Jianbiao Zhou

4.5k total citations
81 papers, 3.5k citations indexed

About

Jianbiao Zhou is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Jianbiao Zhou has authored 81 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 33 papers in Hematology and 17 papers in Cancer Research. Recurrent topics in Jianbiao Zhou's work include Acute Myeloid Leukemia Research (19 papers), Protein Degradation and Inhibitors (13 papers) and Ubiquitin and proteasome pathways (11 papers). Jianbiao Zhou is often cited by papers focused on Acute Myeloid Leukemia Research (19 papers), Protein Degradation and Inhibitors (13 papers) and Ubiquitin and proteasome pathways (11 papers). Jianbiao Zhou collaborates with scholars based in Singapore, United States and China. Jianbiao Zhou's co-authors include Wee Joo Chng, Chien-Shing Chen, Siok‐Bian Ng, Qiang Yu, Chonglei Bi, Yujun Zhao, Choon‐Hong Tan, Lih‐Wen Deng, Ling Li and Zheng‐Wei Lee and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Jianbiao Zhou

76 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianbiao Zhou Singapore 34 2.2k 705 694 639 547 81 3.5k
Hiroya Asou Japan 29 2.3k 1.0× 839 1.2× 1.2k 1.8× 869 1.4× 383 0.7× 70 3.9k
Andrew G. Hall United Kingdom 36 2.2k 1.0× 400 0.6× 756 1.1× 863 1.4× 263 0.5× 118 4.0k
Rena G. Lapidus United States 31 3.4k 1.5× 749 1.1× 1.6k 2.4× 299 0.5× 308 0.6× 99 4.9k
Raymond Taetle United States 38 2.2k 1.0× 518 0.7× 1.2k 1.8× 1.0k 1.6× 538 1.0× 129 4.4k
Benjamin D. Hopkins United States 26 3.0k 1.3× 940 1.3× 979 1.4× 169 0.3× 448 0.8× 44 4.5k
William Westlin United States 24 1.2k 0.6× 555 0.8× 545 0.8× 218 0.3× 492 0.9× 65 3.0k
Mohamed Rahmani United States 47 3.9k 1.8× 554 0.8× 1.4k 2.0× 1.2k 1.9× 586 1.1× 95 5.7k
Claudia Friesen Germany 24 2.5k 1.1× 507 0.7× 1.1k 1.5× 222 0.3× 692 1.3× 40 3.5k
Jingxuan Pan China 38 2.7k 1.2× 795 1.1× 1.0k 1.5× 591 0.9× 409 0.7× 90 4.1k
Deborah A. Altomare United States 37 4.0k 1.8× 1.0k 1.4× 1.7k 2.4× 172 0.3× 683 1.2× 69 6.4k

