Beiyan Zhou

7.0k total citations · 1 hit paper
63 papers, 4.5k citations indexed

About

Beiyan Zhou is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Beiyan Zhou has authored 63 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 28 papers in Immunology and 27 papers in Cancer Research. Recurrent topics in Beiyan Zhou's work include MicroRNA in disease regulation (22 papers), Immune cells in cancer (16 papers) and Adipokines, Inflammation, and Metabolic Diseases (15 papers). Beiyan Zhou is often cited by papers focused on MicroRNA in disease regulation (22 papers), Immune cells in cancer (16 papers) and Adipokines, Inflammation, and Metabolic Diseases (15 papers). Beiyan Zhou collaborates with scholars based in United States, China and Singapore. Beiyan Zhou's co-authors include Harvey F. Lodish, Stephen Safe, Fuller W. Bazer, Stephanie Wang, Patali S. Cheruku, Christine Mayr, David P. Bartel, Minh T. N. Le, Huangming Xie and Bing Lim and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Beiyan Zhou

63 papers receiving 4.5k citations

Hit Papers

MicroRNA-125b is a novel negative regulator of p53 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beiyan Zhou United States 28 2.7k 2.2k 1.1k 484 413 63 4.5k
Qing‐Sheng Mi United States 42 2.5k 0.9× 1.6k 0.8× 1.8k 1.7× 436 0.9× 286 0.7× 126 5.8k
Mingui Fu United States 43 3.1k 1.2× 1.2k 0.6× 1.6k 1.5× 708 1.5× 658 1.6× 101 5.5k
Yu Qiao China 34 2.2k 0.8× 1.1k 0.5× 1.4k 1.3× 424 0.9× 172 0.4× 89 3.9k
Heng Lin Taiwan 43 2.9k 1.1× 920 0.4× 1.2k 1.1× 1.1k 2.2× 609 1.5× 135 5.4k
Deborah Stroka Switzerland 38 2.2k 0.8× 1.2k 0.6× 823 0.8× 734 1.5× 472 1.1× 105 4.7k
Yaoting Gui China 33 2.8k 1.0× 1.8k 0.8× 663 0.6× 281 0.6× 210 0.5× 164 4.6k
Daisuke Okuzaki Japan 38 2.4k 0.9× 870 0.4× 1000 0.9× 465 1.0× 241 0.6× 248 4.6k
Mark W. Feinberg United States 42 4.7k 1.7× 2.7k 1.2× 1.5k 1.4× 715 1.5× 577 1.4× 127 7.3k
Timothy A. McCaffrey United States 35 2.1k 0.8× 915 0.4× 547 0.5× 373 0.8× 230 0.6× 88 4.0k

