Biyin Cao

2.1k total citations
59 papers, 1.6k citations indexed

About

Biyin Cao is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Biyin Cao has authored 59 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 21 papers in Hematology and 10 papers in Oncology. Recurrent topics in Biyin Cao's work include Ubiquitin and proteasome pathways (20 papers), Multiple Myeloma Research and Treatments (19 papers) and Protein Degradation and Inhibitors (17 papers). Biyin Cao is often cited by papers focused on Ubiquitin and proteasome pathways (20 papers), Multiple Myeloma Research and Treatments (19 papers) and Protein Degradation and Inhibitors (17 papers). Biyin Cao collaborates with scholars based in China, Canada and United States. Biyin Cao's co-authors include Xinliang Mao, Zubin Zhang, Yuanying Zeng, Kunkun Han, Yujia Xu, Jiefei Tong, Michael F. Moran, Xiaowen Tang, Jingyu Zhu and Yuanming He and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Biyin Cao

58 papers receiving 1.6k citations

Peers

Biyin Cao

ONCOL

HEMAT

EPIDE

Giovanni Di Maira Italy

Hye‐Young Min South Korea

Wooyoung Hur United States

Gabriel Pons Spain

Elisa Ciraolo Italy

Weigang Tong United States

Yongmun Choi South Korea

S. Sianna Castillo United States

Mai Uesugi Japan

Allan S. Wagman United States

Giovanni Di Maira Italy

Biyin Cao

1.0k ×0.9

310 ×0.8

ONCOL

109 ×0.4

HEMAT

189 ×0.9

EPIDE

119 ×0.6

Citations per year, relative to Biyin Cao Biyin Cao (= 1×) peers Giovanni Di Maira

Countries citing papers authored by Biyin Cao

Since Specialization

Citations

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

Fields of papers citing papers by Biyin Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biyin Cao

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

All Works

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20 of 20 papers shown

Zhang, Zubin, Mei Li, Peng Lin, et al.. (2023). The ubiquitin ligase HERC4 suppresses MafA transcriptional activity triggered by GSK3β in myeloma by atypical K63-linked polyubiquitination. Journal of Biological Chemistry. 299(5). 104675–104675. 1 indexed citations

Duan, Yuxin, Jianhong Ouyang, Guoxiang Mo, et al.. (2021). Defensing role of novel piscidins from largemouth bass (Micropterus salmoides) with evidence of bactericidal activities and inducible expressional delineation. Microbiological Research. 256. 126953–126953. 9 indexed citations

He, Yuanming, Xiumin Zhou, Shuoyi Jiang, et al.. (2021). TRIM25 activates AKT/mTOR by inhibiting PTEN via K63-linked polyubiquitination in non-small cell lung cancer. Acta Pharmacologica Sinica. 43(3). 681–691. 41 indexed citations

He, Yuanming, Shuoyi Jiang, Chenyu Mao, et al.. (2021). The deubiquitinase USP10 restores PTEN activity and inhibits non–small cell lung cancer cell proliferation. Journal of Biological Chemistry. 297(3). 101088–101088. 54 indexed citations

Xu, Yujia, Tong Sun, Kun Zeng, et al.. (2020). Anti-bacterial and anti-viral nanchangmycin displays anti-myeloma activity by targeting Otub1 and c-Maf. Cell Death and Disease. 11(9). 818–818. 11 indexed citations

Sun, Tong, Yujia Xu, Shuoyi Jiang, et al.. (2020). Suppression of the USP10/CCND1 axis induces glioblastoma cell apoptosis. Acta Pharmacologica Sinica. 42(8). 1338–1346. 50 indexed citations

Liu, Yan, Xiaofeng Xu, Peng Lin, et al.. (2019). Inhibition of the deubiquitinase USP9x induces pre-B cell homeobox 1 (PBX1) degradation and thereby stimulates prostate cancer cell apoptosis. Journal of Biological Chemistry. 294(12). 4572–4582. 46 indexed citations

Du, Yanyun, Zubin Zhang, Biyin Cao, et al.. (2017). Nitroxoline shows antimyeloma activity by targeting the TRIM25/p53 axle. Anti-Cancer Drugs. 28(4). 376–383. 31 indexed citations

Wang, Siyu, Jie Li, Yanyun Du, et al.. (2017). The Class I PI3K inhibitor S14161 induces autophagy in malignant blood cells by modulating the Beclin 1/Vps34 complex. Journal of Pharmacological Sciences. 134(4). 197–202. 28 indexed citations

10.

Xu, Yujia, Yanan Hao, Xin Xu, et al.. (2017). A novel STAT3 inhibitor negatively modulates platelet activation and aggregation. Acta Pharmacologica Sinica. 38(5). 651–659. 20 indexed citations

11.

Xu, Xin, Kunkun Han, Xiaowen Tang, et al.. (2016). The Ring Finger Protein RNF6 Induces Leukemia Cell Proliferation as a Direct Target of Pre-B-cell Leukemia Homeobox 1. Journal of Biological Chemistry. 291(18). 9617–9628. 51 indexed citations

12.

Han, Kunkun, Xin Xu, Guodong Chen, et al.. (2015). SC06, a novel small molecule compound, displays preclinical activity against multiple myeloma by disrupting the mTOR signaling pathway. Scientific Reports. 5(1). 12809–12809. 19 indexed citations

13.

Chen, Guodong, Xin Xu, Jiefei Tong, et al.. (2014). Ubiquitination of the transcription factor c-MAF is mediated by multiple lysine residues. The International Journal of Biochemistry & Cell Biology. 57. 157–166. 28 indexed citations

14.

Han, Kunkun, Xin Xu, Guodong Chen, et al.. (2014). Identification of a promising PI3K inhibitor for the treatment of multiple myeloma through the structural optimization. Journal of Hematology & Oncology. 7(1). 9–9. 47 indexed citations

15.

Zhu, Jingyu, Peichen Pan, Youyong Li, et al.. (2013). Theoretical studies on beta and delta isoform-specific binding mechanisms of phosphoinositide 3-kinase inhibitors. Molecular BioSystems. 10(3). 454–466. 17 indexed citations

16.

Zhang, Zubin, et al.. (2013). The antidepressant amitriptyline shows potent therapeutic activity against multiple myeloma. Anti-Cancer Drugs. 24(8). 792–798. 26 indexed citations

17.

Tang, Juan, Biyin Cao, Zubin Zhang, et al.. (2013). The Natural Pesticide Dihydrorotenone Induces Human Plasma Cell Apoptosis by Triggering Endoplasmic Reticulum Stress and Activating p38 Signaling Pathway. PLoS ONE. 8(7). e69911–e69911. 10 indexed citations

18.

Cao, Biyin, Jie Li, Jingyu Zhu, et al.. (2013). The Antiparasitic Clioquinol Induces Apoptosis in Leukemia and Myeloma Cells by Inhibiting Histone Deacetylase Activity. Journal of Biological Chemistry. 288(47). 34181–34189. 44 indexed citations

19.

Ling, Chunhua, Guodong Chen, Zubin Zhang, et al.. (2012). A deuterated analog of dasatinib disrupts cell cycle progression and displays anti‐non‐small cell lung cancer activity in vitro and in vivo. International Journal of Cancer. 131(10). 2411–2419. 26 indexed citations

20.

Yang, Fang, Yaping Yang, Chengjie Mao, et al.. (2009). Role of autophagy and proteasome degradation pathways in apoptosis of PC12 cells overexpressing human α-synuclein. Neuroscience Letters. 454(3). 203–208. 25 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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