Xiaobing Wu

4.2k total citations · 2 hit papers
143 papers, 3.4k citations indexed

About

Xiaobing Wu is a scholar working on Molecular Biology, Genetics and Computer Networks and Communications. According to data from OpenAlex, Xiaobing Wu has authored 143 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 38 papers in Genetics and 19 papers in Computer Networks and Communications. Recurrent topics in Xiaobing Wu's work include Virus-based gene therapy research (31 papers), Energy Harvesting in Wireless Networks (14 papers) and Energy Efficient Wireless Sensor Networks (14 papers). Xiaobing Wu is often cited by papers focused on Virus-based gene therapy research (31 papers), Energy Harvesting in Wireless Networks (14 papers) and Energy Efficient Wireless Sensor Networks (14 papers). Xiaobing Wu collaborates with scholars based in China, United States and New Zealand. Xiaobing Wu's co-authors include Guihai Chen, Sajal K. Das, Haipeng Dai, Xiaojun Zhu, Xiaoyan Dong, Tian He, Dijun Luo, Li Lin, Qian Zhang and Zhengxin Wang and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Xiaobing Wu

137 papers receiving 3.4k citations

Hit Papers

Identification of miRNomes in Human Liver and Hepatocellu... 2008 2026 2014 2020 2011 2008 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobing Wu China 30 1.3k 786 768 660 431 143 3.4k
Edmund Lai New Zealand 25 2.6k 2.0× 135 0.2× 460 0.6× 192 0.3× 899 2.1× 110 4.4k
Wei Wei Zhang China 29 674 0.5× 612 0.8× 163 0.2× 122 0.2× 300 0.7× 189 2.5k
Johnson I. Agbinya Australia 17 692 0.5× 326 0.4× 560 0.7× 332 0.5× 46 0.1× 139 2.0k
Byung-Chul Kim South Korea 30 1.2k 0.9× 116 0.1× 248 0.3× 252 0.4× 116 0.3× 121 2.8k
Wenbin Liu China 27 828 0.6× 146 0.2× 101 0.1× 375 0.6× 135 0.3× 147 2.4k
Fang‐Ming Deng United States 32 889 0.7× 71 0.1× 384 0.5× 310 0.5× 116 0.3× 148 3.7k
Xindong Liu China 32 846 0.6× 126 0.2× 742 1.0× 253 0.4× 153 0.4× 82 3.7k
Zhigang Wang China 21 800 0.6× 133 0.2× 140 0.2× 305 0.5× 238 0.6× 90 1.7k
Mao Yang China 26 1.3k 1.0× 499 0.6× 85 0.1× 294 0.4× 60 0.1× 90 3.3k
Liang Tang China 31 1.3k 1.0× 64 0.1× 130 0.2× 643 1.0× 305 0.7× 148 3.6k

Countries citing papers authored by Xiaobing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobing Wu. A scholar is included among the top collaborators of Xiaobing Wu 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 Xiaobing Wu. Xiaobing Wu 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.
Fu, Diyi, Zhen Wu, Jianfang Zhou, et al.. (2025). Pre-existing Anti-AAV9 antibodies in the Chinese healthy and rare disease populations: Implications for gene therapy. Virus Research. 354. 199549–199549. 1 indexed citations
2.
Wu, Siyu, et al.. (2025). A New Species of Pachytriton (Amphibia: Caudata: Salamandridae) from Anhui, China. Animals. 15(20). 3018–3018.
4.
Wu, Zhenhua, Zheng Wang, Qingyan Xu, et al.. (2023). Discovery of urea-based pleuromutilin derivatives as potent gram-positive antibacterial agents. Bioorganic Chemistry. 136. 106547–106547. 8 indexed citations
5.
Wang, Weijie, Zhenhua Wu, Qingyan Xu, et al.. (2022). Nigericin is effective against multidrug resistant gram-positive bacteria, persisters, and biofilms. Frontiers in Cellular and Infection Microbiology. 12. 1055929–1055929. 8 indexed citations
6.
Zeng, Yunxiang, et al.. (2020). A multidisciplinary approach for the diagnosis of benign asbestos pleural effusion: a single-center experience. Journal of Thoracic Disease. 12(8). 4338–4346. 3 indexed citations
7.
Zhang, Huizhong, Ziyuan Zhu, Xianqiu Wu, et al.. (2018). Overexpression of HES6 has prognostic value and promotes metastasis via the Wnt/β-catenin signaling pathway in colorectal cancer. Oncology Reports. 40(3). 1261–1274. 8 indexed citations
8.
Wu, Xiaobing, et al.. (2017). Occurrence and Control of Soybean Aphid, Aphis glycines Matsumura. K-State Research Exchange (Kansas State University).
10.
Yu, Jie‐mei, Qianqian Chen, Yu Tian, et al.. (2013). Identification of human bocaviruses in the cerebrospinal fluid of children hospitalized with encephalitis in China. Journal of Clinical Virology. 57(4). 374–377. 20 indexed citations
11.
Chen, Rui, Junyu Wang, Bing Jiang, et al.. (2013). Study of cell apoptosis in the hippocampus and thalamencephalon in a ventricular fluid impact model. Experimental and Therapeutic Medicine. 6(6). 1463–1468. 5 indexed citations
12.
Deng, Xiping, et al.. (2012). Exogenous hydrogen peroxide positively influences root growth and exogenous hydrogen peroxide positively influences root growth and metabolism in leaves of sweet potato seedlings. Australian Journal of Crop Science. 6(11). 1572–1578. 42 indexed citations
13.
Wu, Jia, Fengwei Zhang, Maorong Wang, et al.. (2010). Characterization of Neuraminidases from the Highly Pathogenic Avian H5N1 and 2009 Pandemic H1N1 Influenza A Viruses. PLoS ONE. 5(12). e15825–e15825. 14 indexed citations
14.
Zhang, Yonghui, Xiaojing Lin, Guoqin Wang, et al.. (2010). Neuraminidase and Hemagglutinin Matching Patterns of a Highly Pathogenic Avian and Two Pandemic H1N1 Influenza A Viruses. PLoS ONE. 5(2). e9167–e9167. 26 indexed citations
15.
Wang, Yan‐Jiang, Chang‐Yue Gao, Miao Yang, et al.. (2010). Intramuscular delivery of a single chain antibody gene prevents brain Aβ deposition and cognitive impairment in a mouse model of Alzheimer’s disease. Brain Behavior and Immunity. 24(8). 1281–1293. 38 indexed citations
16.
Gao, Xueshan, et al.. (2006). Suction Ability Analyses of a Novel Wall Climbing Robot. 1506–1511. 23 indexed citations
17.
18.
Shi, Yan, Xiaobing Wu, Peng Yan, & Zhe Zhao. (2004). A method for DNA extraction from tannage and scales of Chinese alligator {\sl Alligator sinensis}. 50(2). 297–301. 1 indexed citations
19.
Chen, Li, et al.. (2003). Muscle injection of rAAV/mFIX to secrete clotting factor IX corrects the hemorrhagic tendencies in hemophilia B mice. Science in China Series C Life Sciences. 46(4). 422–430. 1 indexed citations
20.
Wu, Xiaobing, De‐Pei Liu, Jia Li, et al.. (2002). Analysis of adeno-associated virus-mediated ex vivo transferred human β-globin gene in bone marrow engrafted mice. Journal of Biomedical Science. 9(3). 253–260. 3 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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