Dengbing Yao

1.3k total citations
49 papers, 1.0k citations indexed

About

Dengbing Yao is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Epidemiology. According to data from OpenAlex, Dengbing Yao has authored 49 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 16 papers in Molecular Biology and 10 papers in Epidemiology. Recurrent topics in Dengbing Yao's work include Nerve injury and regeneration (23 papers), Neurogenesis and neuroplasticity mechanisms (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). Dengbing Yao is often cited by papers focused on Nerve injury and regeneration (23 papers), Neurogenesis and neuroplasticity mechanisms (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). Dengbing Yao collaborates with scholars based in China, Japan and Philippines. Dengbing Yao's co-authors include Xiaosong Gu, Fei Ding, Dengfu Yao, Hiroshi Kido, Junji Chida, Min Yao, Liwei Qiu, Zhizhen Dong, Xinhua Wu and Xianyong Meng and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Dengbing Yao

46 papers receiving 1000 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dengbing Yao China 19 386 358 170 156 114 49 1.0k
María Collantes Spain 22 453 1.2× 190 0.5× 94 0.6× 115 0.7× 26 0.2× 67 1.4k
Yen‐Zhen Lu Taiwan 17 327 0.8× 92 0.3× 44 0.3× 58 0.4× 74 0.6× 24 935
Sang‐In Park South Korea 19 410 1.1× 162 0.5× 58 0.3× 100 0.6× 56 0.5× 56 1.0k
Nasim Kiaie Iran 18 324 0.8× 52 0.1× 129 0.8× 85 0.5× 47 0.4× 30 908
Sung‐Whan Kim South Korea 18 457 1.2× 83 0.2× 84 0.5× 88 0.6× 15 0.1× 53 1.4k
Tatsuya Usui Japan 20 553 1.4× 42 0.1× 172 1.0× 375 2.4× 42 0.4× 57 1.5k
Lijun Huang China 18 456 1.2× 99 0.3× 185 1.1× 70 0.4× 15 0.1× 66 971
Mehdi Dianatpour Iran 17 420 1.1× 59 0.2× 65 0.4× 53 0.3× 25 0.2× 125 1.0k
Asami Kondo Japan 13 365 0.9× 71 0.2× 31 0.2× 121 0.8× 42 0.4× 34 728
Kyle Jablonski United States 10 434 1.1× 36 0.1× 129 0.8× 159 1.0× 36 0.3× 19 1.2k

Countries citing papers authored by Dengbing Yao

Since Specialization
Citations

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

Fields of papers citing papers by Dengbing Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dengbing Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Dengbing Yao. A scholar is included among the top collaborators of Dengbing Yao 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 Dengbing Yao. Dengbing Yao 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.
Ye, Yi, Qi Cai, Gengwen Chen, et al.. (2025). A New Anti‐Interfering Platelet Counting Technology Utilizing Conventional Impedance and White Blood Cell Differential Channel. International Journal of Laboratory Hematology. 47(3). 407–414.
2.
Mehari, Teame Gereziher, Jun Tang, Hui Fang, et al.. (2025). Histopathological examination and transcriptomic profiling reveal gossypol toxicity-responsive genes related to fertility in mice. Frontiers in Pharmacology. 16. 1654299–1654299.
3.
Mehari, Teame Gereziher, Marijana Škorić, Hui Fang, et al.. (2024). Insights into the role of GhCYP and GhTPS in the gossypol biosynthesis pathway via a multiomics and functional-based approach in cotton. Journal of Integrative Agriculture. 24(5). 1671–1687. 1 indexed citations
4.
Yao, Yi, et al.. (2024). Fas ligand regulate nerve injury and repair by affecting AKT, β-catenin, and NF-κB pathways. IBRO Neuroscience Reports. 16. 455–467. 3 indexed citations
5.
Shao, Jian, et al.. (2022). Long noncoding RNA H19 regulates degeneration and regeneration of injured peripheral nerves. Neural Regeneration Research. 18(8). 0–0. 4 indexed citations
6.
Yao, Dengbing, Jian Shao, Bryant C. Yung, et al.. (2021). Baculoviral inhibitor of apoptosis protein repeat-containing protein 3 delays early Wallerian degeneration after sciatic nerve injury. Neural Regeneration Research. 17(4). 845–845. 3 indexed citations
7.
Li, Jiannan, et al.. (2020). Protein Kinase Cα Promotes Proliferation and Migration of Schwann Cells by Activating ERK Signaling Pathway. Neuroscience. 433. 94–107. 9 indexed citations
8.
Cui, Shusen, et al.. (2019). Claudin-15 overexpression inhibits proliferation and promotes apoptosis of Schwann cells in vitro. Neural Regeneration Research. 15(1). 169–169. 3 indexed citations
9.
Zhang, Huanhuan, Yun Zhu, Zhihao Li, et al.. (2018). Toll-Like Receptor 4 (TLR4) Expression Affects Schwann Cell Behavior in vitro. Scientific Reports. 8(1). 11179–11179. 16 indexed citations
10.
Li, Yuting, et al.. (2018). Fas Ligand Gene (Faslg) Plays an Important Role in Nerve Degeneration and Regeneration After Rat Sciatic Nerve Injury. Frontiers in Molecular Neuroscience. 11. 210–210. 14 indexed citations
11.
Yao, Min, et al.. (2016). Nonalcoholic Lipid Accumulation and Hepatocyte Malignant Transformation. Journal of Clinical and Translational Hepatology. 4(2). 123–30. 11 indexed citations
12.
Cui, Shusen, et al.. (2014). TGF-β1 is critical for Wallerian degeneration after rat sciatic nerve injury. Neuroscience. 284. 759–767. 26 indexed citations
13.
Cui, Shusen, et al.. (2014). Differential gene expression in proximal and distal nerve segments of rats with sciatic nerve injury during Wallerian degeneration. Neural Regeneration Research. 9(12). 1186–1186. 27 indexed citations
14.
Wang, Yongjun, Xin Tang, Bin Yu, et al.. (2012). Gene Network Revealed Involvements of Birc2, Birc3 and Tnfrsf1a in Anti-Apoptosis of Injured Peripheral Nerves. PLoS ONE. 7(9). e43436–e43436. 38 indexed citations
15.
Yang, Yumin, Fei Ding, Dengbing Yao, et al.. (2011). Repair of Rat Sciatic Nerve Gap by a Silk Fibroin-Based Scaffold Added with Bone Marrow Mesenchymal Stem Cells. Tissue Engineering Part A. 17(17-18). 2231–2244. 87 indexed citations
16.
Zhou, Songlin, Bin Yu, Tianmei Qian, et al.. (2011). Early changes of microRNAs expression in the dorsal root ganglia following rat sciatic nerve transection. Neuroscience Letters. 494(2). 89–93. 49 indexed citations
17.
Kubota, Masaya, Junji Chida, Hideki Hoshino, et al.. (2011). Thermolabile CPT II variants and low blood ATP levels are closely related to severity of acute encephalopathy in Japanese children. Brain and Development. 34(1). 20–27. 40 indexed citations
18.
Yu, Bin, et al.. (2011). Identification and functional annotation of novel microRNAs in the proximal sciatic nerve after sciatic nerve transection. Science China Life Sciences. 54(9). 806–812. 29 indexed citations
19.
Li, Shiying, Bin Yu, Shanshan Wang, et al.. (2011). Identification and functional analysis of novel micro‐rnas in rat dorsal root ganglia after sciatic nerve resection. Journal of Neuroscience Research. 90(4). 791–801. 15 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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