Zebing Hu

890 total citations
31 papers, 702 citations indexed

About

Zebing Hu is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Zebing Hu has authored 31 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 15 papers in Cancer Research and 8 papers in Biomedical Engineering. Recurrent topics in Zebing Hu's work include MicroRNA in disease regulation (14 papers), Bone Metabolism and Diseases (8 papers) and Bone Tissue Engineering Materials (7 papers). Zebing Hu is often cited by papers focused on MicroRNA in disease regulation (14 papers), Bone Metabolism and Diseases (8 papers) and Bone Tissue Engineering Materials (7 papers). Zebing Hu collaborates with scholars based in China, Hong Kong and United States. Zebing Hu's co-authors include Shu Zhang, Xinsheng Cao, Hua Zhou, Zhongyang Sun, Fei Shi, Han Wang, Lijun Zhang, Lianchang Zhang, Yixuan Wang and Yixuan Wang and has published in prestigious journals such as Nano Letters, PLoS ONE and Scientific Reports.

In The Last Decade

Zebing Hu

29 papers receiving 698 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zebing Hu China 15 517 382 107 61 59 31 702
Tinglin Yan China 13 434 0.8× 287 0.8× 32 0.3× 23 0.4× 28 0.5× 16 696
Xiangyang Cao China 10 372 0.7× 240 0.6× 21 0.2× 33 0.5× 21 0.4× 22 487
Paula Carpintero-Fernández Spain 13 435 0.8× 141 0.4× 153 1.4× 14 0.2× 35 0.6× 20 667
Chai-Fei Li United States 10 202 0.4× 91 0.2× 254 2.4× 23 0.4× 69 1.2× 12 633
Rafael Pacheco‐Costa United States 12 407 0.8× 64 0.2× 87 0.8× 115 1.9× 24 0.4× 15 510
Neha S. Dole United States 12 286 0.6× 117 0.3× 31 0.3× 108 1.8× 22 0.4× 19 428
Hong Wei Liu China 10 349 0.7× 125 0.3× 73 0.7× 9 0.1× 25 0.4× 14 598
Daniel Quiat United States 8 1.1k 2.1× 679 1.8× 142 1.3× 8 0.1× 31 0.5× 14 1.4k
Alexandra Brahmer Germany 10 358 0.7× 198 0.5× 49 0.5× 16 0.3× 18 0.3× 14 448