Countries citing papers authored by Jianbiao Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Jianbiao Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianbiao Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Jianbiao Zhou. A scholar is included among the top collaborators of Jianbiao 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 Jianbiao Zhou. Jianbiao 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.
Zhou, Jianbiao, et al.. (2025). Deciphering the dynamics of histone acetylation and chromatin remodeling in multiple myeloma: a tale beyond the tails. Blood. 146(13). 1550–1560. 1 indexed citations
2.
Jia, Yunlu, et al.. (2024). Stress granules in cancer: Adaptive dynamics and therapeutic implications. iScience. 27(8). 110359–110359. 13 indexed citations
3.
Chung, Tae‐Hoon, Jianbiao Zhou, Tze King Tan, et al.. (2024). The ADAR1-regulated cytoplasmic dsRNA-sensing pathway is a novel mechanism of lenalidomide resistance in multiple myeloma. Blood. 145(11). 1164–1181. 1 indexed citations
4.
Carter, Jean-Michel, Jianbiao Zhou, Qingfeng Chen, et al.. (2024). Aberrant non-canonical NF-κB signalling reprograms the epigenome landscape to drive oncogenic transcriptomes in multiple myeloma. Nature Communications. 15(1). 2513–2513. 6 indexed citations
5.
Zhou, Jianbiao, Tze King Tan, Tae‐Hoon Chung, et al.. (2024). Super enhancer acquisition drives expression of oncogenic PPP1R15B that regulates protein homeostasis in multiple myeloma. Nature Communications. 15(1). 6810–6810. 3 indexed citations
6.
Zhou, Jianbiao & Wee Joo Chng. (2022). Biological Hallmarks and Emerging Strategies to Target STAT3 Signaling in Multiple Myeloma. Cells. 11(6). 941–941. 9 indexed citations
7.
8.
Jia, Yunlu, Jianbiao Zhou, Tze King Tan, et al.. (2021). Myeloma-specific superenhancers affect genes of biological and clinical relevance in myeloma. Blood Cancer Journal. 11(2). 32–32. 15 indexed citations
9.
Chng, Wee Joo, et al.. (2021). Crosstalk between endoplasmic reticulum stress and oxidative stress: a dynamic duo in multiple myeloma. Cellular and Molecular Life Sciences. 78(8). 3883–3906. 53 indexed citations
10.
Chong, Phyllis S.Y., Jianbiao Zhou, Jing-Yuan Chooi, et al.. (2019). IL6 Promotes a STAT3-PRL3 Feedforward Loop via SHP2 Repression in Multiple Myeloma. Cancer Research. 79(18). 4679–4688. 59 indexed citations
11.
Chong, Phyllis S.Y., Jianbiao Zhou, Jing-Yuan Chooi, et al.. (2018). Non-canonical activation of β-catenin by PRL-3 phosphatase in acute myeloid leukemia. Oncogene. 38(9). 1508–1519. 18 indexed citations
12.
Zhou, Jianbiao, et al.. (2018). ENL: structure, function, and roles in hematopoiesis and acute myeloid leukemia. Cellular and Molecular Life Sciences. 75(21). 3931–3941. 15 indexed citations
13.
Ng, Christopher, Chun Kiat Lee, Zhaojin Chen, et al.. (2017). CEBPA mutational analysis in acute myeloid leukaemia by a laboratory-developed next-generation sequencing assay. Journal of Clinical Pathology. 71(6). 522–531. 12 indexed citations
14.
Boyd‐Kirkup, Jerome D., Dipti Thakkar, Peter Bräuer, et al.. (2017). HMBD004, a Novel Anti-CD47xCD33 Bispecific Antibody Displays Potent Anti-Tumor Effects in Pre-Clinical Models of AML. Blood. 130. 1378–1378. 18 indexed citations
15.
Zhou, Jianbiao, Chonglei Bi, Phyllis S.Y. Chong, et al.. (2016). LIN28B Activation by PRL-3 Promotes Leukemogenesis and a Stem Cell–like Transcriptional Program in AML. Molecular Cancer Research. 15(3). 294–303. 30 indexed citations
16.
Zhou, Jianbiao, et al.. (2015). Aberrant nuclear factor-kappa B activity in acute myeloid Leukemia: from molecular pathogenesis to therapeutic target. Publisher. 1 indexed citations
17.
Chong, Phyllis S.Y., Jianbiao Zhou, Shaw-Cheng Liu, et al.. (2014). LEO1 Is Regulated by PRL-3 and Mediates Its Oncogenic Properties in Acute Myelogenous Leukemia. Cancer Research. 74(11). 3043–3053. 28 indexed citations
18.
Zhou, Jianbiao, Phyllis S.Y. Chong, Sylvia Mahara, et al.. (2012). The pro-metastasis tyrosine phosphatase, PRL-3 (PTP4A3), is a novel mediator of oncogenic function of BCR-ABL in human chronic myeloid leukemia. Molecular Cancer. 11(1). 72–72. 30 indexed citations
19.
Zhou, Jianbiao, Boon-Cher Goh, Daniel H. Albert, & Chien-Shing Chen. (2009). ABT-869, a promising multi-targeted tyrosine kinase inhibitor: from bench to bedside. Journal of Hematology & Oncology. 2(1). 33–33. 52 indexed citations
20.

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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