Baoshan Xu

2.5k total citations
47 papers, 2.0k citations indexed

About

Baoshan Xu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Baoshan Xu has authored 47 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Public Health, Environmental and Occupational Health and 7 papers in Reproductive Medicine. Recurrent topics in Baoshan Xu's work include Reproductive Biology and Fertility (7 papers), PI3K/AKT/mTOR signaling in cancer (6 papers) and Ovarian function and disorders (6 papers). Baoshan Xu is often cited by papers focused on Reproductive Biology and Fertility (7 papers), PI3K/AKT/mTOR signaling in cancer (6 papers) and Ovarian function and disorders (6 papers). Baoshan Xu collaborates with scholars based in United States, China and Japan. Baoshan Xu's co-authors include Shile Huang, Tao Shen, Hongyu Zhou, Wenxing Chen, Xiuzhen Han, Yan Luo, Long Chen, Jennifer L. Gerton, Yan Luo and Lei Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Baoshan Xu

46 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baoshan Xu United States 25 1.1k 373 236 174 172 47 2.0k
Changjiang Huang China 27 738 0.7× 355 1.0× 114 0.5× 100 0.6× 153 0.9× 69 2.2k
Hongyu Zhou China 27 1.5k 1.4× 306 0.8× 187 0.8× 126 0.7× 262 1.5× 61 2.8k
Tino Kurz Sweden 25 1.4k 1.3× 193 0.5× 497 2.1× 160 0.9× 239 1.4× 36 3.4k
Edward E. Schmidt United States 35 2.2k 2.1× 124 0.3× 378 1.6× 145 0.8× 243 1.4× 78 3.4k
T Pribýl United States 24 879 0.8× 219 0.6× 215 0.9× 113 0.6× 334 1.9× 72 2.1k
Noriyuki Nagahara Japan 28 1.3k 1.2× 151 0.4× 109 0.5× 248 1.4× 202 1.2× 62 3.2k
Xiaoxi Wang China 22 1.2k 1.2× 157 0.4× 285 1.2× 142 0.8× 184 1.1× 56 1.9k
Stefania Crispi Italy 29 943 0.9× 145 0.4× 94 0.4× 208 1.2× 226 1.3× 65 2.2k
Craig Harris United States 27 864 0.8× 516 1.4× 149 0.6× 56 0.3× 117 0.7× 87 2.2k
Anne‐Laure Bulteau France 32 1.9k 1.8× 166 0.4× 341 1.4× 69 0.4× 127 0.7× 63 3.1k

