Zhen Shi

2.9k total citations · 1 hit paper
33 papers, 1.8k citations indexed

About

Zhen Shi is a scholar working on Molecular Biology, Cancer Research and Aging. According to data from OpenAlex, Zhen Shi has authored 33 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Aging. Recurrent topics in Zhen Shi's work include RNA Research and Splicing (7 papers), MicroRNA in disease regulation (6 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Zhen Shi is often cited by papers focused on RNA Research and Splicing (7 papers), MicroRNA in disease regulation (6 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Zhen Shi collaborates with scholars based in United States, China and Pakistan. Zhen Shi's co-authors include Maria Barna, Kotaro Fujii, Naomi R. Genuth, Kyle M. Kovary, Hannes Röst, Mary N. Teruel, Gary Ruvkun, Xinwei Li, Guowen Liu and Xiliang Du and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Zhen Shi

31 papers receiving 1.8k citations

Hit Papers

Heterogeneous Ribosomes Preferentially Translate Distinct... 2017 2026 2020 2023 2017 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Heterogeneous Ribosomes Preferentially Translate Distinct Subpools of mRNAs Genome-wide
    2017 413 citations Zhen Shi, Kotaro Fujii et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhen Shi United States 22 1.4k 235 141 141 136 33 1.8k
Anthony Chan United States 11 1.5k 1.1× 186 0.8× 59 0.4× 142 1.0× 93 0.7× 27 1.9k
Aleš Vančura United States 26 1.8k 1.3× 260 1.1× 68 0.5× 141 1.0× 149 1.1× 74 2.3k
Elizabeth Langley Mexico 20 1.3k 0.9× 200 0.9× 496 3.5× 110 0.8× 209 1.5× 46 2.4k
Yong Kee Kim South Korea 28 1.4k 1.0× 270 1.1× 123 0.9× 143 1.0× 119 0.9× 60 2.1k
Lisa D. Marroquin United States 12 1.0k 0.7× 144 0.6× 42 0.3× 59 0.4× 112 0.8× 19 1.6k
Liyuan Li China 18 629 0.5× 146 0.6× 71 0.5× 218 1.5× 140 1.0× 52 1.2k
Miran Jang South Korea 19 753 0.5× 272 1.2× 33 0.2× 176 1.2× 117 0.9× 76 1.5k
Ben Van Houten United States 17 1.0k 0.7× 201 0.9× 255 1.8× 54 0.4× 57 0.4× 20 1.5k

Countries citing papers authored by Zhen Shi

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Shi. A scholar is included among the top collaborators of Zhen Shi 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 Shi. Zhen Shi 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
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Yao, Qian, et al.. (2024). Topoisomerase-modulated genome-wide DNA supercoiling domains colocalize with nuclear compartments and regulate human gene expression. Nature Structural & Molecular Biology. 32(1). 48–61. 7 indexed citations
4.
Yu, Hao, Juan J. Loor, Qianming Jiang, et al.. (2022). Activation of Transcription Factor EB Is Associated With Adipose Tissue Lipolysis in Dairy Cows With Subclinical Ketosis. Frontiers in Veterinary Science. 9. 816064–816064. 2 indexed citations
5.
Shi, Zhen, Yuxiang Song, Juan J. Loor, et al.. (2021). Disruption of endoplasmic reticulum homeostasis exacerbates liver injury in clinically ketotic cows. Journal of Dairy Science. 104(8). 9130–9141. 13 indexed citations
6.
Shi, Zhen, Xiong Li, Tuo Liu, & Wei Wu. (2021). Alteration of bacterial communities and co-occurrence networks as a legacy effect upon exposure to polyethylene residues under field environment. Journal of Hazardous Materials. 426. 128126–128126. 23 indexed citations
7.
Shi, Zhen, et al.. (2019). Metabolic Regulation of Dendritic Cell Differentiation. Frontiers in Immunology. 10. 410–410. 44 indexed citations
8.
Du, Xiliang, Xiaobing Li, Liang Chen, et al.. (2018). Hepatic miR‐125b inhibits insulin signaling pathway by targeting PIK3CD. Journal of Cellular Physiology. 233(8). 6052–6066. 26 indexed citations
9.
Zhu, Yiwei, Guowen Liu, Xiliang Du, et al.. (2018). Expression patterns of hepatic genes involved in lipid metabolism in cows with subclinical or clinical ketosis. Journal of Dairy Science. 102(2). 1725–1735. 64 indexed citations
10.
Feng, Lijuan, et al.. (2018). Enhancer of polycomb maintains germline activity and genome integrity in Drosophila testis. Cell Death and Differentiation. 25(8). 1486–1502. 13 indexed citations
11.
Du, Xiliang, Zhen Shi, Zhicheng Peng, et al.. (2017). Acetoacetate induces hepatocytes apoptosis by the ROS‐mediated MAPKs pathway in ketotic cows. Journal of Cellular Physiology. 232(12). 3296–3308. 131 indexed citations
12.
Fujii, Kotaro, et al.. (2017). Pervasive translational regulation of the cell signalling circuitry underlies mammalian development. Nature Communications. 8(1). 14443–14443. 46 indexed citations
13.
Feng, Lijuan, Zhen Shi, & Xin Chen. (2017). Enhancer of polycomb coordinates multiple signaling pathways to promote both cyst and germline stem cell differentiation in the Drosophila adult testis. PLoS Genetics. 13(2). e1006571–e1006571. 26 indexed citations
14.
Eun, Suk Ho, Zhen Shi, Kairong Cui, Keji Zhao, & Xin Chen. (2014). A Non–Cell Autonomous Role of E ( z ) to Prevent Germ Cells from Turning on a Somatic Cell Marker. Science. 343(6178). 1513–1516. 36 indexed citations
15.
Shi, Zhen, Taiowa A. Montgomery, Qi Yan, & Gary Ruvkun. (2013). High-throughput sequencing reveals extraordinary fluidity of miRNA, piRNA, and siRNA pathways in nematodes. Genome Research. 23(3). 497–508. 50 indexed citations
16.
Fu, Yu, Binlu Huang, Zhen Shi, et al.. (2013). SRSF1 and SRSF9 RNA binding proteins promote Wnt signalling‐mediated tumorigenesis by enhancing β‐catenin biosynthesis. EMBO Molecular Medicine. 5(5). 737–750. 88 indexed citations
17.
Shi, Zhen, Gabriel D. Hayes, & Gary Ruvkun. (2013). Dual Regulation of the lin-14 Target mRNA by the lin-4 miRNA. PLoS ONE. 8(9). e75475–e75475. 10 indexed citations
18.
Fischer, Sylvia E. J., Qi Pan, Peter C. Breen, et al.. (2013). Multiple small RNA pathways regulate the silencing of repeated and foreign genes in C. elegans. Genes & Development. 27(24). 2678–2695. 31 indexed citations
19.
Shi, Zhen & Gary Ruvkun. (2012). The mevalonate pathway regulates microRNA activity in Caenorhabditis elegans. Proceedings of the National Academy of Sciences. 109(12). 4568–4573. 25 indexed citations
20.
Shi, Zhen, et al.. (1994). Isolation and characterization of the gene encoding 2,3-oxidosqualene-lanosterol cyclase from Saccharomyces cerevisiae.. Proceedings of the National Academy of Sciences. 91(15). 7370–7374. 88 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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