Zhuoyue Bi

1.1k total citations
31 papers, 659 citations indexed

About

Zhuoyue Bi is a scholar working on Molecular Biology, Cancer Research and Environmental Chemistry. According to data from OpenAlex, Zhuoyue Bi has authored 31 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Environmental Chemistry. Recurrent topics in Zhuoyue Bi's work include Epigenetics and DNA Methylation (10 papers), Genomics, phytochemicals, and oxidative stress (7 papers) and Arsenic contamination and mitigation (7 papers). Zhuoyue Bi is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), Genomics, phytochemicals, and oxidative stress (7 papers) and Arsenic contamination and mitigation (7 papers). Zhuoyue Bi collaborates with scholars based in United States, China and Saudi Arabia. Zhuoyue Bi's co-authors include Yongyi Bi, Dejia Li, Chitra Thakur, Cheng‐Cao Sun, Yao Fu, Feng Zhang, Qun Zhou, Priya Wadgaonkar, Yiran Qiu and Cong Liu and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Zhuoyue Bi

28 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhuoyue Bi United States	12	526	328	89	63	51	31	659
Xiong Chen China	15	543 1.0×	441 1.3×	91 1.0×	69 1.1×	52 1.0×	37	764
Ci Zhao China	10	312 0.6×	286 0.9×	46 0.5×	23 0.4×	41 0.8×	12	427
W‐C Hung Taiwan	9	302 0.6×	148 0.5×	99 1.1×	28 0.4×	51 1.0×	9	434
Yu‐Wei Chang Taiwan	15	271 0.5×	84 0.3×	105 1.2×	44 0.7×	71 1.4×	31	472
Eriko Okochi‐Takada Japan	12	408 0.8×	182 0.6×	100 1.1×	66 1.0×	58 1.1×	17	627
Yanrong Su United States	14	314 0.6×	127 0.4×	132 1.5×	42 0.7×	29 0.6×	23	460
Erik Johansson Sweden	8	307 0.6×	83 0.3×	138 1.6×	47 0.7×	25 0.5×	9	470
Yinyin Xie China	11	252 0.5×	73 0.2×	93 1.0×	34 0.5×	92 1.8×	35	480
Lina Romero United States	11	327 0.6×	261 0.8×	93 1.0×	148 2.3×	35 0.7×	13	606
Yifang Wei China	11	473 0.9×	345 1.1×	67 0.8×	31 0.5×	30 0.6×	13	601

Countries citing papers authored by Zhuoyue Bi

Since Specialization

Citations

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

Fields of papers citing papers by Zhuoyue Bi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuoyue Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuoyue Bi. A scholar is included among the top collaborators of Zhuoyue Bi 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 Zhuoyue Bi. Zhuoyue Bi 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

Seno, Akimasa, Zhuoyue Bi, Lisa Polin, et al.. (2025). Genome-wide mapping of arsenic-activated Nrf2 reveals metabolic and epigenetic reprogramming in induced pluripotent stem cells. Redox Biology. 86. 103773–103773. 2 indexed citations

Zhang, Wenxuan, Yao Fu, Chitra Thakur, et al.. (2025). Aryl Hydrocarbon Receptor (AHR) Suppresses Arsenic (As³⁺)-Induced Malignant Transformation by Antagonizing TOX Expression. International Journal of Biological Sciences. 21(6). 2747–2761.

Ji, Haoyan, Zhuoyue Bi, Akimasa Seno, et al.. (2024). Genomic and epigenetic characterization of the arsenic-induced oncogenic microRNA-21. Environmental Pollution. 345. 123396–123396. 4 indexed citations

Fu, Yao, Akimasa Seno, Zhuoyue Bi, et al.. (2023). Tumor suppressive activity of AHR in environmental arsenic-induced carcinogenesis. Toxicology and Applied Pharmacology. 480. 116747–116747. 2 indexed citations

Thakur, Chitra, Yiran Qiu, Yao Fu, et al.. (2022). Epigenetics and environment in breast cancer: New paradigms for anti-cancer therapies. Frontiers in Oncology. 12. 971288–971288. 35 indexed citations

Fu, Yao, Zhuoyue Bi, Wenxuan Zhang, et al.. (2022). Arsenic activates STAT3 signaling during the transformation of the human bronchial epithelial cells. Toxicology and Applied Pharmacology. 436. 115884–115884. 8 indexed citations

Thakur, Chitra, Nicholas J. Carruthers, Qian Zhang, et al.. (2022). Depletion of Mdig Changes Proteomic Profiling in Triple Negative Breast Cancer Cells. Biomedicines. 10(8). 2021–2021.