Countries citing papers authored by Baoshan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Baoshan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoshan Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Baoshan Xu. A scholar is included among the top collaborators of Baoshan Xu 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 Baoshan Xu. Baoshan Xu 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.
2.
Lima, Leonardo Gomes de, Vijay Pratap Singh, Tamara Potapova, et al.. (2021). PCR amplicons identify widespread copy number variation in human centromeric arrays and instability in cancer. Cell Genomics. 1(3). 100064–100064. 16 indexed citations
3.
Wang, Lihong, Hua Li, Yujie Liang, et al.. (2020). Combined inhibition of RNA polymerase I and mTORC1/2 synergize to combat oral squamous cell carcinoma. Biomedicine & Pharmacotherapy. 133. 110906–110906. 10 indexed citations
4.
Yuen, Kobe, Baoshan Xu, Ian D. Krantz, & Jennifer L. Gerton. (2015). NIPBL Controls RNA Biogenesis to Prevent Activation of the Stress Kinase PKR. Cell Reports. 14(1). 93–102. 24 indexed citations
5.
Xu, Baoshan, Shuai Lu, & Jennifer L. Gerton. (2014). Roberts syndrome. PubMed. 2(1). e27743–e27743. 27 indexed citations
6.
Odaka, Yoshinobu, Baoshan Xu, Yan Luo, et al.. (2013). Dihydroartemisinin inhibits the mammalian target of rapamycin-mediated signaling pathways in tumor cells. Carcinogenesis. 35(1). 192–200. 44 indexed citations
7.
Han, Xiuzhen, Baoshan Xu, Yoshinobu Odaka, et al.. (2012). Curcumin inhibits protein phosphatases 2A and 5, leading to activation of mitogen-activated protein kinases and death in tumor cells. Carcinogenesis. 33(4). 868–875. 67 indexed citations
8.
Lee, KK, Shuai Lu, Baoshan Xu, et al.. (2012). Cohesin Proteins Promote Ribosomal RNA Production and Protein Translation in Yeast and Human Cells. PLoS Genetics. 8(6). e1002749–e1002749. 81 indexed citations
9.
Luo, Yan, Hongyu Zhou, Tao Shen, et al.. (2011). The fungicide ciclopirox inhibits lymphatic endothelial cell tube formation by suppressing VEGFR-3-mediated ERK signaling pathway. Oncogene. 30(18). 2098–2107. 34 indexed citations
10.
Chen, Sujuan, Yijiao Xu, Baoshan Xu, et al.. (2011). CaMKII is involved in cadmium activation of MAPK and mTOR pathways leading to neuronal cell death. Journal of Neurochemistry. 119(5). 1108–1118. 92 indexed citations
11.
Xu, Baoshan, Sujuan Chen, Yan Luo, et al.. (2011). Calcium Signaling Is Involved in Cadmium-Induced Neuronal Apoptosis via Induction of Reactive Oxygen Species and Activation of MAPK/mTOR Network. PLoS ONE. 6(4). e19052–e19052. 191 indexed citations
12.
Chen, Wenxing, Yan Luo, Lei Liu, et al.. (2010). Cryptotanshinone Inhibits Cancer Cell Proliferation by Suppressing Mammalian Target of Rapamycin–Mediated Cyclin D1 Expression and Rb Phosphorylation. Cancer Prevention Research. 3(8). 1015–1025. 84 indexed citations
13.
Chen, Long, Baoshan Xu, Lei Liu, et al.. (2010). Cadmium induction of reactive oxygen species activates the mTOR pathway, leading to neuronal cell death. Free Radical Biology and Medicine. 50(5). 624–632. 216 indexed citations
14.
Zhou, Hongyu, Tao Shen, Yan Luo, et al.. (2010). The antitumor activity of the fungicide ciclopirox. International Journal of Cancer. 127(10). 2467–2477. 90 indexed citations
15.
Liu, Lei, Long Chen, Yan Luo, et al.. (2010). Rapamycin Inhibits IGF-1 Stimulated Cell Motility through PP2A Pathway. PLoS ONE. 5(5). e10578–e10578. 35 indexed citations
16.
Wang, Chao, Baoshan Xu, Bo Zhou, et al.. (2009). Reducing CYP51 inhibits follicle-stimulating hormone induced resumption of mouse oocyte meiosis in vitro. Journal of Lipid Research. 50(11). 2164–2172. 18 indexed citations
17.
Zhang, Hua, Baoshan Xu, Huirong Xie, et al.. (2008). Lanosterol metabolic product(s) is involved in primordial folliculogenesis and establishment of primordial folliclepool in mouse fetal ovary. Molecular Reproduction and Development. 76(5). 514–521. 19 indexed citations
18.
Fu, Maoyong, Songbo Wang, Xiufen Chen, et al.. (2008). An Antisense Oligodeoxynucleotide to the LH Receptor Attenuates FSH-induced Oocyte Maturation in Mice. Asian-Australasian Journal of Animal Sciences. 21(7). 972–979. 8 indexed citations
19.
Zhao, Lin, et al.. (2006). Transport properties of electron-doped La2- xCexCuO4 cuprate thin films. Physical Review B. 73(10). 2 indexed citations
20.
He, Wei, et al.. (1994). Magnetic shields made of high Tc superconducting ceramic Tl2Ba2Ca2Cu3O10. Physica C Superconductivity. 235-240. 3459–3460. 1 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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