Zhen Miao

2.1k total citations
30 papers, 931 citations indexed

About

Zhen Miao is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Zhen Miao has authored 30 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Oncology. Recurrent topics in Zhen Miao's work include Renal and related cancers (7 papers), Single-cell and spatial transcriptomics (5 papers) and Epigenetics and DNA Methylation (5 papers). Zhen Miao is often cited by papers focused on Renal and related cancers (7 papers), Single-cell and spatial transcriptomics (5 papers) and Epigenetics and DNA Methylation (5 papers). Zhen Miao collaborates with scholars based in United States, China and Canada. Zhen Miao's co-authors include Junhyong Kim, Andrew P. McMahon, Benjamin D. Humphreys, Katalin Suszták, Hongbo Liu, Ziyuan Ma, Mingyao Li, Vivianna M. Van Deerlin, Xuran Wang and Aivi T. Nguyen and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Nature Genetics.

In The Last Decade

Zhen Miao

28 papers receiving 916 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhen Miao United States 16 492 182 131 116 115 30 931
Cheryl de Vallière Switzerland 15 470 1.0× 136 0.7× 96 0.7× 31 0.3× 119 1.0× 28 786
Liang Yuan China 13 496 1.0× 141 0.8× 227 1.7× 33 0.3× 100 0.9× 26 885
Jinxiang Yuan China 14 290 0.6× 112 0.6× 74 0.6× 42 0.4× 50 0.4× 43 799
Jae‐Pil Jeon South Korea 18 530 1.1× 90 0.5× 108 0.8× 30 0.3× 147 1.3× 39 923
Qiang He China 15 318 0.6× 76 0.4× 138 1.1× 42 0.4× 82 0.7× 30 698
Guoquan Gao China 17 474 1.0× 106 0.6× 106 0.8× 43 0.4× 42 0.4× 36 959
Hongxu Xian United States 9 922 1.9× 353 1.9× 86 0.7× 31 0.3× 40 0.3× 14 1.3k
Raphael Sanches Peres Brazil 17 349 0.7× 293 1.6× 48 0.4× 98 0.8× 26 0.2× 23 818
Rui Feng China 16 386 0.8× 196 1.1× 125 1.0× 56 0.5× 46 0.4× 39 807

Countries citing papers authored by Zhen Miao

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Miao. A scholar is included among the top collaborators of Zhen Miao 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 Zhen Miao. Zhen Miao 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.
Miao, Zhen, Kari Koppitch, Victoria M.-Y. Wang, et al.. (2025). Controlling nephron precursor differentiation to generate proximal-biased kidney organoids with emerging maturity. Nature Communications. 16(1). 8136–8136. 1 indexed citations
2.
Miao, Zhen, et al.. (2025). Depth-corrected multi-factor dissection of chromatin accessibility for scATAC-seq data with PACS. Nature Communications. 16(1). 401–401. 1 indexed citations
3.
Zhang, Zi‐Hui, et al.. (2025). Paquinimod‐hydrogel hybrid microneedle array patch alleviates hypertrophic scar via inhibiting M1 polarization. Bioengineering & Translational Medicine. 10(5). e70016–e70016.
4.
5.
Xiong, Lingyun, Jing Liu, Kari Koppitch, et al.. (2023). Direct androgen receptor control of sexually dimorphic gene expression in the mammalian kidney. Developmental Cell. 58(21). 2338–2358.e5. 17 indexed citations
6.
Zhang, Yuchao, et al.. (2023). Feature selection based on neighborhood rough sets and Gini index. PeerJ Computer Science. 9. e1711–e1711. 5 indexed citations
7.
Liu, Hongbo, Tomohito Doke, Xin Sheng, et al.. (2022). Epigenomic and transcriptomic analyses define core cell types, genes and targetable mechanisms for kidney disease. Nature Genetics. 54(7). 950–962. 102 indexed citations
8.
Gearhart, Micah D., et al.. (2022). Multiomics analysis reveals that hepatocyte nuclear factor 1β regulates axon guidance genes in the developing mouse kidney. Scientific Reports. 12(1). 17586–17586. 1 indexed citations
9.
Zhong, Leilei, Lutian Yao, Nicholas Holdreith, et al.. (2022). Transient expansion and myofibroblast conversion of adipogenic lineage precursors mediate bone marrow repair after radiation. JCI Insight. 7(7). 9 indexed citations
10.
Doke, Tomohito, Shizheng Huang, Chengxiang Qiu, et al.. (2021). Transcriptome-wide association analysis identifies DACH1 as a kidney disease risk gene that contributes to fibrosis. Journal of Clinical Investigation. 131(10). 50 indexed citations
11.
Guan, Yuting, Xiujie Liang, Ziyuan Ma, et al.. (2021). A single genetic locus controls both expression of DPEP1/CHMP1A and kidney disease development via ferroptosis. Nature Communications. 12(1). 5078–5078. 54 indexed citations
12.
Miao, Zhen, Benjamin D. Humphreys, Andrew P. McMahon, & Junhyong Kim. (2021). Multi-omics integration in the age of million single-cell data. Nature Reviews Nephrology. 17(11). 710–724. 126 indexed citations
13.
Miao, Zhen, Michael S. Balzer, Ziyuan Ma, et al.. (2021). Single cell regulatory landscape of the mouse kidney highlights cellular differentiation programs and disease targets. Nature Communications. 12(1). 2277–2277. 135 indexed citations
14.
Zhou, Xiaoxi, Tong Ge, Liang Huang, et al.. (2021). CAR19/22 T cell therapy in adult refractory Burkitt’s lymphoma. Cancer Immunology Immunotherapy. 70(8). 2379–2384. 22 indexed citations
15.
Govek, Kiya W., et al.. (2021). Single-cell transcriptomic analysis of mIHC images via antigen mapping. Science Advances. 7(10). 29 indexed citations
16.
Nguyen, Aivi T., Kui Wang, Gang Hu, et al.. (2020). APOE and TREM2 regulate amyloid-responsive microglia in Alzheimer’s disease. Acta Neuropathologica. 140(4). 477–493. 147 indexed citations
17.
Li, Xixi, Hui Yang, Xiaojian Gao, et al.. (2019). The pathogenicity characterization of non-O1 Vibrio cholerae and its activation on immune system in freshwater shrimp Macrobrachium nipponense. Fish & Shellfish Immunology. 87. 507–514. 40 indexed citations
18.
Huang, Liang, Na Wang, Yang Cao, et al.. (2018). CAR22/19 Cocktail Therapy for Patients with Refractory/Relapsed B-Cell Malignancies. Blood. 132(Supplement 1). 1408–1408. 20 indexed citations
19.
Zhang, Xu Dong, Zhen Miao, Ying Yu, et al.. (2018). A single point mutation in hmgA leads to melanin accumulation in Bacillus thuringiensis BMB181. Enzyme and Microbial Technology. 120. 91–97. 15 indexed citations
20.
Miao, Zhen & Wei Feng. (2000). Structural Determination of A New Bidesmosidic Triterpenoid Glycoside from Dipsocus Japonicus. Chinese Journal of Organic Chemistry.

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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