Countries citing papers authored by Zebing Hu

Since Specialization
Citations

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

Fields of papers citing papers by Zebing Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zebing Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Zebing Hu. A scholar is included among the top collaborators of Zebing Hu 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 Zebing Hu. Zebing Hu 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.
Xu, Liqun, Lijun Zhang, Xiaoyan Zhang, et al.. (2025). Melatonin antagonizes bone loss induced by mechanical unloading via IGF2BP1-dependent m6A regulation. Cellular and Molecular Life Sciences. 82(1). 60–60.
2.
Yun, Cheolmin, Shuhui Li, Youfan Hu, et al.. (2025). Enhanced Damage Resistance of Mo/Si Multilayer Mirror with Carbon Barrier Layers under Intense Nanosecond EUV Irradiation. Nano Letters. 25(17). 7144–7152.
3.
Xu, Liqun, et al.. (2024). Melatonin Regulates Osteoblast Differentiation through the m6A Reader hnRNPA2B1 under Simulated Microgravity. Current Issues in Molecular Biology. 46(9). 9624–9638. 1 indexed citations
5.
Zhang, Lijun, Liqun Xu, Yixuan Wang, et al.. (2022). Histone methyltransferase Setdb1 mediates osteogenic differentiation by suppressing the expression of miR-212-3p under mechanical unloading. Cellular Signalling. 102. 110554–110554. 8 indexed citations
6.
Wang, Yixuan, Lijun Zhang, Ke Wang, et al.. (2022). Circulating Exosomes from Mice with LPS-Induced Bone Loss Inhibit Osteoblast Differentiation. Calcified Tissue International. 111(2). 185–195. 11 indexed citations
7.
Xu, Liqun, Xiaoyan Zhang, Lijun Zhang, et al.. (2022). Inhibition of SIRT1 by miR-138-5p provides a mechanism for inhibiting osteoblast proliferation and promoting apoptosis under simulated microgravity. Life Sciences in Space Research. 36. 59–69. 11 indexed citations
8.
Wang, Honghui, Jingjing Dong, Yingjun Tan, et al.. (2021). The small protein MafG plays a critical role in MC3T3-E1 cell apoptosis induced by simulated microgravity and radiation. Biochemical and Biophysical Research Communications. 555. 175–181. 3 indexed citations
9.
Sun, Zhongyang, Yuxiang Wang, Xin Yu, et al.. (2021). MiR‐103‐3p targets the m6A methyltransferase METTL14 to inhibit osteoblastic bone formation. Aging Cell. 20(2). e13298–e13298. 57 indexed citations
10.
Wang, Ke, Yixuan Wang, Zebing Hu, et al.. (2020). Bone-targeted lncRNA OGRU alleviates unloading-induced bone loss via miR-320-3p/Hoxa10 axis. Cell Death and Disease. 11(5). 382–382. 30 indexed citations
11.
Wang, Yixuan, Ke Wang, Lijun Zhang, et al.. (2020). Targeted overexpression of the long noncoding RNA ODSM can regulate osteoblast function in vitro and in vivo. Cell Death and Disease. 11(2). 133–133. 29 indexed citations
12.
Zhang, Lijun, Ke Wang, Yixuan Wang, et al.. (2019). MiR-30 family members inhibit osteoblast differentiation by suppressing Runx2 under unloading conditions in MC3T3-E1 cells. Biochemical and Biophysical Research Communications. 522(1). 164–170. 34 indexed citations
13.
Wang, Yixuan, Ke Wang, Zebing Hu, et al.. (2018). MicroRNA-139-3p regulates osteoblast differentiation and apoptosis by targeting ELK1 and interacting with long noncoding RNA ODSM. Cell Death and Disease. 9(11). 1107–1107. 71 indexed citations
14.
Wang, Han, Zebing Hu, Fei Shi, et al.. (2018). Osteoblast-targeted delivery of miR-33-5p attenuates osteopenia development induced by mechanical unloading in mice. Cell Death and Disease. 9(2). 170–170. 25 indexed citations
15.
Hu, Zebing, Han Wang, Yixuan Wang, et al.. (2017). Genome-wide analysis and prediction of functional long noncoding RNAs in osteoblast differentiation under simulated microgravity. Molecular Medicine Reports. 16(6). 8180–8188. 10 indexed citations
17.
Shi, Fei, Yongchun Wang, Zebing Hu, et al.. (2017). Simulated Microgravity Promotes Angiogenesis through RhoA-Dependent Rearrangement of the Actin Cytoskeleton. Cellular Physiology and Biochemistry. 41(1). 227–238. 29 indexed citations
18.
Wang, Han, Zhongyang Sun, Yixuan Wang, et al.. (2016). miR-33-5p, a novel mechano-sensitive microRNA promotes osteoblast differentiation by targeting Hmga2. Scientific Reports. 6(1). 23170–23170. 77 indexed citations
19.
Sun, Zhongyang, Xinsheng Cao, Zhuo Zhang, et al.. (2015). Simulated microgravity inhibits L-type calcium channel currents partially by the up-regulation of miR-103 in MC3T3-E1 osteoblasts. Scientific Reports. 5(1). 8077–8077. 41 indexed citations
20.
Hu, Zebing, Yixuan Wang, Zhongyang Sun, et al.. (2015). miRNA-132-3p inhibits osteoblast differentiation by targeting Ep300 in simulated microgravity. Scientific Reports. 5(1). 18655–18655. 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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