Dabing Yang

1.3k total citations
12 papers, 135 citations indexed

About

Dabing Yang is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Dabing Yang has authored 12 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Plant Science and 3 papers in Genetics. Recurrent topics in Dabing Yang's work include Plant Disease Resistance and Genetics (3 papers), Plant Pathogenic Bacteria Studies (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). Dabing Yang is often cited by papers focused on Plant Disease Resistance and Genetics (3 papers), Plant Pathogenic Bacteria Studies (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). Dabing Yang collaborates with scholars based in China, Philippines and United States. Dabing Yang's co-authors include Tongmin Mou, Jiefeng Jiang, Jauhar Ali, Di Yang, Junbin Huang, Yidan Ouyang, Ying Chen, Yi Chen, Jingjing Huang and Chen Du and has published in prestigious journals such as Frontiers in Plant Science, Psychiatry Research and Theranostics.

In The Last Decade

Dabing Yang

10 papers receiving 132 citations

Peers

Dabing Yang

GENET

PHYSI

Weihua Zhang China

Iny Elizebeth Mathew India

Prasanna S. Koti India

Xiaoyang Chen China

Caroline Hoppe United Kingdom

Heather E. Yates United States

Brady Olsen United States

Morgane Térézol France

Yan Pang United States

Yanqing Han China

Weihua Zhang China

Dabing Yang

33 ×0.4

38 ×0.7

5 ×0.1

GENET

17 ×0.8

8 ×0.6

PHYSI

Citations per year, relative to Dabing Yang Dabing Yang (= 1×) peers Weihua Zhang

Countries citing papers authored by Dabing Yang

Since Specialization

Citations

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

Fields of papers citing papers by Dabing Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dabing Yang

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

All Works

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12 of 12 papers shown

Yang, Dabing, et al.. (2025). Single Tree Semantic Segmentation from UAV Images Based on Improved U-Net Network. Drones. 9(4). 237–237. 2 indexed citations

Zheng, Xingfei, et al.. (2025). Genome-wide identification of the nuclear redox protein gene family revealed its potential role in drought stress tolerance in rice. Frontiers in Plant Science. 16. 1562718–1562718. 1 indexed citations

Xie, Zuoquan, Jingjing Huang, Guangqiang Sun, et al.. (2024). Integrated multi-omics analysis reveals gut microbiota dysbiosis and systemic disturbance in major depressive disorder. Psychiatry Research. 334. 115804–115804. 34 indexed citations

Xie, Zuoquan, Qinming Zhou, Lu He, et al.. (2024). Integrated omics profiling reveals systemic dysregulation and potential biomarkers in the blood of patients with neuromyelitis optica spectrum disorders. Journal of Translational Medicine. 22(1). 989–989. 2 indexed citations

He, Shen, Faming Zhao, Guangqiang Sun, et al.. (2024). Development of machine-learning-driven signatures for diagnosing and monitoring therapeutic response in major depressive disorder using integrated immune cell profiles and plasma cytokines. Theranostics. 14(18). 7265–7280. 2 indexed citations

Hu, Liang, Dabing Yang, Hongbo Wang, et al.. (2023). Transcriptome analysis revealed differentially expressed genes in rice functionally associated with brown planthopper defense in near isogenic lines pyramiding BPH14 and BPH15. Frontiers in Plant Science. 14. 1250590–1250590.

Yang, Dabing, et al.. (2021). Study on Transmission Line Image Defect Recognition Algorithm based on Faster-RCNN. 1190–1193.

Yang, Dabing, et al.. (2021). Improving the resistance of the rice PTGMS line Feng39S by pyramiding blast, bacterial blight, and brown planthopper resistance genes. The Crop Journal. 10(4). 1187–1197. 9 indexed citations

Yang, Dabing, et al.. (2019). Improving rice blast resistance of Feng39S through molecular marker-assisted backcrossing. Rice. 12(1). 70–70. 18 indexed citations

10.

Yang, Dabing, Yi Chen, Jiefeng Jiang, et al.. (2018). Accelerated molecular breeding of a novel P/TGMS line with broad-spectrum resistance to rice blast and bacterial blight in two-line hybrid rice. Rice. 11(1). 11–11. 25 indexed citations

11.

Jiang, Jiefeng, Dabing Yang, Jauhar Ali, & Tongmin Mou. (2015). Molecular marker-assisted pyramiding of broad-spectrum disease resistance genes, Pi2 and Xa23, into GZ63-4S, an elite thermo-sensitive genic male-sterile line in rice. Molecular Breeding. 35(3). 30 indexed citations

12.

Zhang, Ping, Dabing Yang, Zichao Luo, et al.. (2012). Gene therapy using the human telomerase catalytic subunit gene promoter enables targeting of the therapeutic effects of vesicular stomatitis virus matrix protein against human lung adenocarcinoma. Experimental and Therapeutic Medicine. 4(5). 859–864. 12 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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