Qiu, Yiran, Zhuoyue Bi, Yao Fu, et al.. (2021). Profiling of histone H3 trimethylation and distinct epigenetic pattern of chromosome Y in the transformed bronchial epithelial cells induced by consecutive arsenic treatment. Genes & Diseases. 9(5). 1160–1162. 7 indexed citations

Fu, Yao, Zhuoyue Bi, Lingzhi Li, et al.. (2021). Metabolomic dynamics of the arsenic-transformed bronchial epithelial cells and the derived cancer stem-like cells. International Journal of Biological Sciences. 18(1). 301–314. 8 indexed citations

10.

Zhang, Qian, Priya Wadgaonkar, Liping Xu, et al.. (2021). Environmentally-induced mdig contributes to the severity of COVID-19 through fostering expression of SARS-CoV-2 receptor NRPs and glycan metabolism. Theranostics. 11(16). 7970–7983. 9 indexed citations

11.

Shi, Junwei, Chitra Thakur, Qian Zhang, et al.. (2021). Pathological and Prognostic Indications of the mdig Gene in Human Lung Cancer. Cellular Physiology and Biochemistry. 55(S2). 13–28. 6 indexed citations

12.

Bi, Zhuoyue, Yao Fu, Priya Wadgaonkar, et al.. (2021). New Discoveries and Ambiguities of Nrf2 and ATF3 Signaling in Environmental Arsenic-Induced Carcinogenesis. Antioxidants. 11(1). 77–77. 10 indexed citations

13.

Chang, Qingshan, Zhuoyue Bi, Yao Fu, et al.. (2020). Characterization of Arsenic-Induced Cancer Stem-Like Cells. Methods in molecular biology. 2117. 293–303. 12 indexed citations

14.

Hu, Wei, Cong Liu, Zhuoyue Bi, et al.. (2020). Comprehensive landscape of extracellular vesicle-derived RNAs in cancer initiation, progression, metastasis and cancer immunology. Molecular Cancer. 19(1). 102–102. 168 indexed citations

15.

Zhang, Qian, Chitra Thakur, Zhuoyue Bi, et al.. (2020). CRISPR-Cas9 gene editing causes alternative splicing of the targeting mRNA. Biochemical and Biophysical Research Communications. 528(1). 54–61. 12 indexed citations

16.

Bi, Zhuoyue, Qian Zhang, Yao Fu, et al.. (2020). Nrf2 and HIF1α converge to arsenic-induced metabolic reprogramming and the formation of the cancer stem-like cells. Theranostics. 10(9). 4134–4149. 49 indexed citations

17.

Li, Lingzhi, Zhuoyue Bi, Priya Wadgaonkar, et al.. (2019). Metabolic and epigenetic reprogramming in the arsenic-induced cancer stem cells. Seminars in Cancer Biology. 57. 10–18. 37 indexed citations

18.

Sun, Cheng‐Cao, Qun Zhou, Wei Hu, et al.. (2018). Transcriptional E2F1/2/5/8 as potential targets and transcriptional E2F3/6/7 as new biomarkers for the prognosis of human lung carcinoma. Aging. 10(5). 973–987. 67 indexed citations

19.

Hu, Wei, Zhuoyue Bi, Zhenlong Chen, et al.. (2018). Emerging landscape of circular RNAs in lung cancer. Cancer Letters. 427. 18–27. 93 indexed citations

20.

Zhu, Jie, Zhuoyue Bi, Yang Tan, et al.. (2014). Regulation of PKM2 and Nrf2-ARE Pathway during Benzoquinone Induced Oxidative Stress in Yolk Sac Hematopoietic Stem Cells. PLoS ONE. 9(12). e113733–e113733. 13 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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