Fengbiao Zhou

789 total citations
23 papers, 367 citations indexed

About

Fengbiao Zhou is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Fengbiao Zhou has authored 23 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Fengbiao Zhou's work include Glycosylation and Glycoproteins Research (6 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (4 papers). Fengbiao Zhou is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (4 papers). Fengbiao Zhou collaborates with scholars based in China, Germany and Netherlands. Fengbiao Zhou's co-authors include Chunhong Cui, Carsten Müller‐Tidow, Jianhai Jiang, Jianxin Gu, Yuanyan Wei, Yuqing Ge, Christian Rohde, Yi Liu, Bayram Edemir and Jiejie Xu and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Fengbiao Zhou

22 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengbiao Zhou China 11 303 102 90 57 31 23 367
Scott E. Millman United States 6 234 0.8× 84 0.8× 83 0.9× 54 0.9× 25 0.8× 10 313
Carmen E. Pyragius Australia 10 248 0.8× 121 1.2× 84 0.9× 54 0.9× 82 2.6× 10 393
Hugh Gannon United States 9 370 1.2× 92 0.9× 163 1.8× 79 1.4× 28 0.9× 14 474
Yann Duchartre United States 5 369 1.2× 107 1.0× 94 1.0× 40 0.7× 20 0.6× 7 467
Yun Seong Jeong United States 9 397 1.3× 143 1.4× 147 1.6× 41 0.7× 44 1.4× 17 499
Lucia García-Gutiérrez Spain 9 305 1.0× 62 0.6× 132 1.5× 45 0.8× 68 2.2× 15 417
Qionghua Zhu China 10 384 1.3× 93 0.9× 128 1.4× 41 0.7× 31 1.0× 13 474
Nilesh Gardi India 12 204 0.7× 103 1.0× 96 1.1× 32 0.6× 31 1.0× 28 329
Zhen Ning Wee Singapore 4 267 0.9× 113 1.1× 111 1.2× 64 1.1× 71 2.3× 4 385
Xingling Zheng China 9 322 1.1× 95 0.9× 89 1.0× 23 0.4× 28 0.9× 12 431

Countries citing papers authored by Fengbiao Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Fengbiao Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengbiao Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Fengbiao Zhou. A scholar is included among the top collaborators of Fengbiao Zhou 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 Fengbiao Zhou. Fengbiao Zhou 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.
Yun, Haiyang, Fengbiao Zhou, Christian Rohde, et al.. (2024). The landscape of RNA-chromatin interaction reveals small non-coding RNAs as essential mediators of leukemia maintenance. Leukemia. 38(8). 1688–1698. 3 indexed citations
3.
Liu, Yi, Sanmei Wang, Maria‐Luisa Schubert, et al.. (2021). CD33‐directed immunotherapy with third‐generation chimeric antigen receptor T cells and gemtuzumab ozogamicin in intact and CD33‐edited acute myeloid leukemia and hematopoietic stem and progenitor cells. International Journal of Cancer. 150(7). 1141–1155. 35 indexed citations
4.
Zhou, Fengbiao, et al.. (2020). lncRNA TM4SF1-AS1 Activates the PI3K/AKT Signaling Pathway and Promotes the Migration and Invasion of Lung Cancer Cells. SHILAP Revista de lepidopterología. 1 indexed citations
5.
Pauli, Cornelius, Yi Liu, Christian Rohde, et al.. (2020). Site-specific methylation of 18S ribosomal RNA by SNORD42A is required for acute myeloid leukemia cell proliferation. Blood. 135(23). 2059–2070. 59 indexed citations
6.
Cui, Chunhong, Yi Liu, Dennis Gerloff, et al.. (2020). NOP10 predicts lung cancer prognosis and its associated small nucleolar RNAs drive proliferation and migration. Oncogene. 40(5). 909–921. 39 indexed citations
7.
Gründer, Albert, Fengbiao Zhou, Jonas S. Jutzi, et al.. (2019). Enhanced expression of the sphingosine-1-phosphate-receptor-3 causes acute myelogenous leukemia in mice. Leukemia. 34(3). 721–734. 10 indexed citations
8.
Zhou, Fengbiao & Carsten Müller‐Tidow. (2019). NPM1 functions in epitranscriptomics. Nature Genetics. 51(10). 1436–1437. 4 indexed citations
9.
Xu, Min, Haiping Hao, Lifeng Jiang, et al.. (2016). Cardiotonic Pill Reduces Myocardial Ischemia-Reperfusion Injury via Increasing EET Concentrations in Rats. Drug Metabolism and Disposition. 44(7). 878–887. 10 indexed citations
10.
11.
Sauer, Tim, Marı́a Francisca Arteaga, Fabienne Isken, et al.. (2015). MYST2 acetyltransferase expression and Histone H4 Lysine acetylation are suppressed in AML. Experimental Hematology. 43(9). 794–802.e4. 20 indexed citations
12.
Zhou, Fengbiao, Chunhong Cui, Yu Ge, et al.. (2010).  2,3-Sialylation regulates the stability of stem cell marker CD133. The Journal of Biochemistry. 148(3). 273–280. 41 indexed citations
13.
Wei, Yuanyuan, Fengbiao Zhou, Yu Ge, et al.. (2010). Regulation of the  1,4-Galactosyltransferase I promoter by E2F1. The Journal of Biochemistry. 148(3). 263–271. 6 indexed citations
14.
Ge, Yuqing, Fengbiao Zhou, Hong Chen, et al.. (2010). Sox2 is translationally activated by eukaryotic initiation factor 4E in human glioma-initiating cells. Biochemical and Biophysical Research Communications. 397(4). 711–717. 30 indexed citations
15.
Wei, Yuanyan, Fengbiao Zhou, Yuqing Ge, et al.. (2010). β1,4-Galactosyltransferase V regulates self-renewal of glioma-initiating cell. Biochemical and Biophysical Research Communications. 396(3). 602–607. 14 indexed citations
16.
Ge, Yu, Fengbiao Zhou, Hua Chen, et al.. (2010). Identification and characterization of the promoter of human ATF5 gene. The Journal of Biochemistry. 148(2). 171–178. 9 indexed citations
17.
Wei, Yuanyan, Dan Liu, Fengbiao Zhou, et al.. (2008). Identification of β-1,4-galactosyltransferase I as a target gene of HBx-induced cell cycle progression of hepatoma cell. Journal of Hepatology. 49(6). 1029–1037. 28 indexed citations
18.
Ge, Yu, Fengbiao Zhou, Jiejie Xu, et al.. (2008). Identification of E1AF as a Target Gene of E2F1-induced Apoptosis in Response to DNA Damage. The Journal of Biochemistry. 144(4). 539–546. 5 indexed citations
19.
Wei, Yuanyan, Dan Liu, Yuqing Ge, et al.. (2008). Down-regulation of β1,4GalT V at protein level contributes to arsenic trioxide-induced glioma cell apoptosis. Cancer Letters. 267(1). 96–105. 22 indexed citations
20.
Zhou, Ji, et al.. (2007). Identification of  1,4GalT II as a Target Gene of p53-mediated HeLa Cell Apoptosis. The Journal of Biochemistry. 143(4). 547–554. 16 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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