Countries citing papers authored by Beiyan Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Beiyan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beiyan Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Beiyan Zhou. A scholar is included among the top collaborators of Beiyan 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 Beiyan Zhou. Beiyan 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.
Kumari, P. Hima, Chengliang Wang, Eleonora Margheritis, et al.. (2024). Transplantation of gasdermin pores by extracellular vesicles propagates pyroptosis to bystander cells. Cell. 188(2). 280–291.e17. 39 indexed citations
2.
Nichols, Frank C., Anthony A. Provatas, Alyssa Matz, et al.. (2024). Microbiome-derived bacterial lipids regulate gene expression of proinflammatory pathway inhibitors in systemic monocytes. Frontiers in Immunology. 15. 1415565–1415565. 1 indexed citations
3.
Ménoret, Antoine, et al.. (2023). Antigen-specific downregulation of miR-150 in CD4 T cells promotes cell survival. Frontiers in Immunology. 14. 1102403–1102403. 4 indexed citations
4.
Karlinsey, Keaton, Alyssa Matz, Lili Qu, & Beiyan Zhou. (2022). Extracellular RNAs from immune cells under obesity—a narrative review. PubMed. 4. 18–18. 2 indexed citations
5.
Aquilano, Katia, Beiyan Zhou, Jonathan R. Brestoff, & Daniele Lettieri‐Barbato. (2022). Multifaceted mitochondrial quality control in brown adipose tissue. Trends in Cell Biology. 33(6). 517–529. 25 indexed citations
6.
Li, Chuan, Lili Qu, Alyssa Matz, et al.. (2021). AtheroSpectrum Reveals Novel Macrophage Foam Cell Gene Signatures Associated With Atherosclerotic Cardiovascular Disease Risk. Circulation. 145(3). 206–218. 36 indexed citations
7.
Yu, Fei, et al.. (2020). Decreased miR-150 in obesity-associated type 2 diabetic mice increases intraocular inflammation and exacerbates retinal dysfunction. BMJ Open Diabetes Research & Care. 8(1). e001446–e001446. 13 indexed citations
8.
Ganugula, Raghu, Meenakshi Arora, Ruedeekorn Wiwattanapatapee, et al.. (2017). Nano‐curcumin safely prevents streptozotocin‐induced inflammation and apoptosis in pancreatic beta cells for effective management of Type 1 diabetes mellitus. British Journal of Pharmacology. 174(13). 2074–2084. 89 indexed citations
9.
Cui, Juan, Beiyan Zhou, Sharon A. Ross, & Janos Zempleni. (2017). Nutrition, microRNAs, and Human Health. Advances in Nutrition. 8(1). 105–112. 116 indexed citations
10.
Wei, Ying, Alexander M. Tseng, Richard Chang, et al.. (2016). miR-150 regulates obesity-associated insulin resistance by controlling B cell functions. Scientific Reports. 6(1). 20176–20176. 65 indexed citations
11.
Shi, Liheng, Andy Jeesu Kim, Richard Chang, et al.. (2016). Deletion of miR-150 Exacerbates Retinal Vascular Overgrowth in High-Fat-Diet Induced Diabetic Mice. PLoS ONE. 11(6). e0157543–e0157543. 27 indexed citations
12.
Yang, Ence, et al.. (2016). Epistasis and destabilizing mutations shape gene expression variability in humans via distinct modes of action. Human Molecular Genetics. 25(22). ddw314–ddw314. 3 indexed citations
13.
Bazer, Fuller W., Wei Ying, Xiaoqiu Wang, et al.. (2015). The many faces of interferon tau. Amino Acids. 47(3). 449–460. 46 indexed citations
14.
Wei, Ying, Richard Chang, Vijayalekshmi Nair, et al.. (2014). Interferon Tau Alleviates Obesity-Induced Adipose Tissue Inflammation and Insulin Resistance by Regulating Macrophage Polarization. PLoS ONE. 9(6). e98835–e98835. 27 indexed citations
15.
Bousquet, Marina, Guoqing Zhuang, Cong Meng, et al.. (2013). miR-150 Blocks MLL-AF9–Associated Leukemia through Oncogene Repression. Molecular Cancer Research. 11(8). 912–922. 30 indexed citations
16.
Ying, Wei, Patali S. Cheruku, Fuller W. Bazer, Stephen Safe, & Beiyan Zhou. (2013). Investigation of Macrophage Polarization Using Bone Marrow Derived Macrophages. Journal of Visualized Experiments. 266 indexed citations
17.
Le, Minh T. N., Cathleen Teh, Ng Shyh‐Chang, et al.. (2009). MicroRNA-125b is a novel negative regulator of p53. Genes & Development. 23(7). 862–876. 545 indexed citations breakdown →
18.
Lodish, Harvey F., et al.. (2008). Micromanagement of the immune system by microRNAs. Nature reviews. Immunology. 8(2). 120–130. 360 indexed citations
19.
Zhang, Cheng, Beiyan Zhou, Drazen B. Zimonjic, et al.. (2007). Enrichment of a Population of Mammary Gland Cells that Form Mammospheres and Have In vivo Repopulating Activity. Cancer Research. 67(17). 8131–8138. 141 indexed citations
20.
Zhou, Beiyan, et al.. (2002). Two Placental Hormones Are Agonists in Stimulating Megakaryocyte Growth and Differentiation. Endocrinology. 143(11). 4281–4286. 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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