Bingyu Xiang

774 total citations
9 papers, 552 citations indexed

About

Bingyu Xiang is a scholar working on Surgery, Genetics and Molecular Biology. According to data from OpenAlex, Bingyu Xiang has authored 9 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Bingyu Xiang's work include Mesenchymal stem cell research (6 papers), Tissue Engineering and Regenerative Medicine (3 papers) and MicroRNA in disease regulation (3 papers). Bingyu Xiang is often cited by papers focused on Mesenchymal stem cell research (6 papers), Tissue Engineering and Regenerative Medicine (3 papers) and MicroRNA in disease regulation (3 papers). Bingyu Xiang collaborates with scholars based in China and United States. Bingyu Xiang's co-authors include Charlie Xiang, Xiaojun Wang, Lu Chen, Xiaoxing Wu, Xiaozhou Mou, Lu Chen, Yanling Wang, Jian‐Zhong Shao, Lixin Xiang and Jinyang Chen and has published in prestigious journals such as International Journal of Molecular Sciences, Oncotarget and Stem Cell Research & Therapy.

In The Last Decade

Bingyu Xiang

9 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bingyu Xiang China	8	231	219	216	110	109	9	552
Angelo Tocci Italy	12	144 0.6×	178 0.8×	118 0.5×	34 0.3×	41 0.4×	31	541
Yohei Yamamoto Japan	13	86 0.4×	176 0.8×	121 0.6×	83 0.8×	37 0.3×	25	604
Andrea F. Wise Australia	9	218 0.9×	410 1.9×	178 0.8×	192 1.7×	10 0.1×	23	702
Jesús María Sierra-Párraga United Kingdom	9	385 1.7×	174 0.8×	312 1.4×	46 0.4×	50 0.5×	12	610
Juan He China	12	158 0.7×	422 1.9×	128 0.6×	193 1.8×	16 0.1×	25	652
Mario Ricciardi Italy	10	267 1.2×	228 1.0×	175 0.8×	95 0.9×	10 0.1×	15	700
Madhu Gargesha Netherlands	3	365 1.6×	134 0.6×	163 0.8×	34 0.3×	24 0.2×	3	464
Katayoun Aghajani United States	6	231 1.0×	213 1.0×	241 1.1×	51 0.5×	170 1.6×	10	633
Wenchao Li China	12	164 0.7×	152 0.7×	61 0.3×	52 0.5×	18 0.2×	14	382
Linsen Ye China	13	99 0.4×	293 1.3×	90 0.4×	197 1.8×	106 1.0×	37	728

Countries citing papers authored by Bingyu Xiang

Since Specialization

Citations

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

Fields of papers citing papers by Bingyu Xiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingyu Xiang

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

All Works

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9 of 9 papers shown

Xiang, Bingyu, Chunyu Deng, Fei Qiu, et al.. (2021). Single cell sequencing analysis identifies genetics-modulated ORMDL3+ cholangiocytes having higher metabolic effects on primary biliary cholangitis. Journal of Nanobiotechnology. 19(1). 406–406. 23 indexed citations

Xiang, Bingyu, Lu Chen, Xiaojun Wang, & Charlie Xiang. (2017). Mesenchymal stem cells as therapeutic agents and in gene delivery for the treatment of glioma. Journal of Zhejiang University SCIENCE B. 18(9). 737–746. 8 indexed citations

Wang, Xiaojun, Bingyu Xiang, Yahui Ding, et al.. (2017). Human menstrual blood-derived mesenchymal stem cells as a cellular vehicle for malignant glioma gene therapy. Oncotarget. 8(35). 58309–58321. 21 indexed citations

Chen, Lu, Bingyu Xiang, Xiaojun Wang, & Charlie Xiang. (2017). Exosomes derived from human menstrual blood-derived stem cells alleviate fulminant hepatic failure. Stem Cell Research & Therapy. 8(1). 9–9. 153 indexed citations

Xiang, Bingyu, et al.. (2017). Transplantation of Menstrual Blood-Derived Mesenchymal Stem Cells Promotes the Repair of LPS-Induced Acute Lung Injury. International Journal of Molecular Sciences. 18(4). 689–689. 99 indexed citations

Chen, Lijun, Chunfeng Zhang, Lu Chen, et al.. (2016). Human Menstrual Blood-Derived Stem Cells Ameliorate Liver Fibrosis in Mice by Targeting Hepatic Stellate Cells via Paracrine Mediators. Stem Cells Translational Medicine. 6(1). 272–284. 101 indexed citations

Wang, Wei, Fanlong Liu, Bingyu Xiang, Charlie Xiang, & Xiaozhou Mou. (2015). Stem cells as cellular vehicles for gene therapy against glioblastoma.. PubMed. 8(10). 17102–9. 5 indexed citations

Wu, Xiaoxing, Yueqiu Luo, Jinyang Chen, et al.. (2014). Transplantation of Human Menstrual Blood Progenitor Cells Improves Hyperglycemia by Promoting Endogenous Progenitor Differentiation in Type 1 Diabetic Mice. Stem Cells and Development. 23(11). 1245–1257. 78 indexed citations

Mou, Xiaozhou, Jian Lin, Yifei Li, et al.. (2013). Menstrual blood-derived mesenchymal stem cells differentiate into functional hepatocyte-like cells. Journal of Zhejiang University SCIENCE B. 14(11). 961–972. 64 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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