Dongbo Yang

977 total citations
25 papers, 594 citations indexed

About

Dongbo Yang is a scholar working on Molecular Biology, Cancer Research and Automotive Engineering. According to data from OpenAlex, Dongbo Yang has authored 25 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Cancer Research and 2 papers in Automotive Engineering. Recurrent topics in Dongbo Yang's work include RNA Interference and Gene Delivery (3 papers), MicroRNA in disease regulation (3 papers) and Cancer-related molecular mechanisms research (3 papers). Dongbo Yang is often cited by papers focused on RNA Interference and Gene Delivery (3 papers), MicroRNA in disease regulation (3 papers) and Cancer-related molecular mechanisms research (3 papers). Dongbo Yang collaborates with scholars based in China, United States and United Kingdom. Dongbo Yang's co-authors include Wenzhong Du, Chuanlu Jiang, Lingchao Chen, Yongli Li, Ying Sun, Feng Yan, Yuqiong Cui, Chuanlu Jiang, Xianfeng Li and Ruiyan Li and has published in prestigious journals such as Construction and Building Materials, Nature Chemical Biology and Aquaculture.

In The Last Decade

Dongbo Yang

25 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongbo Yang China 13 362 251 58 51 36 25 594
Emanuele Valli Italy 19 677 1.9× 280 1.1× 235 4.1× 24 0.5× 67 1.9× 23 1.2k
Qianying Huang China 13 318 0.9× 177 0.7× 18 0.3× 10 0.2× 63 1.8× 31 611
Honghong Wang China 14 467 1.3× 114 0.5× 152 2.6× 6 0.1× 45 1.3× 39 754
Haidong Cai China 19 472 1.3× 255 1.0× 160 2.8× 9 0.2× 81 2.3× 48 997
Yilin Zhao China 20 632 1.7× 129 0.5× 77 1.3× 42 0.8× 17 0.5× 42 990
Daming Cui China 18 617 1.7× 356 1.4× 121 2.1× 10 0.2× 27 0.8× 41 984
Renxiong Wei China 15 361 1.0× 225 0.9× 73 1.3× 21 0.4× 29 0.8× 24 664
Zhongxiao Lin China 16 620 1.7× 253 1.0× 60 1.0× 8 0.2× 45 1.3× 38 904
Meizhu Zheng China 15 356 1.0× 298 1.2× 135 2.3× 12 0.2× 13 0.4× 32 721
Ilaria Penna Italy 14 337 0.9× 158 0.6× 48 0.8× 32 0.6× 18 0.5× 21 674

Countries citing papers authored by Dongbo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Dongbo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongbo Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Dongbo Yang. A scholar is included among the top collaborators of Dongbo Yang 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 Dongbo Yang. Dongbo Yang 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.
Yang, Jianhui, Shudong Zhang, Huigang Wei, & Dongbo Yang. (2025). Failure criteria and constitutive relation of all-lightweight concrete under real triaxial stresses. Construction and Building Materials. 489. 142152–142152. 1 indexed citations
2.
Yang, Jianhui, et al.. (2024). Effect of initial temperature damage on the static and fatigue performance of all-lightweight shale ceramsite concrete. Construction and Building Materials. 450. 138577–138577. 3 indexed citations
3.
Nguyen, Long C., Dongbo Yang, Deborah Thomas, et al.. (2024). Direct inhibition of tumor hypoxia response with synthetic transcriptional repressors. Nature Chemical Biology. 21(2). 247–255. 3 indexed citations
4.
Li, Li, Siyu Xia, Zitong Zhao, et al.. (2024). EMP3 as a prognostic biomarker correlates with EMT in GBM. BMC Cancer. 24(1). 89–89. 5 indexed citations
5.
Yesilkanal, Ali E., Dongbo Yang, Payal Tiwari, et al.. (2021). Limited inhibition of multiple nodes in a driver network blocks metastasis. eLife. 10. 19 indexed citations
6.
7.
Wan, Yiming, et al.. (2020). Observation and Control of Gene Expression Noise: Barrier Crossing Analogies Between Drug Resistance and Metastasis. Frontiers in Genetics. 11. 586726–586726. 14 indexed citations
8.
Liu, Daming, Hongjun Wang, Bo Han, et al.. (2016). CAMKK2, Regulated by Promoter Methylation, is a Prognostic Marker in Diffuse Gliomas. CNS Neuroscience & Therapeutics. 22(6). 518–524. 16 indexed citations
9.
Yang, Dongbo, et al.. (2016). Classification Method of Energy Efficiency and CO2 Emission Intensity of Commercial Trucks in China's Road Transport. Procedia Engineering. 137. 75–84. 16 indexed citations
10.
Shi, Yin, Wenzhong Du, Bo Han, et al.. (2016). MicroRNA-326 sensitizes human glioblastoma cells to curcumin via the SHH/GLI1 signaling pathway. Cancer Biology & Therapy. 19(4). 260–270. 49 indexed citations
11.
Liang, Xia, Daming Liu, Bo Sun, et al.. (2015). Disrupted Topological Organization of Resting‐State Functional Brain Network in Subcortical Vascular Mild Cognitive Impairment. CNS Neuroscience & Therapeutics. 21(10). 846–854. 39 indexed citations
12.
Du, Wenzhong, Xing Liu, Lingchao Chen, et al.. (2014). Targeting the SMO oncogene by miR-326 inhibits glioma biological behaviors and stemness. Neuro-Oncology. 17(2). 243–253. 69 indexed citations
13.
Du, Wenzhong, Feng Yan, Xiaofeng Wang, et al.. (2013). Curcumin Suppresses Malignant Glioma Cells Growth and Induces Apoptosis by Inhibition of SHH/GLI1 Signaling Pathway in Vitro and Vivo. CNS Neuroscience & Therapeutics. 19(12). 926–936. 79 indexed citations
14.
Lan, Xianyong, et al.. (2013). Polymorphisms in the Promoter Region of the Chinese Bovine <italic>PPARGC1A</italic> Gene. Asian-Australasian Journal of Animal Sciences. 26(4). 483–487. 3 indexed citations
15.
Li, Ruiyan, Lingchao Chen, Haiyan Zhang, et al.. (2013). MiR‐139 Inhibits Mcl‐1 Expression and Potentiates TMZ‐Induced Apoptosis in Glioma. CNS Neuroscience & Therapeutics. 19(7). 477–483. 72 indexed citations
16.
Yuan, Jie, et al.. (2012). The association of bovine T1R family of receptors polymorphisms with cattle growth traits. Research in Veterinary Science. 93(2). 783–787. 6 indexed citations
17.
Chen, Lingchao, Junhe Zhang, Feng Yan, et al.. (2012). MiR-410 regulates MET to influence the proliferation and invasion of glioma. The International Journal of Biochemistry & Cell Biology. 44(11). 1711–1717. 88 indexed citations
18.
Chen, Huai, et al.. (2012). A 5′UTR SNP of GHRHR locus is associated with body weight and average daily gain in Chinese cattle. Molecular Biology Reports. 39(12). 10469–10473. 5 indexed citations
19.
Pan, Chuanying, Xianyong Lan, Dongbo Yang, et al.. (2008). A DdeI PCR-RFLP detecting a novel missense mutation of the POU1F1 gene showed no effects on growth traits in cattle. Czech Journal of Animal Science. 53(12). 532–527. 8 indexed citations
20.
Dupuy, Jacques, Hong Yin, Jie Luo, et al.. (2003). Pharmacokinetics of ivermectin in the yak (Bos grunniens). Veterinary Parasitology. 117(1-2). 153–157. 5 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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