancer-related molecular mechanisms research (5 papers) and Nanoplatforms for cancer theranostics (5 papers). Donghu Yu is often cited by papers focused on Circular RNAs in diseases (5 papers), Cancer-related molecular mechanisms research (5 papers) and Nanoplatforms for cancer theranostics (5 papers). Donghu Yu collaborates with scholars based in China, South Korea and United States. Donghu Yu's co-authors include Sheng Li, Weidong Hu, Zixin Guo, Congkuan Song, Yujin Wang, Jie Yao, Xin Yan, Qingwen Wang, Xiaoping Liu and Xiaolan Ruan and has published in prestigious journals such as Advanced Materials, ACS Nano and Biomaterials.

In The Last Decade

Donghu Yu

25 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donghu Yu China 11 175 130 96 58 28 25 334
Kazuki Heishima Japan 13 287 1.6× 222 1.7× 116 1.2× 65 1.1× 23 0.8× 36 453
Sheeba Jacob India 11 169 1.0× 97 0.7× 123 1.3× 71 1.2× 33 1.2× 29 344
Wenling Tu China 12 213 1.2× 91 0.7× 47 0.5× 50 0.9× 29 1.0× 36 373
Yuxian Wei China 10 148 0.8× 83 0.6× 64 0.7× 115 2.0× 45 1.6× 27 322
Juntao Huang China 12 119 0.7× 83 0.6× 92 1.0× 71 1.2× 29 1.0× 39 317
Preetish Kadur Lakshminarasimha Murthy United States 8 236 1.3× 96 0.7× 142 1.5× 92 1.6× 37 1.3× 11 412
Yang Jiang China 12 154 0.9× 73 0.6× 67 0.7× 48 0.8× 33 1.2× 29 334
Zhuoqi Liu China 6 164 0.9× 106 0.8× 64 0.7× 144 2.5× 62 2.2× 16 358
Xiaojian Zhu China 12 219 1.3× 146 1.1× 70 0.7× 76 1.3× 35 1.3× 30 356
Jiamei Feng China 5 288 1.6× 257 2.0× 70 0.7× 77 1.3× 49 1.8× 10 409

Countries citing papers authored by Donghu Yu

Since Specialization
Citations

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

Fields of papers citing papers by Donghu Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donghu Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Donghu Yu. A scholar is included among the top collaborators of Donghu Yu 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 Donghu Yu. Donghu Yu 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.
Ding, Qihang, Siqi Huang, Zihan Zhang, et al.. (2025). Integration of Photodiagnosis and Therapy Guided by Micro/Nanorobots. Advanced Materials. 37(18). e2420359–e2420359. 17 indexed citations
2.
Yu, Donghu, Lei Hu, Yao Wu, et al.. (2025). Knowledge structures and research hotspots of immunotherapy for brain metastasis, glioma, meningioma, and pituitary adenoma: A bibliometric and visualization review. Chinese Chemical Letters. 36(12). 110995–110995. 1 indexed citations
3.
Yu, Donghu, Qihang Ding, Yao Wu, et al.. (2024). Molecular imaging-guided diagnosis and treatment integration for brain diseases. Biomaterials. 316. 123021–123021. 3 indexed citations
4.
Yu, Donghu, Feng Tang, Shiyu Feng, et al.. (2024). Combination of MRI-based prediction and CRISPR/Cas12a-based detection for IDH genotyping in glioma. npj Precision Oncology. 8(1). 140–140. 8 indexed citations
5.
Xu, Chengshi, Donghu Yu, Zhiyu Li, et al.. (2024). Anti-tumor effects of telmisartan in glioma-astrocyte non-contact co-cultures: A critical role of astrocytic IL-6-mediated paracrine growth promotion. International Immunopharmacology. 139. 112707–112707. 2 indexed citations
6.
Tang, Feng, et al.. (2023). Local and systemic effects of IDH mutations on primary glioma patients. Immunology. 169(4). 503–514. 9 indexed citations
7.
Yu, Donghu, Chen Chen, Le Sun, et al.. (2023). KRT13-expressing epithelial cell population predicts better response to chemotherapy and immunotherapy in bladder cancer: Comprehensive evidences based on BCa database. Computers in Biology and Medicine. 158. 106795–106795. 2 indexed citations
8.
Xu, Chengshi, Xiaochong Li, Chao Yang, et al.. (2023). Telmisartan inhibits microglia-induced neurotoxic A1 astrocyte conversion via PPARγ-mediated NF-κB/p65 degradation. International Immunopharmacology. 123. 110761–110761. 12 indexed citations
9.
10.
Tang, Feng, Chao Yang, Fengping Li, et al.. (2022). Palmitoyl transferases act as potential regulators of tumor-infiltrating immune cells and glioma progression. Molecular Therapy — Nucleic Acids. 28. 716–731. 23 indexed citations
11.
Xiao, Yilei, Weidong Liu, Jiheng Hao, et al.. (2022). CRISPR Detection and Research on Screening Mutant Gene TTN of Moyamoya Disease Family Based on Whole Exome Sequencing. Frontiers in Molecular Biosciences. 9. 846579–846579. 2 indexed citations
12.
Yu, Donghu, Chen Chen, Xiaoping Liu, et al.. (2021). Dysregulation of miR-138-5p/RPS6KA1-AP2M1 Is Associated With Poor Prognosis in AML. Frontiers in Cell and Developmental Biology. 9. 641629–641629. 17 indexed citations
13.
Wang, Yujin, Qingwen Wang, Donghu Yu, et al.. (2021). Osteopontin improves sensitivity to tyrosine kinase inhibitor in lung adenocarcinoma in vitro by promoting epidermal growth factor receptor phosphorylation. Journal of Cancer Research and Clinical Oncology. 147(11). 3245–3254. 2 indexed citations
14.
Liu, Xiaoping, et al.. (2020). To construct a ceRNA regulatory network as prognostic biomarkers for bladder cancer. Journal of Cellular and Molecular Medicine. 24(9). 5375–5386. 48 indexed citations
15.
16.
Song, Congkuan, Zixin Guo, Xiaoyan Shen, et al.. (2020). Prognostic Factors Analysis and Nomogram Construction of Dual Primary Lung Cancer: A Population Study. BioMed Research International. 2020(1). 7206591–7206591. 7 indexed citations
17.
Yu, Donghu, Wei Li, Xiaoping Liu, et al.. (2020). Screening and Functional Analysis of Hub MicroRNAs Related to Tumor Development in Colon Cancer. BioMed Research International. 2020(1). 3981931–3981931. 5 indexed citations
18.
Song, Congkuan, Donghu Yu, Yujin Wang, et al.. (2020). Dual Primary Cancer Patients With Lung Cancer as a Second Primary Malignancy: A Population-Based Study. Frontiers in Oncology. 10. 515606–515606. 15 indexed citations
19.
Song, Congkuan, Zixin Guo, Donghu Yu, et al.. (2020). A Prognostic Nomogram Combining Immune-Related Gene Signature and Clinical Factors Predicts Survival in Patients With Lung Adenocarcinoma. Frontiers in Oncology. 10. 1300–1300. 64 indexed citations
20.

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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