Wen‐Bing Ai

468 total citations
11 papers, 352 citations indexed

About

Wen‐Bing Ai is a scholar working on Molecular Biology, Surgery and Hepatology. According to data from OpenAlex, Wen‐Bing Ai has authored 11 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Hepatology. Recurrent topics in Wen‐Bing Ai's work include Liver physiology and pathology (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and RNA Interference and Gene Delivery (3 papers). Wen‐Bing Ai is often cited by papers focused on Liver physiology and pathology (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and RNA Interference and Gene Delivery (3 papers). Wen‐Bing Ai collaborates with scholars based in China and Canada. Wen‐Bing Ai's co-authors include Jiangfeng Wu, Lin‐Yan Wan, Yanqiong Zhang, Xueping Jiang, Peng Hu, Yaowei Ai, Jiaojiao Wang, Liang‐Yin Chu, Xiao Tan and Kai Yuan and has published in prestigious journals such as World Journal of Gastroenterology, Expert Opinion on Drug Delivery and Cell & Bioscience.

In The Last Decade

Wen‐Bing Ai

11 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wen‐Bing Ai China	9	208	94	94	87	48	11	352
Leslie A. Morton United States	9	278 1.3×	89 0.9×	100 1.1×	95 1.1×	58 1.2×	11	400
Christine M. Van Horn United States	4	167 0.8×	48 0.5×	37 0.4×	111 1.3×	72 1.5×	12	366
Nan-Sheng Cheng China	9	98 0.5×	87 0.9×	97 1.0×	76 0.9×	68 1.4×	17	291
Ina Sevic Argentina	10	136 0.7×	73 0.8×	42 0.4×	131 1.5×	14 0.3×	17	327
Yankun Zhang China	11	185 0.9×	27 0.3×	141 1.5×	66 0.8×	32 0.7×	23	348
Toshihiro Nishio Japan	8	87 0.4×	172 1.8×	32 0.3×	125 1.4×	67 1.4×	13	358
Duoduo Lv China	9	291 1.4×	98 1.0×	187 2.0×	127 1.5×	25 0.5×	16	482
Jeffrey Morin United States	9	152 0.7×	37 0.4×	29 0.3×	95 1.1×	25 0.5×	17	336
Jon Voutila United Kingdom	7	390 1.9×	23 0.2×	118 1.3×	40 0.5×	24 0.5×	8	475

Countries citing papers authored by Wen‐Bing Ai

Since Specialization

Citations

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

Fields of papers citing papers by Wen‐Bing Ai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Bing Ai. 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 Wen‐Bing Ai. The network helps show where Wen‐Bing Ai may publish in the future.

Co-authorship network of co-authors of Wen‐Bing Ai

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

All Works

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11 of 11 papers shown

Liu, Meng‐Yuan, Lu Huang, Jiangfeng Wu, et al.. (2022). Possible roles of Golgi protein-73 in liver diseases. Annals of Hepatology. 27(5). 100720–100720. 16 indexed citations

Hu, Peng, Jiaojiao Wang, Xiaohui Liu, et al.. (2021). Relationship between the structure and function of the transcriptional regulator E2A. PubMed. 28(1). 15–15. 8 indexed citations

Yang, Xue, et al.. (2021). Interaction of non‑parenchymal hepatocytes in the process of hepatic fibrosis (Review). Molecular Medicine Reports. 23(5). 15 indexed citations

Yang, Xue, et al.. (2021). Analysis of key genes and related transcription factors in liver fibrosis based on bioinformatic technology.. International Journal of Clinical and Experimental Pathology. 14(4). 444–454. 4 indexed citations

Wan, Lin‐Yan, et al.. (2020). The influencing factors and functions of DNA G‐quadruplexes. Cell Biochemistry and Function. 38(5). 524–532. 27 indexed citations

Wan, Lin‐Yan, Wen‐Bing Ai, Yaowei Ai, et al.. (2019). An exploration of aptamer internalization mechanisms and their applications in drug delivery. Expert Opinion on Drug Delivery. 16(3). 207–218. 68 indexed citations

Hu, Peng, et al.. (2018). The roles of lncRNA in hepatic fibrosis. Cell & Bioscience. 8(1). 63–63. 53 indexed citations

Yuan, Kai, Wen‐Bing Ai, Lin‐Yan Wan, Xiao Tan, & Jiangfeng Wu. (2017). The miR-290-295 cluster as multi-faceted players in mouse embryonic stem cells. Cell & Bioscience. 7(1). 38–38. 30 indexed citations

Jiang, Xueping, Wen‐Bing Ai, Lin‐Yan Wan, Yanqiong Zhang, & Jiangfeng Wu. (2017). The roles of microRNA families in hepatic fibrosis. Cell & Bioscience. 7(1). 34–34. 81 indexed citations

10.

Zhang, Kai, Yanqiong Zhang, Wen‐Bing Ai, et al.. (2015). Hes1, an important gene for activation of hepatic stellate cells, is regulated by Notch1 and TGF-β/BMP signaling. World Journal of Gastroenterology. 21(3). 878–878. 45 indexed citations

11.

Ai, Wen‐Bing, et al.. (2004). Clinical observation on effect of Xuesaitong injection as auxiliary treatment of severe craniocerebral injury. Chinese Journal of Integrative Medicine. 10(2). 122–122. 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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